About Faculty Faculty transforms organisational performance through safe, impactful and human-led AI. We are Europe's leading applied AI company, and saw its potential a decade ago - long before the current hype cycle. We founded in 2014 with our Fellowship programme, training academics to become commercial data scientists. Today, we provide over 300 global customers with industry-leading software, and bespoke AI consultancy for retail, healthcare, energy, and governmental organisations, as well as our award winning Fellowship. Our expertise and safety credentials are such that OpenAI asked us to be their first technical partner, helping customers deploy cutting-edge generative AI safely. Our high-impact work has saved lives through forecasting NHS demand during covid, produced green energy by routing boats towards the wind, slashed marketing spend by predicting customer spending habits, and kept children safe online. AI is an epoch-defining technology. We want people to join us who can help our customers reap its enormous benefits safely. What You'll Be Doing You will design, build, and deploy production-grade software, infrastructure, and MLOps systems that leverage machine learning. The work you do will help our customers solve a broad range of high-impact problems in the Retail and Consumer space - examples of which can be found here . You are engineering-focused, with a keen interest and working knowledge of operationalised machine learning. You have a desire to take cutting-edge ML applications into the real world. You will develop new methodologies and champion best practices for managing AI systems deployed at scale, with regard to technical, ethical and practical requirements. You will support both technical and non-technical stakeholders to deploy ML to solve real-world problems. To enable this, we work in cross-functional teams with representation from commercial, data science, product management and design specialities to cover all aspects of AI product delivery. The Machine Learning Engineering team is responsible for the engineering aspects of our customer delivery projects. As a Machine Learning Engineer, you'll be essential to helping us achieve that goal by: Building software and infrastructure that leverages Machine Learning; Creating reusable, scalable tools to enable better delivery of ML systems Working with our customers to help understand their needs Working with data scientists and engineers to develop best practices and new technologies; and Implementing and developing Faculty's view on what it means to operationalise ML software. We're a rapidly growing organisation, so roles are dynamic and subject to change. Your role will evolve alongside business needs, but you can expect your key responsibilities to include: Working in cross-functional teams of engineers, data scientists, designers and managers to deliver technically sophisticated, high-impact systems. Working with senior engineers to scope projects and design systems Providing technical expertise to our customers Technical Delivery Who We're Looking For At Faculty, your attitude and behaviour are just as important as your technical skill. We look for individuals who can support our values, foster our culture, and deliver for our organisation. We like people who combine expertise and ambition with optimism who are interested in changing the world for the better and have the drive and intelligence to make it happen. If you're the right candidate for us, you probably: Think scientifically, even if you're not a scientist - you test assumptions, seek evidence and are always looking for opportunities to improve the way we do things. Love finding new ways to solve old problems - when it comes to your work and professional development, you don't believe in 'good enough'. You always seek new ways to solve old challenges. Are pragmatic and outcome-focused - you know how to balance the big picture with the little details and know a great idea is useless if it can't be executed in the real world. To succeed in this role, you'll need the following - these are illustrative requirements and we don't expect all applicants to have experience in everything (70% is a rough guide): Understanding of and interest in the full machine learning lifecycle, including deploying trained machine learning models developed using common frameworks such as Scikit-learn, TensorFlow, or PyTorch Understanding of the core concepts of probability and statistics and familiarity with common supervised and unsupervised learning techniques Experience in Software Engineering including programming in Python. Technical experience of cloud architecture, security, deployment, and open-source tools. Hands-on experience required of at least one major cloud platform Demonstrable experience with containers and specifically Docker and Kubernetes Comfortable in a high-growth startup environment. Outstanding verbal and written communication. Excitement about working in a dynamic role with the autonomy and freedom you need to take ownership of problems and see them through to execution Knowledge of (or interest in) retail-focused solutions around understanding consumer behaviours
Apr 29, 2024
Full time
About Faculty Faculty transforms organisational performance through safe, impactful and human-led AI. We are Europe's leading applied AI company, and saw its potential a decade ago - long before the current hype cycle. We founded in 2014 with our Fellowship programme, training academics to become commercial data scientists. Today, we provide over 300 global customers with industry-leading software, and bespoke AI consultancy for retail, healthcare, energy, and governmental organisations, as well as our award winning Fellowship. Our expertise and safety credentials are such that OpenAI asked us to be their first technical partner, helping customers deploy cutting-edge generative AI safely. Our high-impact work has saved lives through forecasting NHS demand during covid, produced green energy by routing boats towards the wind, slashed marketing spend by predicting customer spending habits, and kept children safe online. AI is an epoch-defining technology. We want people to join us who can help our customers reap its enormous benefits safely. What You'll Be Doing You will design, build, and deploy production-grade software, infrastructure, and MLOps systems that leverage machine learning. The work you do will help our customers solve a broad range of high-impact problems in the Retail and Consumer space - examples of which can be found here . You are engineering-focused, with a keen interest and working knowledge of operationalised machine learning. You have a desire to take cutting-edge ML applications into the real world. You will develop new methodologies and champion best practices for managing AI systems deployed at scale, with regard to technical, ethical and practical requirements. You will support both technical and non-technical stakeholders to deploy ML to solve real-world problems. To enable this, we work in cross-functional teams with representation from commercial, data science, product management and design specialities to cover all aspects of AI product delivery. The Machine Learning Engineering team is responsible for the engineering aspects of our customer delivery projects. As a Machine Learning Engineer, you'll be essential to helping us achieve that goal by: Building software and infrastructure that leverages Machine Learning; Creating reusable, scalable tools to enable better delivery of ML systems Working with our customers to help understand their needs Working with data scientists and engineers to develop best practices and new technologies; and Implementing and developing Faculty's view on what it means to operationalise ML software. We're a rapidly growing organisation, so roles are dynamic and subject to change. Your role will evolve alongside business needs, but you can expect your key responsibilities to include: Working in cross-functional teams of engineers, data scientists, designers and managers to deliver technically sophisticated, high-impact systems. Working with senior engineers to scope projects and design systems Providing technical expertise to our customers Technical Delivery Who We're Looking For At Faculty, your attitude and behaviour are just as important as your technical skill. We look for individuals who can support our values, foster our culture, and deliver for our organisation. We like people who combine expertise and ambition with optimism who are interested in changing the world for the better and have the drive and intelligence to make it happen. If you're the right candidate for us, you probably: Think scientifically, even if you're not a scientist - you test assumptions, seek evidence and are always looking for opportunities to improve the way we do things. Love finding new ways to solve old problems - when it comes to your work and professional development, you don't believe in 'good enough'. You always seek new ways to solve old challenges. Are pragmatic and outcome-focused - you know how to balance the big picture with the little details and know a great idea is useless if it can't be executed in the real world. To succeed in this role, you'll need the following - these are illustrative requirements and we don't expect all applicants to have experience in everything (70% is a rough guide): Understanding of and interest in the full machine learning lifecycle, including deploying trained machine learning models developed using common frameworks such as Scikit-learn, TensorFlow, or PyTorch Understanding of the core concepts of probability and statistics and familiarity with common supervised and unsupervised learning techniques Experience in Software Engineering including programming in Python. Technical experience of cloud architecture, security, deployment, and open-source tools. Hands-on experience required of at least one major cloud platform Demonstrable experience with containers and specifically Docker and Kubernetes Comfortable in a high-growth startup environment. Outstanding verbal and written communication. Excitement about working in a dynamic role with the autonomy and freedom you need to take ownership of problems and see them through to execution Knowledge of (or interest in) retail-focused solutions around understanding consumer behaviours
Senior Vice President, Sales, Corporate Markets page is loaded Senior Vice President, Sales, Corporate Markets Apply locations London Philadelphia, PA time type Full time posted on Posted 2 Days Ago job requisition id R76879 Are you a sales leader with experience delivering growth objectives? Would you like to develop and evolve sales strategy in line with strategic objectives? About our Team Elsevier is a global information analytics company that helps institutions and professionals progress science, advance healthcare and improve performance for the benefit of humanity. We serve the research, academic and clinical communities through the application of technology and analytics to content. Our portfolio of solutions brings together extensive Scientific, Technical and Medical content, powerful analytics, and technologies. We help our corporate customers, R&D professionals, engineers, scientists and commercial marketing leaders, to innovate and commercialize ideas, products and processes. About the Role In this role, you will lead the change and evolution of our sales approach, providing leadership of the Corporate Markets sales force. You will set overall sales strategy and tactics, you will drive adoption of key technologies and you will build best-in-class go-to-market capabilities. You will champion the development of our data-as-a-service model. You will align all segment, inside sales and solution sales leadership to maximize revenue opportunities and optimize the channel mix. Responsibilities Managing and delivering planned sales results of +$300M per annum Driving the implementation and adoption of key digital sales tools e.g. Gong, Salesforce. Gaining buy-in from middle-layer Sales Leaders to support you in championing and effecting change. Leading the Corporate Markets sales team with a compelling strategic vision, setting direction, driving alignment, adoption and collaboration between teams. Effectively contributing to the executive strategy of Elsevier's Corporate Markets segment, providing critical market insight. Embodying customer-focused leadership, promoting a deep understanding and passion for discovery and needs analysis in the sales process. Leading with honesty and integrity. Maintaining and retaining existing business whilst diligently driving the acquisition of new business. Developing and evolving the sales strategy in line with Elsevier's strategic objectives. Evolving the sales force's understanding of key products and solutions as they diversify. Guiding the sales force in utilizing this knowledge in the markets in which we operate. Encouraging and driving cross-functional collaboration between internal functions such as Product and Marketing. Championing a metrics-driven approach to analyze, calibrate and strategize specific sales activities that lead to success Requirements Demonstrate depth of understanding of corporate markets, with proven ability to train, develop and continuously improve, motivate and inspire sales teams Have experience selling complex solutions with a highly analytical approach in a B2B environment, ideally to pharmaceutical/life sciences customers or to equivalent research-intensive industries or sectors. Demonstrate strategic thinking at leadership level, representing the voice of the customer and how their needs are evolving. Possess a high level of professionalism combined with the ability to build positive and highly valuable relationships Experience developing business, sales strategy and market segmentation internationally. Experience deploying and driving the adoption of digital tools in the sales process. Able to recognize significant growth potential opportunities, developing and leveraging Elsevier's product offerings. Able to identify, address and overcome obstacles and challenges. Be experienced in leading and coaching high-performing sales professionals from different backgrounds in a large international matrix organization. Be adaptable to different cultural norms. Build highly effective teams from the ground up, developing, mentoring, recruiting and retaining key talent. Possess emotional intelligence, able to build trust, resolve conflict and foster exceptional teamwork. Work in a way that works for you We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive Working for you We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Generous holiday allowance with the option to buy additional days Health screening, eye care vouchers and private medical benefits Wellbeing programs Life assurance Access to a competitive contributory pension scheme Save As You Earn share option scheme Travel Season ticket loan Electric Vehicle Scheme Optional Dental Insurance Maternity, paternity and shared parental leave Employee Assistance Programme Access to emergency care for both the elderly and children RECARES days, giving you time to support the charities and causes that matter to you Access to employee resource groups with dedicated time to volunteer Access to extensive learning and development resources Access to employee discounts scheme via Perks at Work About the Business A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world. - Elsevier is an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form: , or please contact 1-. Please read our Candidate Privacy Policy . RELX is a global provider of information and analytics for professional and business customers across industries. We help scientists make new discoveries, lawyers win cases, doctors save lives and insurance companies offer customers lower prices. We save taxpayers and consumers money by preventing fraud and help executives forge commercial relationships with their clients. In short, we enable our customers to make better decisions, get better results and be more productive.
Apr 29, 2024
Full time
Senior Vice President, Sales, Corporate Markets page is loaded Senior Vice President, Sales, Corporate Markets Apply locations London Philadelphia, PA time type Full time posted on Posted 2 Days Ago job requisition id R76879 Are you a sales leader with experience delivering growth objectives? Would you like to develop and evolve sales strategy in line with strategic objectives? About our Team Elsevier is a global information analytics company that helps institutions and professionals progress science, advance healthcare and improve performance for the benefit of humanity. We serve the research, academic and clinical communities through the application of technology and analytics to content. Our portfolio of solutions brings together extensive Scientific, Technical and Medical content, powerful analytics, and technologies. We help our corporate customers, R&D professionals, engineers, scientists and commercial marketing leaders, to innovate and commercialize ideas, products and processes. About the Role In this role, you will lead the change and evolution of our sales approach, providing leadership of the Corporate Markets sales force. You will set overall sales strategy and tactics, you will drive adoption of key technologies and you will build best-in-class go-to-market capabilities. You will champion the development of our data-as-a-service model. You will align all segment, inside sales and solution sales leadership to maximize revenue opportunities and optimize the channel mix. Responsibilities Managing and delivering planned sales results of +$300M per annum Driving the implementation and adoption of key digital sales tools e.g. Gong, Salesforce. Gaining buy-in from middle-layer Sales Leaders to support you in championing and effecting change. Leading the Corporate Markets sales team with a compelling strategic vision, setting direction, driving alignment, adoption and collaboration between teams. Effectively contributing to the executive strategy of Elsevier's Corporate Markets segment, providing critical market insight. Embodying customer-focused leadership, promoting a deep understanding and passion for discovery and needs analysis in the sales process. Leading with honesty and integrity. Maintaining and retaining existing business whilst diligently driving the acquisition of new business. Developing and evolving the sales strategy in line with Elsevier's strategic objectives. Evolving the sales force's understanding of key products and solutions as they diversify. Guiding the sales force in utilizing this knowledge in the markets in which we operate. Encouraging and driving cross-functional collaboration between internal functions such as Product and Marketing. Championing a metrics-driven approach to analyze, calibrate and strategize specific sales activities that lead to success Requirements Demonstrate depth of understanding of corporate markets, with proven ability to train, develop and continuously improve, motivate and inspire sales teams Have experience selling complex solutions with a highly analytical approach in a B2B environment, ideally to pharmaceutical/life sciences customers or to equivalent research-intensive industries or sectors. Demonstrate strategic thinking at leadership level, representing the voice of the customer and how their needs are evolving. Possess a high level of professionalism combined with the ability to build positive and highly valuable relationships Experience developing business, sales strategy and market segmentation internationally. Experience deploying and driving the adoption of digital tools in the sales process. Able to recognize significant growth potential opportunities, developing and leveraging Elsevier's product offerings. Able to identify, address and overcome obstacles and challenges. Be experienced in leading and coaching high-performing sales professionals from different backgrounds in a large international matrix organization. Be adaptable to different cultural norms. Build highly effective teams from the ground up, developing, mentoring, recruiting and retaining key talent. Possess emotional intelligence, able to build trust, resolve conflict and foster exceptional teamwork. Work in a way that works for you We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive Working for you We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Generous holiday allowance with the option to buy additional days Health screening, eye care vouchers and private medical benefits Wellbeing programs Life assurance Access to a competitive contributory pension scheme Save As You Earn share option scheme Travel Season ticket loan Electric Vehicle Scheme Optional Dental Insurance Maternity, paternity and shared parental leave Employee Assistance Programme Access to emergency care for both the elderly and children RECARES days, giving you time to support the charities and causes that matter to you Access to employee resource groups with dedicated time to volunteer Access to extensive learning and development resources Access to employee discounts scheme via Perks at Work About the Business A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world. - Elsevier is an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form: , or please contact 1-. Please read our Candidate Privacy Policy . RELX is a global provider of information and analytics for professional and business customers across industries. We help scientists make new discoveries, lawyers win cases, doctors save lives and insurance companies offer customers lower prices. We save taxpayers and consumers money by preventing fraud and help executives forge commercial relationships with their clients. In short, we enable our customers to make better decisions, get better results and be more productive.
It's fun to work in a company where people truly BELIEVE in what they're doing! We're committed to bringing passion and customer focus to the business. Corporate Overview Proofpoint is a leading cybersecurity company protecting organizations' greatest assets and biggest risks: vulnerabilities in people. With an integrated suite of cloud-based solutions, Proofpoint helps companies around the world stop targeted threats, safeguard their data, and make their users more resilient against cyber attacks. Leading organizations of all sizes, including more than half of the Fortune 1000, rely on Proofpoint for people-centric security and compliance solutions mitigating their most critical risks across email, the cloud, social media, and the web. We are singularly devoted to helping our customers protect their greatest assets and biggest security risk: their people. That's why we're a leader in next-generation cybersecurity. The Role We are looking for a Sr. Product Manager who can work with our product teams to solve hard customer and business problems. At Proofpoint - Tessian, we value empowered product teams comprised of product managers, product designers and engineers. These teams are accountable to the business in solving customer problems in a way that would delight the customers while meeting business constraints in viability, usability, and feasibility. As a senior product manager, you will play a critical role in ensuring the success of the product teams by influencing the key stakeholders and executives as well as colleagues in other parts of the business, such as customer service, finance, and security. Own and define product requirements and vision, as well as security and cost considerations Managing a product backlog, creating user stories and requirements documentation Collaborate with engineering, QA, UX and doc teams to deliver the required solutions on schedule Educating the sales, sales engineering, professional services and support organizations on the product as well as provisioning and management best practices What you bring to the team Demonstrable experience working on technology-driven products as a product manager, researcher or data scientist, engineer or product designer. Demonstrated ability to engage multiple areas of the business - engineering, design, sales, customer success and marketing - in a constructive and collaborative relationship. Demonstrated ability to use data-driven, written narrative to convey problem statements, constraints, risks, and potential solutions in a well-structured manner with input from multiple stakeholders. Proven ability to launch product capabilities and solutions, including enabling sales, support, and customer success team, including running a product beta launch and tracking adoption metrics and customer feedback. Proven ability to engage customers, and track industry trends and the competitive landscape as they pertain to the product. Experience working in cybersecurity product space and/or email security space. Experience using Productboard, Pendo, Figma or similar tools used in modern product discovery and product delivery. Why Proofpoint Protecting people is at the heart of our award-winning cybersecurity solutions, and the people who work here are the key to our success. We're a customer-focused and driven-to-win organisation with leading-edge products. We are an inclusive, diverse, multinational company that believes in culture fit, but more importantly 'culture-add', and we strongly encourage people from all walks of life to apply. We believe in hiring the best and the brightest to help cultivate our culture of collaboration and appreciation. Apply today and explore your future at Proofpoint! If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us! Proofpoint Best Places to Work Awards Proofpoint has been honored with five Best Places to Work Awards in 2024 by workplace culture leader Comparably, including Best Company Outlook, Best Global Culture, Best Engineering Teams, Best Sales Teams, and Best HR Teams. Proofpoint thrives on the invaluable contributions of our diverse workforce, which encompasses a kaleidoscope of lived experiences, thoughts, perspectives, and professional expertise. We attribute much of our success to our people, who are at the core of our organization and embody our people-centric ethos. Disrupting the Status Quo We hire the most innovative minds globally to safeguard our customers' sensitive data and intellectual property. Our talented workforce develops and leverages our advanced technology, combining their expertise to provide comprehensive protection against threat actors and mitigate the risks posed by both malicious and negligent employees. Making a Difference Cyberattacks have the potential to disrupt access to vital resources such as energy, water, transportation, healthcare, and financial services. At Proofpoint, our dedicated team works tirelessly to ensure world-class cyber resilience, protecting approximately 8,000 enterprise customers worldwide. Our Commitment We are committed to creating a diverse, equitable, and inclusive environment. We work every day to ensure that our employees feel that they are in a community that celebrates their unique identity, cultivates their sense of belonging, and invests in their professional growth. We have 9 employee-led employee inclusion groups which help support both employees and our organization by providing opportunities to network, discuss career and cultural development and uplift the corporate culture to create a more inclusive workplace. About Us At Proofpoint, we have a passion for protecting people, data, and brands from today's advanced threats and compliance risks. We hire the best people in the business to: Build and enhance our proven security platform Blend innovation and speed in a constantly evolving cloud architecture Analyze new threats and offer deep insight through data-driven intel Collaborate with customers to help solve their toughest security challenges We are singularly devoted to helping our customers protect what matters most. That's why we're a leader in next-generation cybersecurity-and why more than half of the Fortune 100 trust us as a security partner. Proofpoint is an equal opportunity employer, we hire without consideration to race, religion, creed, color, national origin, age, gender, sexual orientation, marital status, veteran status or disability.
Apr 29, 2024
Full time
It's fun to work in a company where people truly BELIEVE in what they're doing! We're committed to bringing passion and customer focus to the business. Corporate Overview Proofpoint is a leading cybersecurity company protecting organizations' greatest assets and biggest risks: vulnerabilities in people. With an integrated suite of cloud-based solutions, Proofpoint helps companies around the world stop targeted threats, safeguard their data, and make their users more resilient against cyber attacks. Leading organizations of all sizes, including more than half of the Fortune 1000, rely on Proofpoint for people-centric security and compliance solutions mitigating their most critical risks across email, the cloud, social media, and the web. We are singularly devoted to helping our customers protect their greatest assets and biggest security risk: their people. That's why we're a leader in next-generation cybersecurity. The Role We are looking for a Sr. Product Manager who can work with our product teams to solve hard customer and business problems. At Proofpoint - Tessian, we value empowered product teams comprised of product managers, product designers and engineers. These teams are accountable to the business in solving customer problems in a way that would delight the customers while meeting business constraints in viability, usability, and feasibility. As a senior product manager, you will play a critical role in ensuring the success of the product teams by influencing the key stakeholders and executives as well as colleagues in other parts of the business, such as customer service, finance, and security. Own and define product requirements and vision, as well as security and cost considerations Managing a product backlog, creating user stories and requirements documentation Collaborate with engineering, QA, UX and doc teams to deliver the required solutions on schedule Educating the sales, sales engineering, professional services and support organizations on the product as well as provisioning and management best practices What you bring to the team Demonstrable experience working on technology-driven products as a product manager, researcher or data scientist, engineer or product designer. Demonstrated ability to engage multiple areas of the business - engineering, design, sales, customer success and marketing - in a constructive and collaborative relationship. Demonstrated ability to use data-driven, written narrative to convey problem statements, constraints, risks, and potential solutions in a well-structured manner with input from multiple stakeholders. Proven ability to launch product capabilities and solutions, including enabling sales, support, and customer success team, including running a product beta launch and tracking adoption metrics and customer feedback. Proven ability to engage customers, and track industry trends and the competitive landscape as they pertain to the product. Experience working in cybersecurity product space and/or email security space. Experience using Productboard, Pendo, Figma or similar tools used in modern product discovery and product delivery. Why Proofpoint Protecting people is at the heart of our award-winning cybersecurity solutions, and the people who work here are the key to our success. We're a customer-focused and driven-to-win organisation with leading-edge products. We are an inclusive, diverse, multinational company that believes in culture fit, but more importantly 'culture-add', and we strongly encourage people from all walks of life to apply. We believe in hiring the best and the brightest to help cultivate our culture of collaboration and appreciation. Apply today and explore your future at Proofpoint! If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us! Proofpoint Best Places to Work Awards Proofpoint has been honored with five Best Places to Work Awards in 2024 by workplace culture leader Comparably, including Best Company Outlook, Best Global Culture, Best Engineering Teams, Best Sales Teams, and Best HR Teams. Proofpoint thrives on the invaluable contributions of our diverse workforce, which encompasses a kaleidoscope of lived experiences, thoughts, perspectives, and professional expertise. We attribute much of our success to our people, who are at the core of our organization and embody our people-centric ethos. Disrupting the Status Quo We hire the most innovative minds globally to safeguard our customers' sensitive data and intellectual property. Our talented workforce develops and leverages our advanced technology, combining their expertise to provide comprehensive protection against threat actors and mitigate the risks posed by both malicious and negligent employees. Making a Difference Cyberattacks have the potential to disrupt access to vital resources such as energy, water, transportation, healthcare, and financial services. At Proofpoint, our dedicated team works tirelessly to ensure world-class cyber resilience, protecting approximately 8,000 enterprise customers worldwide. Our Commitment We are committed to creating a diverse, equitable, and inclusive environment. We work every day to ensure that our employees feel that they are in a community that celebrates their unique identity, cultivates their sense of belonging, and invests in their professional growth. We have 9 employee-led employee inclusion groups which help support both employees and our organization by providing opportunities to network, discuss career and cultural development and uplift the corporate culture to create a more inclusive workplace. About Us At Proofpoint, we have a passion for protecting people, data, and brands from today's advanced threats and compliance risks. We hire the best people in the business to: Build and enhance our proven security platform Blend innovation and speed in a constantly evolving cloud architecture Analyze new threats and offer deep insight through data-driven intel Collaborate with customers to help solve their toughest security challenges We are singularly devoted to helping our customers protect what matters most. That's why we're a leader in next-generation cybersecurity-and why more than half of the Fortune 100 trust us as a security partner. Proofpoint is an equal opportunity employer, we hire without consideration to race, religion, creed, color, national origin, age, gender, sexual orientation, marital status, veteran status or disability.
Moody's is a developmental culture where we value candidates who are willing to grow. So, if you are excited about this opportunity but don't meet every single requirement, please apply! You may be a perfect fit for this role or other open roles. Moody's is a global integrated risk assessment firm that empowers organizations to make better decisions. At Moody's, we're taking action. We're hiring diverse talent and providing underrepresented groups with equitable opportunities in their careers. We're educating, empowering and elevating our people, and creating a workplace where each person can be their true selves, reach their full potential and thrive on every level. Learn more about our DE&I initiatives, employee development programs and view our annual DE&I Report at Central Product Group In the Central Product Group, we foster a collaborative approach to strategy and marketing to serve our customers. Our culture and approach is anchored in iterative and innovative learning and delivery, that puts the customer at the center of everything we do. We're here to identify new market opportunities, create a company-wide marketing strategy, and drive best practice, consistency and a coordinated approach to product strategy. Our team is made up of dedicated individuals such as marketing and business development experts, product owners and business founders, brand strategists and event professionals. We work hard to build a culture of innovation that encourages experimentation and an open mindset to problem solving. Role/Responsibilities: The Assc Dir-Machine Learning Eng will be responsible for developing cutting-edge software applications in generative AI and building innovative solutions that address the unique challenges faced by Moody's. You will be working closely with our data scientists, engineers, and domain experts to build the next generation of Moody's products and services. • Develop production grade generative AI solutions, with a focus on large language models, to develop novel methods and techniques that can be applied to Moody's challenges. • Collaborate with cross-functional teams to define objectives, identify data sources, assist data collection process, and develop production grade software applications. • Design, implement, and validate machine learning algorithms and models; optimize and productionize their performance for real-world applications. • Stay up to date with the latest developments in the field of generative AI and identify opportunities to apply state-of-the-art research to Moody's problems. • Communicate research findings and insights to both technical and non-technical stakeholders through presentations, reports, and publications. • Contribute to the broader research community by publishing research in top-tier conferences and journals. • Mentor and provide guidance to junior researchers and data scientists. Qualifications: • Master's degree in Computer Science, Machine Learning, Computer Engineering, relevant technical field, or equivalent practical experience. • Strong background in generative AI, with a focus on large language models and natural language processing. • Proficiency in Python, and experience with machine learning frameworks such as PyTorch or TensorFlow. • Knowledge of state-of-the-art machine learning techniques, including deep learning, reinforcement learning, and unsupervised learning. • Demonstrated ability to design, implement, and validate machine learning models for real-world applications. • Excellent problem-solving, analytical, and critical thinking skills. • Strong written and verbal communication skills, with the ability to present complex ideas to both technical and non-technical audiences. • Experience in the financial industry or credit risk modelling is a plus. Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, place of origin, disability, marital or familial status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. We encourage applications from Aboriginal persons, members of a visible minority group, persons with a disability, members of the LGBTQ+ community, and women. Moody's is committed to maintaining an inclusive, diverse and accessible workplace. To this end, reasonable accommodations are available on request, and will take into account the particular accommodation needs of individual candidates. If you are selected and require accommodation during any stage of the recruitment process, you may send your request to . Information provided during the accommodation process will be treated as confidential, and will be shared only to the extent required to properly evaluate accommodation requests. Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary. For more information on the Securities Trading Program, please refer to the STP Quick Reference guide on ComplianceNet Please note: STP categories are assigned by the hiring teams and are subject to change over the course of an employee's tenure with Moody's Company: Moody's Career Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) Tagged as: Industry , Natural Language Processing , NLP , Supervised Learning , United Kingdom , Unsupervised Learning
Apr 29, 2024
Full time
Moody's is a developmental culture where we value candidates who are willing to grow. So, if you are excited about this opportunity but don't meet every single requirement, please apply! You may be a perfect fit for this role or other open roles. Moody's is a global integrated risk assessment firm that empowers organizations to make better decisions. At Moody's, we're taking action. We're hiring diverse talent and providing underrepresented groups with equitable opportunities in their careers. We're educating, empowering and elevating our people, and creating a workplace where each person can be their true selves, reach their full potential and thrive on every level. Learn more about our DE&I initiatives, employee development programs and view our annual DE&I Report at Central Product Group In the Central Product Group, we foster a collaborative approach to strategy and marketing to serve our customers. Our culture and approach is anchored in iterative and innovative learning and delivery, that puts the customer at the center of everything we do. We're here to identify new market opportunities, create a company-wide marketing strategy, and drive best practice, consistency and a coordinated approach to product strategy. Our team is made up of dedicated individuals such as marketing and business development experts, product owners and business founders, brand strategists and event professionals. We work hard to build a culture of innovation that encourages experimentation and an open mindset to problem solving. Role/Responsibilities: The Assc Dir-Machine Learning Eng will be responsible for developing cutting-edge software applications in generative AI and building innovative solutions that address the unique challenges faced by Moody's. You will be working closely with our data scientists, engineers, and domain experts to build the next generation of Moody's products and services. • Develop production grade generative AI solutions, with a focus on large language models, to develop novel methods and techniques that can be applied to Moody's challenges. • Collaborate with cross-functional teams to define objectives, identify data sources, assist data collection process, and develop production grade software applications. • Design, implement, and validate machine learning algorithms and models; optimize and productionize their performance for real-world applications. • Stay up to date with the latest developments in the field of generative AI and identify opportunities to apply state-of-the-art research to Moody's problems. • Communicate research findings and insights to both technical and non-technical stakeholders through presentations, reports, and publications. • Contribute to the broader research community by publishing research in top-tier conferences and journals. • Mentor and provide guidance to junior researchers and data scientists. Qualifications: • Master's degree in Computer Science, Machine Learning, Computer Engineering, relevant technical field, or equivalent practical experience. • Strong background in generative AI, with a focus on large language models and natural language processing. • Proficiency in Python, and experience with machine learning frameworks such as PyTorch or TensorFlow. • Knowledge of state-of-the-art machine learning techniques, including deep learning, reinforcement learning, and unsupervised learning. • Demonstrated ability to design, implement, and validate machine learning models for real-world applications. • Excellent problem-solving, analytical, and critical thinking skills. • Strong written and verbal communication skills, with the ability to present complex ideas to both technical and non-technical audiences. • Experience in the financial industry or credit risk modelling is a plus. Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, place of origin, disability, marital or familial status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. We encourage applications from Aboriginal persons, members of a visible minority group, persons with a disability, members of the LGBTQ+ community, and women. Moody's is committed to maintaining an inclusive, diverse and accessible workplace. To this end, reasonable accommodations are available on request, and will take into account the particular accommodation needs of individual candidates. If you are selected and require accommodation during any stage of the recruitment process, you may send your request to . Information provided during the accommodation process will be treated as confidential, and will be shared only to the extent required to properly evaluate accommodation requests. Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary. For more information on the Securities Trading Program, please refer to the STP Quick Reference guide on ComplianceNet Please note: STP categories are assigned by the hiring teams and are subject to change over the course of an employee's tenure with Moody's Company: Moody's Career Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) Tagged as: Industry , Natural Language Processing , NLP , Supervised Learning , United Kingdom , Unsupervised Learning
Site Name: London The Stanley Building Posted Date: Mar At GSK, we want to supercharge our data capability to better understand our patients and accelerate our ability to discover vaccines and medicines. The Onyx Research Data Platform organization represents a major investment by GSK R&D and Digital & Tech, designed to deliver a step-change in our ability to leverage data, knowledge, and prediction to find new medicines. We are a full-stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data / metadata / knowledge platforms, and AI/ML and analysis platforms, all geared toward: Building a next-generation, metadata- and automation-driven data experience for GSK's scientists, engineers, and decision-makers, increasing productivity and reducing time spent on "data mechanics" Providing best-in-class AI/ML and data analysis environments to accelerate our predictive capabilities and attract top-tier talent Aggressively engineering our data at scale, as one unified asset, to unlock the value of our unique collection of data and predictions in real-time Onyx Product Management is at the heart of our mission, ensuring that everything from our infrastructure, to platforms, to end-user facing data assets and environments is designed to maximize our impact on R&D. The Product Management team partners with R&D stakeholders and Onyx leadership to develop a strategic roadmap for all customer-facing aspects of Onyx, including data assets, ontology, Knowledge Graph / semantic search, data / computing / analysis platforms, and data-powered applications. We are seeking a highly skilled and experienced Manager for our Computing Platforms Products. In this role, you will be responsible for developing the product strategy of our Computing Platform to meet customer needs. You will partner closely with Onyx's organizations, including AI/ML, a diversity of R&D teams utilizing data to accelerate drug discovery (genomics sciences, computational biology, imaging, computational chemistry, to name a few), along with the Onyx portfolio management and engineering function heads to deliver industry-leading solutions that power R&D workloads. You will drive the product roadmap, guide product development initiatives, and ensure the successful launch and adoption of our Compute platform including the migration of existing GSK applications to the platform. Together, you will facilitate joint planning and execution of the product roadmap, ensuring a balance between strategic development and customer-facing deliverables. You will also play a key role in devising, tracking, and publicizing metrics that measure the impact and performance of Onyx Compute Platform Products. You will be responsible for understanding the business areas using Onyx, Platform capabilities, translating customer needs into requirements aligned with standard frameworks such as ontologies and engineering pipelines, and ensure our R&D teams receive the solutions they need to succeed. In this role you will Product Strategy: Develop and execute a comprehensive product strategy for our AI/ML compute platform, aligning with the Onyx's overall goals and objectives. Roadmap Development: Define and prioritize features, enhancements, and functionalities for the platform based on user analysis, customer feedback, and business requirements. Cross-functional Collaboration: Collaborate closely with engineering, AI/ML, and portfolio/program teams to ensure successful product development and deployment. Stakeholder Engagement: Collaborate with customers, partners, and internal stakeholders to understand their needs, gather feedback, and incorporate it into product planning and development processes. Product Launch: Plan and oversee product launches, ensuring effective communication, documentation, and training to drive product adoption and success. Performance Measurement: Define key product metrics, establish monitoring systems, and regularly evaluate and report on the performance and success of the compute platform. Product Ambassador: Serve as an ambassador of the compute platform, effectively communicating its value and benefits to GSK Research and Development leadership and identifying potential customers. Industry Expertise: Stay up to date with the latest advancements and trends in AI, machine learning, and compute platforms, applying industry knowledge to drive innovation and competitive advantage. Why you? Qualifications & Skills: We are looking for professionals with these required skills to achieve our goals: Significant technical product management experience Experience of cloud computing management for scientific computing, data science and/or artificial intelligence model training with a major cloud provider (AWS, Google Cloud, Azure etc) Strong relevant experience in Data Science, Scientific Computing, Machine Learning/AI, Computer Science, Platform Engineering, or related discipline. Excellent communication, collaboration, and stakeholder management skills. Strong leadership abilities and a self-driven, proactive approach. Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively. Preferred Qualifications & Skills: If you have the following characteristics, it would be a plus: Technical Knowledge: Experience with andstrong understanding of on-prem and cloud computing, and software development practices; familiarity with MLOps and distributed computing is highly desirable. Experience with containers and virtual machines including Kubernetes, Slurm or other orchestration tools. Knowledge of modern infrastructure including Infrastructure-as-code tools (e.g. Terraform, Ansible ) Familiar with software engineering ways of working and engagement model Strong proficiency in utilizing various product management tools, including Jira and Confluence. Proven track record of managing developer platforms, tools, and services. Strong proficiency in utilizing various product management tools, including Jira and Confluence. Prior product management experience of enterprise AI/ML platform is strongly preferred. Experience with bioinformatics/genomics database, biological datasets, Pharma R&D is a plus, but not required. Strategic Thinker: Proven track record in developing and executing product strategies that drive business growth and customer satisfaction. Stakeholder Skills: Demonstrated ability to keep cross-functional teams, set clear objectives, and foster a collaborative and innovative work environment. Can lead without authority. Customer Focus: A customer-centric mindset with a deep understanding of customer needs and the ability to translate them into effective product solutions. Analytical and Data-Driven: Strong analytical skills with the ability to gather and interpret data, perform market research, and make data-driven decisions. Excellent Communication: Exceptional written and verbal communication skills, with the ability to effectively present complex ideas and concepts to both technical and non-technical audiences. Adaptability: Thrives in a fast-paced, dynamic environment and can adapt quickly to changing priorities and business needs. Closing Date for Applications: Monday 8th April 2024 (COB) Please take a copy of the Job Description, as this will not be available post closure of the advert. When applying for this role, please use the 'cover letter' of the online application or your CV to describe how you meet the competencies for this role, as outlined in the job requirements above. The information that you have provided in your cover letter and CV will be used to assess your application. During the course of your application, you will be requested to complete voluntary information which will be used in monitoring the effectiveness of our equality and diversity policies. Your information will be treated as confidential and will not be used in any part of the selection process. If you require a reasonable adjustment to the application / selection process to enable you to demonstrate your ability to perform the job requirements, please contact . This will help us to understand any modifications we may need to make to support you throughout our selection process. Why Us? GSK is a global biopharma company with a special purpose - to unite science, technology and talent to get ahead of disease together - so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns - as an organization where people can thrive. Getting ahead means preventing disease as well as treating it, and we aim to positively impact the health of 2.5 billion people by the end of 2030. Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it's also about making GSK a place where people can thrive. We want GSK to be a workplace where everyone can feel a sense of belonging and thrive as set out in our Equal and Inclusive Treatment of Employees policy. We're committed to being more proactive at all levels so that our workforce reflects the communities we work and hire in, and our GSK leadership reflects our GSK workforce. As an Equal Opportunity Employer, we are open to all talent. In the US, we also adhere to Affirmative Action principles . click apply for full job details
Apr 29, 2024
Full time
Site Name: London The Stanley Building Posted Date: Mar At GSK, we want to supercharge our data capability to better understand our patients and accelerate our ability to discover vaccines and medicines. The Onyx Research Data Platform organization represents a major investment by GSK R&D and Digital & Tech, designed to deliver a step-change in our ability to leverage data, knowledge, and prediction to find new medicines. We are a full-stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data / metadata / knowledge platforms, and AI/ML and analysis platforms, all geared toward: Building a next-generation, metadata- and automation-driven data experience for GSK's scientists, engineers, and decision-makers, increasing productivity and reducing time spent on "data mechanics" Providing best-in-class AI/ML and data analysis environments to accelerate our predictive capabilities and attract top-tier talent Aggressively engineering our data at scale, as one unified asset, to unlock the value of our unique collection of data and predictions in real-time Onyx Product Management is at the heart of our mission, ensuring that everything from our infrastructure, to platforms, to end-user facing data assets and environments is designed to maximize our impact on R&D. The Product Management team partners with R&D stakeholders and Onyx leadership to develop a strategic roadmap for all customer-facing aspects of Onyx, including data assets, ontology, Knowledge Graph / semantic search, data / computing / analysis platforms, and data-powered applications. We are seeking a highly skilled and experienced Manager for our Computing Platforms Products. In this role, you will be responsible for developing the product strategy of our Computing Platform to meet customer needs. You will partner closely with Onyx's organizations, including AI/ML, a diversity of R&D teams utilizing data to accelerate drug discovery (genomics sciences, computational biology, imaging, computational chemistry, to name a few), along with the Onyx portfolio management and engineering function heads to deliver industry-leading solutions that power R&D workloads. You will drive the product roadmap, guide product development initiatives, and ensure the successful launch and adoption of our Compute platform including the migration of existing GSK applications to the platform. Together, you will facilitate joint planning and execution of the product roadmap, ensuring a balance between strategic development and customer-facing deliverables. You will also play a key role in devising, tracking, and publicizing metrics that measure the impact and performance of Onyx Compute Platform Products. You will be responsible for understanding the business areas using Onyx, Platform capabilities, translating customer needs into requirements aligned with standard frameworks such as ontologies and engineering pipelines, and ensure our R&D teams receive the solutions they need to succeed. In this role you will Product Strategy: Develop and execute a comprehensive product strategy for our AI/ML compute platform, aligning with the Onyx's overall goals and objectives. Roadmap Development: Define and prioritize features, enhancements, and functionalities for the platform based on user analysis, customer feedback, and business requirements. Cross-functional Collaboration: Collaborate closely with engineering, AI/ML, and portfolio/program teams to ensure successful product development and deployment. Stakeholder Engagement: Collaborate with customers, partners, and internal stakeholders to understand their needs, gather feedback, and incorporate it into product planning and development processes. Product Launch: Plan and oversee product launches, ensuring effective communication, documentation, and training to drive product adoption and success. Performance Measurement: Define key product metrics, establish monitoring systems, and regularly evaluate and report on the performance and success of the compute platform. Product Ambassador: Serve as an ambassador of the compute platform, effectively communicating its value and benefits to GSK Research and Development leadership and identifying potential customers. Industry Expertise: Stay up to date with the latest advancements and trends in AI, machine learning, and compute platforms, applying industry knowledge to drive innovation and competitive advantage. Why you? Qualifications & Skills: We are looking for professionals with these required skills to achieve our goals: Significant technical product management experience Experience of cloud computing management for scientific computing, data science and/or artificial intelligence model training with a major cloud provider (AWS, Google Cloud, Azure etc) Strong relevant experience in Data Science, Scientific Computing, Machine Learning/AI, Computer Science, Platform Engineering, or related discipline. Excellent communication, collaboration, and stakeholder management skills. Strong leadership abilities and a self-driven, proactive approach. Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively. Preferred Qualifications & Skills: If you have the following characteristics, it would be a plus: Technical Knowledge: Experience with andstrong understanding of on-prem and cloud computing, and software development practices; familiarity with MLOps and distributed computing is highly desirable. Experience with containers and virtual machines including Kubernetes, Slurm or other orchestration tools. Knowledge of modern infrastructure including Infrastructure-as-code tools (e.g. Terraform, Ansible ) Familiar with software engineering ways of working and engagement model Strong proficiency in utilizing various product management tools, including Jira and Confluence. Proven track record of managing developer platforms, tools, and services. Strong proficiency in utilizing various product management tools, including Jira and Confluence. Prior product management experience of enterprise AI/ML platform is strongly preferred. Experience with bioinformatics/genomics database, biological datasets, Pharma R&D is a plus, but not required. Strategic Thinker: Proven track record in developing and executing product strategies that drive business growth and customer satisfaction. Stakeholder Skills: Demonstrated ability to keep cross-functional teams, set clear objectives, and foster a collaborative and innovative work environment. Can lead without authority. Customer Focus: A customer-centric mindset with a deep understanding of customer needs and the ability to translate them into effective product solutions. Analytical and Data-Driven: Strong analytical skills with the ability to gather and interpret data, perform market research, and make data-driven decisions. Excellent Communication: Exceptional written and verbal communication skills, with the ability to effectively present complex ideas and concepts to both technical and non-technical audiences. Adaptability: Thrives in a fast-paced, dynamic environment and can adapt quickly to changing priorities and business needs. Closing Date for Applications: Monday 8th April 2024 (COB) Please take a copy of the Job Description, as this will not be available post closure of the advert. When applying for this role, please use the 'cover letter' of the online application or your CV to describe how you meet the competencies for this role, as outlined in the job requirements above. The information that you have provided in your cover letter and CV will be used to assess your application. During the course of your application, you will be requested to complete voluntary information which will be used in monitoring the effectiveness of our equality and diversity policies. Your information will be treated as confidential and will not be used in any part of the selection process. If you require a reasonable adjustment to the application / selection process to enable you to demonstrate your ability to perform the job requirements, please contact . This will help us to understand any modifications we may need to make to support you throughout our selection process. Why Us? GSK is a global biopharma company with a special purpose - to unite science, technology and talent to get ahead of disease together - so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns - as an organization where people can thrive. Getting ahead means preventing disease as well as treating it, and we aim to positively impact the health of 2.5 billion people by the end of 2030. Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it's also about making GSK a place where people can thrive. We want GSK to be a workplace where everyone can feel a sense of belonging and thrive as set out in our Equal and Inclusive Treatment of Employees policy. We're committed to being more proactive at all levels so that our workforce reflects the communities we work and hire in, and our GSK leadership reflects our GSK workforce. As an Equal Opportunity Employer, we are open to all talent. In the US, we also adhere to Affirmative Action principles . click apply for full job details
Role: Senior Analyst Smart Grids Location: Gloucestershire (flexible working available) Salary: £60,000 - £75,000 + Pension The company My client is one of the most recognised developers of renewable energy & storage projects within the UK, having developed over 2GW of power within the Solar PV and Onshore wind markets alone. Their growth plan is aligned to the development of future technologies to support the UK s target of reducing greenhouse gas emissions by 2023. About The Role Reporting to the Technical Delivery Manager, this role will play a lead part in helping maximise the profitability of Smart Grid (SG) managed assets, through oversight and development of the algorithms deployed within our automated trading platform. This in house developed platform (aka Virtual Power Plant or VPP) controls action on those assets, according to their individual flexibility potential and the revenue opportunities presented across multiple markets for flexibility and trading. The role will necessitate a thorough understanding of the dynamics of both short-term energy trading markets and alternative revenue streams available through grid services, Frequency Response, or Balancing Reserve. Hence recognising how and where these streams can be combined to target an optimal portfolio of trades that is tailored to each of the SG managed assets and implementing pricing and auction bidding strategies in order to successfully acquire the desired target portfolio at minimum cost. Working alongside the senior data scientist and other team members, the post holder will need to be sufficiently confident to direct material improvements to the environment as well as providing input into the platform future development especially with regards to managing evolving profitability trends and the potential from future trading market growth. The Smart Grids Team are responsible for the development of an asset flexibility platform, whether that is the optimisation of energy storage revenues, aligning Power Purchase Agreements for flexible renewable generation or load shifting for our business and domestic customers so as to avoid costs and maybe help our trading portfolio of renewable assets at the same time. Core Responsibilities Senior role in helping develop a best in class optimisation model for controllable flexible assets (Batteries, Solar, Wind, against available income streams. Work with Data Analysis team on developing state of the art auction theory to bid assets into the day ahead various markets, mindful of stacking constraints caused by mutually exclusive revenue streams. About You Have an innate curiosity, a tendency to be discerning and a natural interest in the space. Are comfortable communicating (verbal and written) to different audiences (e.g. technical and non-technical) Ability to manage and understand trading positions. Ability to provide actionable insight from complex data. Strong analytical, theoretical and numeric skills Experience in the Energy Industry. Python user or similar Degree in a numerate subject, or a proven track record of quantitative and qualitative analytical abilities, ideally in a commercial setting Desirable additional skills and experience Experience programming and developing optimisation techniques. Experience of modelling distributed energy resources such as energy storage Experience using SQL is advantageous Experience using AWS or other cloud services Strong initiative and the ability to take the lead on projects. Experience using REST APIs to read and post data. Ability to mentor/coach more junior team members
Apr 29, 2024
Full time
Role: Senior Analyst Smart Grids Location: Gloucestershire (flexible working available) Salary: £60,000 - £75,000 + Pension The company My client is one of the most recognised developers of renewable energy & storage projects within the UK, having developed over 2GW of power within the Solar PV and Onshore wind markets alone. Their growth plan is aligned to the development of future technologies to support the UK s target of reducing greenhouse gas emissions by 2023. About The Role Reporting to the Technical Delivery Manager, this role will play a lead part in helping maximise the profitability of Smart Grid (SG) managed assets, through oversight and development of the algorithms deployed within our automated trading platform. This in house developed platform (aka Virtual Power Plant or VPP) controls action on those assets, according to their individual flexibility potential and the revenue opportunities presented across multiple markets for flexibility and trading. The role will necessitate a thorough understanding of the dynamics of both short-term energy trading markets and alternative revenue streams available through grid services, Frequency Response, or Balancing Reserve. Hence recognising how and where these streams can be combined to target an optimal portfolio of trades that is tailored to each of the SG managed assets and implementing pricing and auction bidding strategies in order to successfully acquire the desired target portfolio at minimum cost. Working alongside the senior data scientist and other team members, the post holder will need to be sufficiently confident to direct material improvements to the environment as well as providing input into the platform future development especially with regards to managing evolving profitability trends and the potential from future trading market growth. The Smart Grids Team are responsible for the development of an asset flexibility platform, whether that is the optimisation of energy storage revenues, aligning Power Purchase Agreements for flexible renewable generation or load shifting for our business and domestic customers so as to avoid costs and maybe help our trading portfolio of renewable assets at the same time. Core Responsibilities Senior role in helping develop a best in class optimisation model for controllable flexible assets (Batteries, Solar, Wind, against available income streams. Work with Data Analysis team on developing state of the art auction theory to bid assets into the day ahead various markets, mindful of stacking constraints caused by mutually exclusive revenue streams. About You Have an innate curiosity, a tendency to be discerning and a natural interest in the space. Are comfortable communicating (verbal and written) to different audiences (e.g. technical and non-technical) Ability to manage and understand trading positions. Ability to provide actionable insight from complex data. Strong analytical, theoretical and numeric skills Experience in the Energy Industry. Python user or similar Degree in a numerate subject, or a proven track record of quantitative and qualitative analytical abilities, ideally in a commercial setting Desirable additional skills and experience Experience programming and developing optimisation techniques. Experience of modelling distributed energy resources such as energy storage Experience using SQL is advantageous Experience using AWS or other cloud services Strong initiative and the ability to take the lead on projects. Experience using REST APIs to read and post data. Ability to mentor/coach more junior team members
Job ID: Amazon Development Centre (London) Limited We're working to improve shopping on Amazon using the conversational capabilities of large language models, and are searching for pioneers who are passionate about technology, innovation, and customer experience, and are ready to make a lasting impact on the industry. You'll be working with talented scientists, engineers, product managers, language experts and technical program managers (TPM) to innovate on behalf of our customers. If you're fired up about being part of a dynamic, driven team, then this is your moment to join us on this exciting journey! As a Senior Product Manager - Technical, you own a high-visibility, novel space within Amazon to enhance how conversational shopping experiences help customers complete their shopping journey. You will define the strategy and build net new experiences in collaboration with different orgs across Amazon. After defining the strategy, you will work with dedicated engineering and science teams and UX designers to bring your strategy to life. You will manage the end to end product lifecycle from conception, to CX definition, delivery, and optimization. As the right candidate, you excel at handling ambiguity, bring strong bias for action, the ability use data to inform strategy and create new solutions that deliver results. Being able to earn trust of others and develop strong partnerships with teams from multiple orgs is a must. You can crisply convey your idea in written narratives. You are a proven big thinker and collaborator who flourishes in an agile organization. You are driven to launch and take deep satisfaction in seeing your products ship, scale, and make a measurable impact on the people who use them. You have a strong track-record working with engineers, and you routinely earn the respect of your technical peers through your ability to grasp technical challenges and trade-offs. Key job responsibilities Define the product vision Own the product roadmap Work closely with customer research, UX, marketing, legal, international partners, and your dedicated engineering team to deliver features in your space. Define and own business and feature metrics for customer engagement and operational reliability We are open to hiring candidates to work out of one of the following locations: London, GBR BASIC QUALIFICATIONS - Experience bridging technical and business teams to collect and refine requirements, prioritize incoming work requests, and ensure all committed work is delivered on time - Bachelor's degree - Experience in technical product management, program management or engineering PREFERRED QUALIFICATIONS - Master's degree in a quantitative/technical field such as computer science, engineering, statistics Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice () to know more about how we collect, use and transfer the personal data of our candidates. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need an adjustment during the application and hiring process, including support for the interview or onboarding process, please contact the Applicant-Candidate Accommodation Team (ACAT), Monday through Friday from 7:00 am GMT - 4:00 pm GMT. If calling directly from the United Kingdom, please dial (tel:). If calling from Ireland, please dial (tel:). Posted: April 24, 2024 (Updated about 14 hours ago) Posted: April 15, 2024 (Updated 2 days ago) Posted: April 18, 2024 (Updated 3 days ago) Posted: April 11, 2024 (Updated 3 days ago) Posted: March 28, 2024 (Updated 3 days ago) Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Apr 29, 2024
Full time
Job ID: Amazon Development Centre (London) Limited We're working to improve shopping on Amazon using the conversational capabilities of large language models, and are searching for pioneers who are passionate about technology, innovation, and customer experience, and are ready to make a lasting impact on the industry. You'll be working with talented scientists, engineers, product managers, language experts and technical program managers (TPM) to innovate on behalf of our customers. If you're fired up about being part of a dynamic, driven team, then this is your moment to join us on this exciting journey! As a Senior Product Manager - Technical, you own a high-visibility, novel space within Amazon to enhance how conversational shopping experiences help customers complete their shopping journey. You will define the strategy and build net new experiences in collaboration with different orgs across Amazon. After defining the strategy, you will work with dedicated engineering and science teams and UX designers to bring your strategy to life. You will manage the end to end product lifecycle from conception, to CX definition, delivery, and optimization. As the right candidate, you excel at handling ambiguity, bring strong bias for action, the ability use data to inform strategy and create new solutions that deliver results. Being able to earn trust of others and develop strong partnerships with teams from multiple orgs is a must. You can crisply convey your idea in written narratives. You are a proven big thinker and collaborator who flourishes in an agile organization. You are driven to launch and take deep satisfaction in seeing your products ship, scale, and make a measurable impact on the people who use them. You have a strong track-record working with engineers, and you routinely earn the respect of your technical peers through your ability to grasp technical challenges and trade-offs. Key job responsibilities Define the product vision Own the product roadmap Work closely with customer research, UX, marketing, legal, international partners, and your dedicated engineering team to deliver features in your space. Define and own business and feature metrics for customer engagement and operational reliability We are open to hiring candidates to work out of one of the following locations: London, GBR BASIC QUALIFICATIONS - Experience bridging technical and business teams to collect and refine requirements, prioritize incoming work requests, and ensure all committed work is delivered on time - Bachelor's degree - Experience in technical product management, program management or engineering PREFERRED QUALIFICATIONS - Master's degree in a quantitative/technical field such as computer science, engineering, statistics Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice () to know more about how we collect, use and transfer the personal data of our candidates. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need an adjustment during the application and hiring process, including support for the interview or onboarding process, please contact the Applicant-Candidate Accommodation Team (ACAT), Monday through Friday from 7:00 am GMT - 4:00 pm GMT. If calling directly from the United Kingdom, please dial (tel:). If calling from Ireland, please dial (tel:). Posted: April 24, 2024 (Updated about 14 hours ago) Posted: April 15, 2024 (Updated 2 days ago) Posted: April 18, 2024 (Updated 3 days ago) Posted: April 11, 2024 (Updated 3 days ago) Posted: March 28, 2024 (Updated 3 days ago) Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Consulting Director: Farming, food and environment policy evaluation page is loaded Consulting Director: Farming, food and environment policy evaluation Apply locations London (GB80) Plymouth (GB79) Leeds - Carlton Mills (GB77) Birmingham (GB56) time type Full time posted on Posted Yesterday job requisition id R ICF is looking for an experienced evaluator, policy analyst and service leader with expertise in policies for farming, food and the environment, to support the delivery and growth of our work in this area in the UK. Recent contract awards have confirmed our status as the principal provider of evaluation support to Defra, Natural England, the Environment Agency, Marine Management Organisation and the rest of the Defra family. Our work covers issues at the top of today's policy agenda, including: Rural economy and agriculture Sustainable food production and the agri-food chain Restoring biodiversity and natural capital Blue economy, marine planning and conservation Sustainable fisheries Addressing climate change and net zero Pollution and circular economy Why ICF This role offers you the chance to develop your career within a global business, in a work environment that is collegiate and supportive. ICF are thought leaders across a wide range of disciplines, with an unrivalled network of experts. You'll join a team that's focused only on delivering high quality evidence and evaluation. We're always ready to embrace new ideas and approaches, and never afraid to ask if there is a better way to do something. This is work with impact. Ongoing growth in demand for our services in this area means we are creating a new role at Consulting Director with a special focus on farming, food and environmental policies. The successful candidate will direct projects in our portfolio and work as part of the management team for this important area of our business. The role is situated in an ICF line of business that is focused on delivery of policy research and evaluation to the UK Government and EU institutions, and which provides analysis and advice on a wide range of policy issues, from transport to justice, food to skills. The job role This is an exciting opportunity to work in a key policy area, alongside a team of highly motivated and skilled individuals, with opportunities for learning and growth. Your main responsibilities will be to: Work with senior managers to shape and deliver strategic growth for the team Manage large framework contracts, working with clients and research partners Lead and support technical excellence and innovation in evaluation and research Contribute knowledge and expertise in the land, food and agriculture policy area Direct projects to support project managers in delivering projects to time and budget Manage and mentor staff and project teams, as appropriate Lead business development opportunities and build networks and partnerships Profile and promote ICF evaluation and research expertise and work You will contribute to a diverse range of large and complex consulting projects, directing and managing teams. ICF will provide you with the opportunity to develop your knowledge and skills further through excellent training and development support, a structured career pathway, our mentoring programme, communities of practice and line management arrangements. Who we are looking for We are looking for a strategic thinker and leader, and a strong team player, with a track record of excellence in consulting. You will have: A track record in delivering business growth and capacity building Proven experience of working with government at senior levels Expertise in policy evaluation, research and analysis Demonstrable knowledge and interest in land management, agriculture, food chain and environmental policies Experience of managing projects, budgets, teams and client interactions Excellent writing and oral communication skills Highly-developed interpersonal skills and self-motivation. About us: Working at ICF means applying a passion for meaningful work with intellectual rigor to help solve the leading issues of our day. Smart, compassionate, innovative, committed, ICF employees tackle unprecedented challenges to benefit people, businesses, and governments around the globe. We believe in collaboration, mutual respect, open communication, and opportunity for growth. We can only solve the world's toughest challenges by building an inclusive workplace that allows everyone to thrive. We are committed to creating a culture where we embrace our differences in ideas and identities. Together, our employees are empowered to share their expertise and collaborate with others to achieve personal and professional goals. Learn more about what we do and our commitment to inclusion . The benefits of joining ICF: Our people at ICF are our most important asset, so we invest in them from the moment they arrive. When you join our team, you'll have access to a vast array of benefits to help you live your life well. We offer a hybrid working policy, which will provide you with the flexibility to collaborate in the office, as well as in the comfort of your own home, ensuring you are able to successfully deliver the requirements of your role. To support you, our employee wellbeing hub is designed to provide highly personalised support across a comprehensive range of wellbeing issues, such as mind, body, finances, community, career programs and HR support. We enjoy celebrating success, which is why we have a competitive recognition program called 'You Matter', which awards points as a 'thank you' for your work achievements. These can be spent on a large variety of high-quality items, as well as online or high-street vouchers, all with zero tax payable by the employee. ICF also offers a range of competitive benefits, which include: Single Private Medical Insurance cover with no restrictions on existing conditions. Dental insurance and an online GP service. 25 days annual leave, plus UK bank holidays (annual leave increases with years of service). Pension scheme with 5% of salary employer contribution Life assurance paying 4x annual salary and Group Income Protection paying 66% of salary for up to 5 years if you are off work on long-term sick. Enhanced parental leave policies, enhanced maternity, paternity, adoption, and shared parental pay. London (GB80) Similar Jobs (2) Consulting Director - Environment, Climate Policy Evaluation locations London (GB80) time type Full time posted on Posted Yesterday Principal Environmental Data Specialist locations 4 Locations time type Full time posted on Posted 2 Days Ago ICF is a global consulting and technology services company with approximately 9,000 employees, but we are not your typical consultants. At ICF, business analysts and policy specialists work together with digital strategists, data scientists and creatives. We combine unmatched industry expertise with cutting-edge engagement capabilities to help organizations solve their most complex challenges. Since 1969, public and private sector clients have worked with ICF to navigate change and shape the future. Learn more at .
Apr 29, 2024
Full time
Consulting Director: Farming, food and environment policy evaluation page is loaded Consulting Director: Farming, food and environment policy evaluation Apply locations London (GB80) Plymouth (GB79) Leeds - Carlton Mills (GB77) Birmingham (GB56) time type Full time posted on Posted Yesterday job requisition id R ICF is looking for an experienced evaluator, policy analyst and service leader with expertise in policies for farming, food and the environment, to support the delivery and growth of our work in this area in the UK. Recent contract awards have confirmed our status as the principal provider of evaluation support to Defra, Natural England, the Environment Agency, Marine Management Organisation and the rest of the Defra family. Our work covers issues at the top of today's policy agenda, including: Rural economy and agriculture Sustainable food production and the agri-food chain Restoring biodiversity and natural capital Blue economy, marine planning and conservation Sustainable fisheries Addressing climate change and net zero Pollution and circular economy Why ICF This role offers you the chance to develop your career within a global business, in a work environment that is collegiate and supportive. ICF are thought leaders across a wide range of disciplines, with an unrivalled network of experts. You'll join a team that's focused only on delivering high quality evidence and evaluation. We're always ready to embrace new ideas and approaches, and never afraid to ask if there is a better way to do something. This is work with impact. Ongoing growth in demand for our services in this area means we are creating a new role at Consulting Director with a special focus on farming, food and environmental policies. The successful candidate will direct projects in our portfolio and work as part of the management team for this important area of our business. The role is situated in an ICF line of business that is focused on delivery of policy research and evaluation to the UK Government and EU institutions, and which provides analysis and advice on a wide range of policy issues, from transport to justice, food to skills. The job role This is an exciting opportunity to work in a key policy area, alongside a team of highly motivated and skilled individuals, with opportunities for learning and growth. Your main responsibilities will be to: Work with senior managers to shape and deliver strategic growth for the team Manage large framework contracts, working with clients and research partners Lead and support technical excellence and innovation in evaluation and research Contribute knowledge and expertise in the land, food and agriculture policy area Direct projects to support project managers in delivering projects to time and budget Manage and mentor staff and project teams, as appropriate Lead business development opportunities and build networks and partnerships Profile and promote ICF evaluation and research expertise and work You will contribute to a diverse range of large and complex consulting projects, directing and managing teams. ICF will provide you with the opportunity to develop your knowledge and skills further through excellent training and development support, a structured career pathway, our mentoring programme, communities of practice and line management arrangements. Who we are looking for We are looking for a strategic thinker and leader, and a strong team player, with a track record of excellence in consulting. You will have: A track record in delivering business growth and capacity building Proven experience of working with government at senior levels Expertise in policy evaluation, research and analysis Demonstrable knowledge and interest in land management, agriculture, food chain and environmental policies Experience of managing projects, budgets, teams and client interactions Excellent writing and oral communication skills Highly-developed interpersonal skills and self-motivation. About us: Working at ICF means applying a passion for meaningful work with intellectual rigor to help solve the leading issues of our day. Smart, compassionate, innovative, committed, ICF employees tackle unprecedented challenges to benefit people, businesses, and governments around the globe. We believe in collaboration, mutual respect, open communication, and opportunity for growth. We can only solve the world's toughest challenges by building an inclusive workplace that allows everyone to thrive. We are committed to creating a culture where we embrace our differences in ideas and identities. Together, our employees are empowered to share their expertise and collaborate with others to achieve personal and professional goals. Learn more about what we do and our commitment to inclusion . The benefits of joining ICF: Our people at ICF are our most important asset, so we invest in them from the moment they arrive. When you join our team, you'll have access to a vast array of benefits to help you live your life well. We offer a hybrid working policy, which will provide you with the flexibility to collaborate in the office, as well as in the comfort of your own home, ensuring you are able to successfully deliver the requirements of your role. To support you, our employee wellbeing hub is designed to provide highly personalised support across a comprehensive range of wellbeing issues, such as mind, body, finances, community, career programs and HR support. We enjoy celebrating success, which is why we have a competitive recognition program called 'You Matter', which awards points as a 'thank you' for your work achievements. These can be spent on a large variety of high-quality items, as well as online or high-street vouchers, all with zero tax payable by the employee. ICF also offers a range of competitive benefits, which include: Single Private Medical Insurance cover with no restrictions on existing conditions. Dental insurance and an online GP service. 25 days annual leave, plus UK bank holidays (annual leave increases with years of service). Pension scheme with 5% of salary employer contribution Life assurance paying 4x annual salary and Group Income Protection paying 66% of salary for up to 5 years if you are off work on long-term sick. Enhanced parental leave policies, enhanced maternity, paternity, adoption, and shared parental pay. London (GB80) Similar Jobs (2) Consulting Director - Environment, Climate Policy Evaluation locations London (GB80) time type Full time posted on Posted Yesterday Principal Environmental Data Specialist locations 4 Locations time type Full time posted on Posted 2 Days Ago ICF is a global consulting and technology services company with approximately 9,000 employees, but we are not your typical consultants. At ICF, business analysts and policy specialists work together with digital strategists, data scientists and creatives. We combine unmatched industry expertise with cutting-edge engagement capabilities to help organizations solve their most complex challenges. Since 1969, public and private sector clients have worked with ICF to navigate change and shape the future. Learn more at .
Join us on an extraordinary journey as we continue our remarkable growth. We're seeking a Lead Data Scientist to provide leadership within our Data department. This pivotal role involves guiding our Data Scientists and enhancing our data science capabilities. Lead Data Scientist Location: Tyne & Wear Office requirements: Hybrid / 2-3 days per week Salary: £85,000 - £100,000 Day to Day of the role: Lead and nurture a team of data scientists, fostering a culture of collaboration and innovation. Oversee the integration of data science projects into business processes to improve decision-making and operational efficiency. Engage with senior stakeholders to understand their needs and deliver impactful data-driven insights. Collaborate with other teams to make data science capabilities accessible across the organisation. Work closely with the data engineering team to ensure data requirements for projects are met. Required Skills & Qualifications: Proven experience in leading a data science team and managing complex projects. Expertise in machine learning, statistics, data management, and relevant technologies (e.g., Python, R, SQL, AWS SageMaker, Apache Airflow, Dbt, AWS Kinesis). Strong communication skills with the ability to explain complex data concepts to a non-technical audience. Knowledge of industry standards like CRISP-DM. Experience in iGaming or online betting is a plus but not essential. Benefits: Competitive salary with quarterly bonus. Company merchandise and free meals in the office. Private healthcare and hybrid working options. A culture that supports inclusivity, flexibility, personal development, and mental wellbeing. To apply for the Lead Data Scientist position, please submit your CV and cover letter detailing your relevant experience.
Apr 29, 2024
Full time
Join us on an extraordinary journey as we continue our remarkable growth. We're seeking a Lead Data Scientist to provide leadership within our Data department. This pivotal role involves guiding our Data Scientists and enhancing our data science capabilities. Lead Data Scientist Location: Tyne & Wear Office requirements: Hybrid / 2-3 days per week Salary: £85,000 - £100,000 Day to Day of the role: Lead and nurture a team of data scientists, fostering a culture of collaboration and innovation. Oversee the integration of data science projects into business processes to improve decision-making and operational efficiency. Engage with senior stakeholders to understand their needs and deliver impactful data-driven insights. Collaborate with other teams to make data science capabilities accessible across the organisation. Work closely with the data engineering team to ensure data requirements for projects are met. Required Skills & Qualifications: Proven experience in leading a data science team and managing complex projects. Expertise in machine learning, statistics, data management, and relevant technologies (e.g., Python, R, SQL, AWS SageMaker, Apache Airflow, Dbt, AWS Kinesis). Strong communication skills with the ability to explain complex data concepts to a non-technical audience. Knowledge of industry standards like CRISP-DM. Experience in iGaming or online betting is a plus but not essential. Benefits: Competitive salary with quarterly bonus. Company merchandise and free meals in the office. Private healthcare and hybrid working options. A culture that supports inclusivity, flexibility, personal development, and mental wellbeing. To apply for the Lead Data Scientist position, please submit your CV and cover letter detailing your relevant experience.
Role type:Full Time Location: Remote within the UK Preferred start date: ASAP LIFE AT SATALIA Led by our founder (who is also WPP's Chief AI Officer), Satalia's ambition is to become a decentralised organisation of the future. Today this involves developing tools and processes to liberate and automate manual repetitive tasks, with a focus on freedom, transparency and trust. At the core of our thinking is an approach to wellbeing and inclusivity. We unpack human behaviour and unpick prejudice to ensure a safe and inviting environment. We offer true flexible working and allow our employees to find the working practice that makes them most productive. At Satalia, your opinion matters and your achievements are celebrated. THE ROLE We are investing massively in developing next-generation, generative AI solutions and serving these innovations to our clients and WPP agency partners. In this role, you will be primarily responsible for managing the entire product life cycle for a cutting-edge generative AI product in the advertising and media space. You will be joining a product team in developing these zero to one innovations over a multi-year roadmap. You will be working both with the latest technologies across our technology stack and have early access to world-leading partner technology. As an AI product manager, you will bring a product mindset to the team, and foster a product culture in a complex consulting environment. You will be responsible for working with the technical teams to effectively design and develop solutions that create the value our clients desire. The ideal candidate will have some experience in data or AI products, and the advertising and media space. Your product roadmap and feature prioritisation will need to balance long term strategy, with the short-term demand generated by our consulting clients - with whom you will also be involved. It is a great time to be joining as the industry transforms itself in what we believe is a generational moment for technology and AI. YOUR RESPONSIBILITIES Design the start-to-end experience of an early stage, B2B AI product Manage the entire product life cycle Own roadmap plans and prioritise features to support ongoing delivery in line with client expectations Work closely with development/data science teams to ensure on time delivery of product releases and oversee the product backlog Conduct requirements gathering, reviews, and design review meetings with stakeholders, domain experts and technical architects Analyse market trends and closely monitor product competitors Perform business and technology analyses, based on product and user needs Act as the subject matter expert of the product area and market internally (engineering, sales, pre-sales, and marketing) as well as externally (business partners, agencies, customers) Research, gather, and define product's business requirements from discussions with users, clients, partners, sales and other sources for current and future product releases Cooperate with other teams on product integrations and understand how products can be made so they are are reusable for other clients, not as an off-the-shelf product but a customisable product Ensure value realisation of the product through defined and agreed measures Use Agile Product Management methodology to manage product backlog and deliveries Work with marketing, release management and education teams on product materials. e.g., demos, prototypes, white papers, customer presentations, training presentations, videos, webinars, solution brochures and guides Engage the team to ensure effective working practices, team cohesion and an environment that supports continual improvement and psychological safety Support retrospectives and promote a healthy culture of regular feedback MINIMUM QUALIFICATIONS / SKILLS 5+ years of relevant Product Management experience Experience of B2B product development An understanding of the software development lifecycle Experience in data or AI products Experience in the media and advertising space Experience working with data scientists Knowledge of methodologies such as user story mapping and user personas Demonstrable ability to determine value and prioritise Success defining and launching products Strong problem solving and analytical capabilities High motivation and passion to build a leading product Developing concepts into business requirements Ability to analyse the competitive landscape to appropriately define and position the product Ability to innovate, think out of the box to create more value in the product Experience of working directly with clients and business partners Excellent negotiation skills to resolve competing priorities WE OFFER Remote working - within the UK Truly flexible working hours - school pick up, volunteering, gym; Benefits - Health insurance, Life assurance, Income protection, enhanced pension; Impactful projects - focus on bringing meaningful social and environmental change; People oriented culture - wellbeing is a priority, as is being a nice person; Truly flexible working hours - school pick up, volunteering, gym; Transparent and open culture - you will be heard Satalia is home to some of the brightest minds in AI and if you're looking to join a company who not only values autonomy and freedom, but embraces a culture of inclusion and warmth, we'd love to hear from you. We aim to respond to all applications within 2 weeks. If you have not heard from us within 2 weeks this means your application has been unsuccessful. By applying to Satalia you are expressly giving your consent for the collection and use of your information as described within our Satalia Recruitment Privacy Policy . Good luck!
Apr 28, 2024
Full time
Role type:Full Time Location: Remote within the UK Preferred start date: ASAP LIFE AT SATALIA Led by our founder (who is also WPP's Chief AI Officer), Satalia's ambition is to become a decentralised organisation of the future. Today this involves developing tools and processes to liberate and automate manual repetitive tasks, with a focus on freedom, transparency and trust. At the core of our thinking is an approach to wellbeing and inclusivity. We unpack human behaviour and unpick prejudice to ensure a safe and inviting environment. We offer true flexible working and allow our employees to find the working practice that makes them most productive. At Satalia, your opinion matters and your achievements are celebrated. THE ROLE We are investing massively in developing next-generation, generative AI solutions and serving these innovations to our clients and WPP agency partners. In this role, you will be primarily responsible for managing the entire product life cycle for a cutting-edge generative AI product in the advertising and media space. You will be joining a product team in developing these zero to one innovations over a multi-year roadmap. You will be working both with the latest technologies across our technology stack and have early access to world-leading partner technology. As an AI product manager, you will bring a product mindset to the team, and foster a product culture in a complex consulting environment. You will be responsible for working with the technical teams to effectively design and develop solutions that create the value our clients desire. The ideal candidate will have some experience in data or AI products, and the advertising and media space. Your product roadmap and feature prioritisation will need to balance long term strategy, with the short-term demand generated by our consulting clients - with whom you will also be involved. It is a great time to be joining as the industry transforms itself in what we believe is a generational moment for technology and AI. YOUR RESPONSIBILITIES Design the start-to-end experience of an early stage, B2B AI product Manage the entire product life cycle Own roadmap plans and prioritise features to support ongoing delivery in line with client expectations Work closely with development/data science teams to ensure on time delivery of product releases and oversee the product backlog Conduct requirements gathering, reviews, and design review meetings with stakeholders, domain experts and technical architects Analyse market trends and closely monitor product competitors Perform business and technology analyses, based on product and user needs Act as the subject matter expert of the product area and market internally (engineering, sales, pre-sales, and marketing) as well as externally (business partners, agencies, customers) Research, gather, and define product's business requirements from discussions with users, clients, partners, sales and other sources for current and future product releases Cooperate with other teams on product integrations and understand how products can be made so they are are reusable for other clients, not as an off-the-shelf product but a customisable product Ensure value realisation of the product through defined and agreed measures Use Agile Product Management methodology to manage product backlog and deliveries Work with marketing, release management and education teams on product materials. e.g., demos, prototypes, white papers, customer presentations, training presentations, videos, webinars, solution brochures and guides Engage the team to ensure effective working practices, team cohesion and an environment that supports continual improvement and psychological safety Support retrospectives and promote a healthy culture of regular feedback MINIMUM QUALIFICATIONS / SKILLS 5+ years of relevant Product Management experience Experience of B2B product development An understanding of the software development lifecycle Experience in data or AI products Experience in the media and advertising space Experience working with data scientists Knowledge of methodologies such as user story mapping and user personas Demonstrable ability to determine value and prioritise Success defining and launching products Strong problem solving and analytical capabilities High motivation and passion to build a leading product Developing concepts into business requirements Ability to analyse the competitive landscape to appropriately define and position the product Ability to innovate, think out of the box to create more value in the product Experience of working directly with clients and business partners Excellent negotiation skills to resolve competing priorities WE OFFER Remote working - within the UK Truly flexible working hours - school pick up, volunteering, gym; Benefits - Health insurance, Life assurance, Income protection, enhanced pension; Impactful projects - focus on bringing meaningful social and environmental change; People oriented culture - wellbeing is a priority, as is being a nice person; Truly flexible working hours - school pick up, volunteering, gym; Transparent and open culture - you will be heard Satalia is home to some of the brightest minds in AI and if you're looking to join a company who not only values autonomy and freedom, but embraces a culture of inclusion and warmth, we'd love to hear from you. We aim to respond to all applications within 2 weeks. If you have not heard from us within 2 weeks this means your application has been unsuccessful. By applying to Satalia you are expressly giving your consent for the collection and use of your information as described within our Satalia Recruitment Privacy Policy . Good luck!
Role type:Full Time Location: Remote within the UK Preferred start date: ASAP LIFE AT SATALIA Led by our founder (who is also WPP's Chief AI Officer), Satalia's ambition is to become a decentralised organisation of the future. Today this involves developing tools and processes to liberate and automate manual repetitive tasks, with a focus on freedom, transparency and trust. At the core of our thinking is an approach to wellbeing and inclusivity. We unpack human behaviour and unpick prejudice to ensure a safe and inviting environment. We offer true flexible working and allow our employees to find the working practice that makes them most productive. At Satalia, your opinion matters and your achievements are celebrated. THE ROLE We are investing massively in developing next-generation, generative AI solutions and serving these innovations to our clients and WPP agency partners. In this role, you will be primarily responsible for managing the entire product life cycle for a cutting-edge generative AI product in the advertising and media space. You will be joining a product team in developing these zero to one innovations over a multi-year roadmap. You will be working both with the latest technologies across our technology stack and have early access to world-leading partner technology. As an AI product manager, you will bring a product mindset to the team, and foster a product culture in a complex consulting environment. You will be responsible for working with the technical teams to effectively design and develop solutions that create the value our clients desire. The ideal candidate will have some experience in data or AI products, and the advertising and media space. Your product roadmap and feature prioritisation will need to balance long term strategy, with the short-term demand generated by our consulting clients - with whom you will also be involved. It is a great time to be joining as the industry transforms itself in what we believe is a generational moment for technology and AI. YOUR RESPONSIBILITIES Design the start-to-end experience of an early stage, B2B AI product Manage the entire product life cycle Own roadmap plans and prioritise features to support ongoing delivery in line with client expectations Work closely with development/data science teams to ensure on time delivery of product releases and oversee the product backlog Conduct requirements gathering, reviews, and design review meetings with stakeholders, domain experts and technical architects Analyse market trends and closely monitor product competitors Perform business and technology analyses, based on product and user needs Act as the subject matter expert of the product area and market internally (engineering, sales, pre-sales, and marketing) as well as externally (business partners, agencies, customers) Research, gather, and define product's business requirements from discussions with users, clients, partners, sales and other sources for current and future product releases Cooperate with other teams on product integrations and understand how products can be made so they are are reusable for other clients, not as an off-the-shelf product but a customisable product Ensure value realisation of the product through defined and agreed measures Use Agile Product Management methodology to manage product backlog and deliveries Work with marketing, release management and education teams on product materials. e.g., demos, prototypes, white papers, customer presentations, training presentations, videos, webinars, solution brochures and guides Engage the team to ensure effective working practices, team cohesion and an environment that supports continual improvement and psychological safety Support retrospectives and promote a healthy culture of regular feedback MINIMUM QUALIFICATIONS / SKILLS 5+ years of relevant Product Management experience Experience of B2B product development An understanding of the software development lifecycle Experience in data or AI products Experience in the media and advertising space Experience working with data scientists Knowledge of methodologies such as user story mapping and user personas Demonstrable ability to determine value and prioritise Success defining and launching products Strong problem solving and analytical capabilities High motivation and passion to build a leading product Developing concepts into business requirements Ability to analyse the competitive landscape to appropriately define and position the product Ability to innovate, think out of the box to create more value in the product Experience of working directly with clients and business partners Excellent negotiation skills to resolve competing priorities WE OFFER Remote working - within the UK Truly flexible working hours - school pick up, volunteering, gym; Benefits - Health insurance, Life assurance, Income protection, enhanced pension; Impactful projects - focus on bringing meaningful social and environmental change; People oriented culture - wellbeing is a priority, as is being a nice person; Truly flexible working hours - school pick up, volunteering, gym; Transparent and open culture - you will be heard Satalia is home to some of the brightest minds in AI and if you're looking to join a company who not only values autonomy and freedom, but embraces a culture of inclusion and warmth, we'd love to hear from you. We aim to respond to all applications within 2 weeks. If you have not heard from us within 2 weeks this means your application has been unsuccessful. By applying to Satalia you are expressly giving your consent for the collection and use of your information as described within our Satalia Recruitment Privacy Policy . Good luck!
Apr 28, 2024
Full time
Role type:Full Time Location: Remote within the UK Preferred start date: ASAP LIFE AT SATALIA Led by our founder (who is also WPP's Chief AI Officer), Satalia's ambition is to become a decentralised organisation of the future. Today this involves developing tools and processes to liberate and automate manual repetitive tasks, with a focus on freedom, transparency and trust. At the core of our thinking is an approach to wellbeing and inclusivity. We unpack human behaviour and unpick prejudice to ensure a safe and inviting environment. We offer true flexible working and allow our employees to find the working practice that makes them most productive. At Satalia, your opinion matters and your achievements are celebrated. THE ROLE We are investing massively in developing next-generation, generative AI solutions and serving these innovations to our clients and WPP agency partners. In this role, you will be primarily responsible for managing the entire product life cycle for a cutting-edge generative AI product in the advertising and media space. You will be joining a product team in developing these zero to one innovations over a multi-year roadmap. You will be working both with the latest technologies across our technology stack and have early access to world-leading partner technology. As an AI product manager, you will bring a product mindset to the team, and foster a product culture in a complex consulting environment. You will be responsible for working with the technical teams to effectively design and develop solutions that create the value our clients desire. The ideal candidate will have some experience in data or AI products, and the advertising and media space. Your product roadmap and feature prioritisation will need to balance long term strategy, with the short-term demand generated by our consulting clients - with whom you will also be involved. It is a great time to be joining as the industry transforms itself in what we believe is a generational moment for technology and AI. YOUR RESPONSIBILITIES Design the start-to-end experience of an early stage, B2B AI product Manage the entire product life cycle Own roadmap plans and prioritise features to support ongoing delivery in line with client expectations Work closely with development/data science teams to ensure on time delivery of product releases and oversee the product backlog Conduct requirements gathering, reviews, and design review meetings with stakeholders, domain experts and technical architects Analyse market trends and closely monitor product competitors Perform business and technology analyses, based on product and user needs Act as the subject matter expert of the product area and market internally (engineering, sales, pre-sales, and marketing) as well as externally (business partners, agencies, customers) Research, gather, and define product's business requirements from discussions with users, clients, partners, sales and other sources for current and future product releases Cooperate with other teams on product integrations and understand how products can be made so they are are reusable for other clients, not as an off-the-shelf product but a customisable product Ensure value realisation of the product through defined and agreed measures Use Agile Product Management methodology to manage product backlog and deliveries Work with marketing, release management and education teams on product materials. e.g., demos, prototypes, white papers, customer presentations, training presentations, videos, webinars, solution brochures and guides Engage the team to ensure effective working practices, team cohesion and an environment that supports continual improvement and psychological safety Support retrospectives and promote a healthy culture of regular feedback MINIMUM QUALIFICATIONS / SKILLS 5+ years of relevant Product Management experience Experience of B2B product development An understanding of the software development lifecycle Experience in data or AI products Experience in the media and advertising space Experience working with data scientists Knowledge of methodologies such as user story mapping and user personas Demonstrable ability to determine value and prioritise Success defining and launching products Strong problem solving and analytical capabilities High motivation and passion to build a leading product Developing concepts into business requirements Ability to analyse the competitive landscape to appropriately define and position the product Ability to innovate, think out of the box to create more value in the product Experience of working directly with clients and business partners Excellent negotiation skills to resolve competing priorities WE OFFER Remote working - within the UK Truly flexible working hours - school pick up, volunteering, gym; Benefits - Health insurance, Life assurance, Income protection, enhanced pension; Impactful projects - focus on bringing meaningful social and environmental change; People oriented culture - wellbeing is a priority, as is being a nice person; Truly flexible working hours - school pick up, volunteering, gym; Transparent and open culture - you will be heard Satalia is home to some of the brightest minds in AI and if you're looking to join a company who not only values autonomy and freedom, but embraces a culture of inclusion and warmth, we'd love to hear from you. We aim to respond to all applications within 2 weeks. If you have not heard from us within 2 weeks this means your application has been unsuccessful. By applying to Satalia you are expressly giving your consent for the collection and use of your information as described within our Satalia Recruitment Privacy Policy . Good luck!
About Faculty Faculty transforms organisational performance through safe, impactful and human-led AI. We are Europe's leading applied AI company, and saw its potential a decade ago - long before the current hype cycle. We founded in 2014 with our Fellowship programme, training academics to become commercial data scientists. Today, we provide over 300 global customers with industry-leading software, and bespoke AI consultancy for retail, healthcare, energy, and governmental organisations, as well as our award winning Fellowship. Our expertise and safety credentials are such that OpenAI asked us to be their first technical partner, helping customers deploy cutting-edge generative AI safely. Our high-impact work has saved lives through forecasting NHS demand during covid, produced green energy by routing boats towards the wind, slashed marketing spend by predicting customer spending habits, and kept children safe online. AI is an epoch-defining technology. We want people to join us who can help our customers reap its enormous benefits safely. About the role Faculty's in-house legal team works to proactively address legal issues so that Faculty can drive positive impact in the world. In many cases, there will be no precedent. This is one of those rare in-house roles where your work will often be at the cutting edge. As Legal Counsel, you will be a key contributor to both the legal team and the company as a whole - working across every issue Faculty faces. You'll provide sage advice on a wide range of legal issues, with a centre of gravity around commercial & public sector contracts, IP & licensing and privacy. This position is ideal for an ambitious lawyer with experience in private practice at a leading law firm and looking for their first in-house role, or for someone seeking a new in-house role, having come from that background. As the third lawyer in the team, you will be reporting to the Senior Legal Counsel, and working closely with our General Counsel, Contracts & Compliance Manager, Legal & Compliance Associate, legal and regulatory consultants and external lawyers, as well as other Faculty staff, and technical and commercial partners. What you'll be doing Commercial Contracting: Drafting and negotiating various technology and services contracts, including enterprise and public sector agreements and procurement processes. IP: Act as subject matter expert in IP matters related to AI services, including assignments, licensing, SaaS, sub-contracting, joint ventures, and IP-related to the Frontier product Privacy: Tailor GDPR principles to the unique contexts of NHS, government, and enterprise, including drafting DPAs, DSAs, DPIAs, and provide regular GDPR training to staff. Public Sector Procurement: application to frameworks, supporting bids, contracting on government and other large scale, complex frameworks, including GCloud, and Digital Outcomes amongst many. Product: experience in SaaS products and related considerations including contracting, service level agreements and typical risks. Generative AI & LLMs: Act as subject matter expert in IP, privacy, and regulatory issues surrounding LLMs, noting that Faculty is an official partner of OpenAI. Governance & Security: Support the rollout of the company's Governance, Risk, Compliance & Ethics functions, ensuring compliance with customer security and governance requirements, and drafting internal policies. Supporting the evolution of the Ethics Panel, helping Faculty support the right customers and build the right services & products. Regulatory: Understand forthcoming AI and UK privacy regulations, clinical risk regulations, US privacy requirements, and HIPAA and advising on the best course of action in innovative areas where there are no template answers. AI Safety: have an interest in and ability to support the leadership in interpreting and articulating our response to the challenges of delivering safe, fair and ethical AI. Employment: Support the People team with UK & international employment issues, including contract updates and exit matters. Who we're looking for: Qualifications: We expect the successful candidate to have 2+ years PQE depending on appropriate skill and experience, and we are open to candidates with substantially more experience than that. Trained and qualified with a leading international law firm and worked in commercial technology and IP teams with exposure to privacy compliance. Strong background in commercial technology law, capable of providing counsel, negotiation, and drafting for complex contracts involving IP, privacy, government frameworks, product design and compliance, subcontracting & multi party agreements, compliance, and governance and able to adapt to provide support on employment, property, disputes, and risk management Core competencies: Technical excellence in commercial law, IP, and privacy, capable of adapting to a wide range of contract-related demands and legal issues. Experience of procurement law and interacting with the government is a plus. Highly organised, able to help streamline our systems and processes as we scale into a large international company. Experience with Ironclad, DocuSign, Asana and Google Workplace are pluses Self-driven, efficient, and proactive in addressing business needs requiring rapid and proactive support. Collaborative, personable and a real team player. We are a small legal team and we work closely with each other on a daily basis - we would like someone who is ready to invest in that culture and make an effort to be a great team player. We would also like someone who is able to integrate across the business and work closely with our commercial and technical delivery teams. Comfortable with data science and AI concepts and the services and products that we are delivering and that our customers require, to be able to enter into discussion and contract drafting that properly encapsulates our work. Additional skills (Beneficial): Litigation: Experience in dispute management. Corporate: Knowledge of employee equity schemes, company equity, fundraising, mergers and acquisitions, partnerships, and joint ventures. Ethics: Involvement in corporate ethics policies and processes, including customer selection and product design. International: Experience in establishing overseas entities and familiarity with US IP, licensing, and employment regulations. What we can offer you The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. This curiosity pushes us to seek truth and understanding in everything we do, to execute work in a nimble and pragmatic manner, to foster talent in one another and always to challenge assumptions. Faculty is the professional challenge of a lifetime. You'll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you'll learn something new from everyone you meet. You'll also have the opportunity to make your mark on a high-growth start-up now poised to expand internationally. Another unique aspect of this role is the exposure you will receive to a business offering both consultancy services and an AI product. From a legal perspective, this means your role will be especially diverse and no day will be the same. Fostering talent is one of our core values, it's built into our culture and what we offer. Faculty was founded by people who are passionate about continuous learning, and adding value to our people.
Apr 28, 2024
Full time
About Faculty Faculty transforms organisational performance through safe, impactful and human-led AI. We are Europe's leading applied AI company, and saw its potential a decade ago - long before the current hype cycle. We founded in 2014 with our Fellowship programme, training academics to become commercial data scientists. Today, we provide over 300 global customers with industry-leading software, and bespoke AI consultancy for retail, healthcare, energy, and governmental organisations, as well as our award winning Fellowship. Our expertise and safety credentials are such that OpenAI asked us to be their first technical partner, helping customers deploy cutting-edge generative AI safely. Our high-impact work has saved lives through forecasting NHS demand during covid, produced green energy by routing boats towards the wind, slashed marketing spend by predicting customer spending habits, and kept children safe online. AI is an epoch-defining technology. We want people to join us who can help our customers reap its enormous benefits safely. About the role Faculty's in-house legal team works to proactively address legal issues so that Faculty can drive positive impact in the world. In many cases, there will be no precedent. This is one of those rare in-house roles where your work will often be at the cutting edge. As Legal Counsel, you will be a key contributor to both the legal team and the company as a whole - working across every issue Faculty faces. You'll provide sage advice on a wide range of legal issues, with a centre of gravity around commercial & public sector contracts, IP & licensing and privacy. This position is ideal for an ambitious lawyer with experience in private practice at a leading law firm and looking for their first in-house role, or for someone seeking a new in-house role, having come from that background. As the third lawyer in the team, you will be reporting to the Senior Legal Counsel, and working closely with our General Counsel, Contracts & Compliance Manager, Legal & Compliance Associate, legal and regulatory consultants and external lawyers, as well as other Faculty staff, and technical and commercial partners. What you'll be doing Commercial Contracting: Drafting and negotiating various technology and services contracts, including enterprise and public sector agreements and procurement processes. IP: Act as subject matter expert in IP matters related to AI services, including assignments, licensing, SaaS, sub-contracting, joint ventures, and IP-related to the Frontier product Privacy: Tailor GDPR principles to the unique contexts of NHS, government, and enterprise, including drafting DPAs, DSAs, DPIAs, and provide regular GDPR training to staff. Public Sector Procurement: application to frameworks, supporting bids, contracting on government and other large scale, complex frameworks, including GCloud, and Digital Outcomes amongst many. Product: experience in SaaS products and related considerations including contracting, service level agreements and typical risks. Generative AI & LLMs: Act as subject matter expert in IP, privacy, and regulatory issues surrounding LLMs, noting that Faculty is an official partner of OpenAI. Governance & Security: Support the rollout of the company's Governance, Risk, Compliance & Ethics functions, ensuring compliance with customer security and governance requirements, and drafting internal policies. Supporting the evolution of the Ethics Panel, helping Faculty support the right customers and build the right services & products. Regulatory: Understand forthcoming AI and UK privacy regulations, clinical risk regulations, US privacy requirements, and HIPAA and advising on the best course of action in innovative areas where there are no template answers. AI Safety: have an interest in and ability to support the leadership in interpreting and articulating our response to the challenges of delivering safe, fair and ethical AI. Employment: Support the People team with UK & international employment issues, including contract updates and exit matters. Who we're looking for: Qualifications: We expect the successful candidate to have 2+ years PQE depending on appropriate skill and experience, and we are open to candidates with substantially more experience than that. Trained and qualified with a leading international law firm and worked in commercial technology and IP teams with exposure to privacy compliance. Strong background in commercial technology law, capable of providing counsel, negotiation, and drafting for complex contracts involving IP, privacy, government frameworks, product design and compliance, subcontracting & multi party agreements, compliance, and governance and able to adapt to provide support on employment, property, disputes, and risk management Core competencies: Technical excellence in commercial law, IP, and privacy, capable of adapting to a wide range of contract-related demands and legal issues. Experience of procurement law and interacting with the government is a plus. Highly organised, able to help streamline our systems and processes as we scale into a large international company. Experience with Ironclad, DocuSign, Asana and Google Workplace are pluses Self-driven, efficient, and proactive in addressing business needs requiring rapid and proactive support. Collaborative, personable and a real team player. We are a small legal team and we work closely with each other on a daily basis - we would like someone who is ready to invest in that culture and make an effort to be a great team player. We would also like someone who is able to integrate across the business and work closely with our commercial and technical delivery teams. Comfortable with data science and AI concepts and the services and products that we are delivering and that our customers require, to be able to enter into discussion and contract drafting that properly encapsulates our work. Additional skills (Beneficial): Litigation: Experience in dispute management. Corporate: Knowledge of employee equity schemes, company equity, fundraising, mergers and acquisitions, partnerships, and joint ventures. Ethics: Involvement in corporate ethics policies and processes, including customer selection and product design. International: Experience in establishing overseas entities and familiarity with US IP, licensing, and employment regulations. What we can offer you The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. This curiosity pushes us to seek truth and understanding in everything we do, to execute work in a nimble and pragmatic manner, to foster talent in one another and always to challenge assumptions. Faculty is the professional challenge of a lifetime. You'll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you'll learn something new from everyone you meet. You'll also have the opportunity to make your mark on a high-growth start-up now poised to expand internationally. Another unique aspect of this role is the exposure you will receive to a business offering both consultancy services and an AI product. From a legal perspective, this means your role will be especially diverse and no day will be the same. Fostering talent is one of our core values, it's built into our culture and what we offer. Faculty was founded by people who are passionate about continuous learning, and adding value to our people.
Senior Data Scientist, Decision Science and Technology (DST) Job ID: Amazon UK Services Ltd. - A10 Are you inspired by unique and challenging problems to solve? Do you to have a hyper focus on your customer(s) and like to devise innovative approaches that transform their daily experiences? Amazon is looking for a talented Senior Data Scientist to join our Decision Science and Technology team. Key job responsibilities As a Senior Data Scientist in DST, you are proficient in designing and developing advanced science-based solutions to solve diverse customer problems and support a better and safer workplace. The Senior Data Scientist will be working with data, text, images, and other types of data to solve real-world problems through state-of-the-art approaches. They will leverage data science techniques and work closely with Data Engineers and Program Managers to facilitate the integration of data and information from varied source systems, so as to curate, expand, and maintain comprehensive maintenance knowledge bases. They will be working closely with Reliability Maintenance Engineering customers and with other scientists on the team to design and research strategies to integrate domain-specific knowledge and data into existing models and solutions, to provide relevant insights to business stakeholders. They will collaborate with cross-functional teams to develop new approaches making a difference in the daily lives of our customers. They will assess the performance of such approaches and contribute to experimental solutions that efficiently root cause maintenance issues or failures. They will stay at the forefront of advancements in data science and knowledge engineering through proactive participation in researching science and artificial intelligence based solutions. About the team The Decision Science & Technology (DST) team works at improving the efficiency of Reliability & Maintenance Engineering (RME) activities, reduce costs, increase safety and promote sustainability while creating frictionless customer experiences. Our work is articulated around three main programs and their respective goals: SCIENCE: We develop data driven decision tools for improving reliability and effectiveness of RME activities. We rely on the use of state-of-the-art methods and tools in Operations Research and Machine Learning. SPARE PARTS: We ensure that RME has the right parts available for maintenance, at the right time, and in the right quantity. KNOWLEDGE EXPERIENCE & TECHNOLOGY: We develop solutions to proactively connect people to the knowledge they need to perform their work in a more effective and safe way. We are open to hiring candidates to work out of one of the following locations: London, GBR BASIC QUALIFICATIONS - Experience with data scripting languages (e.g., SQL, Python, R, or equivalent) or statistical/mathematical software (e.g., R, SAS, Matlab, or equivalent) - Experience working as a Data Scientist - Experience with knowledge engineering, and transforming data into meaningful information and knowledge - Focus in Natural Language processing (NLP), Machine Learning and Semantic Web/Ontology/knowledge graph PREFERRED QUALIFICATIONS - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience managing data pipelines - Experience as a leader and mentor on a data science team Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice () to know more about how we collect, use and transfer the personal data of our candidates. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need an adjustment during the application and hiring process, including support for the interview or onboarding process, please contact the Applicant-Candidate Accommodation Team (ACAT), Monday through Friday from 7:00 am GMT - 4:00 pm GMT. If calling directly from the United Kingdom, please dial (tel:). If calling from Ireland, please dial (tel:). Posted: December 5, 2023 (Updated about 1 month ago) Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Apr 27, 2024
Full time
Senior Data Scientist, Decision Science and Technology (DST) Job ID: Amazon UK Services Ltd. - A10 Are you inspired by unique and challenging problems to solve? Do you to have a hyper focus on your customer(s) and like to devise innovative approaches that transform their daily experiences? Amazon is looking for a talented Senior Data Scientist to join our Decision Science and Technology team. Key job responsibilities As a Senior Data Scientist in DST, you are proficient in designing and developing advanced science-based solutions to solve diverse customer problems and support a better and safer workplace. The Senior Data Scientist will be working with data, text, images, and other types of data to solve real-world problems through state-of-the-art approaches. They will leverage data science techniques and work closely with Data Engineers and Program Managers to facilitate the integration of data and information from varied source systems, so as to curate, expand, and maintain comprehensive maintenance knowledge bases. They will be working closely with Reliability Maintenance Engineering customers and with other scientists on the team to design and research strategies to integrate domain-specific knowledge and data into existing models and solutions, to provide relevant insights to business stakeholders. They will collaborate with cross-functional teams to develop new approaches making a difference in the daily lives of our customers. They will assess the performance of such approaches and contribute to experimental solutions that efficiently root cause maintenance issues or failures. They will stay at the forefront of advancements in data science and knowledge engineering through proactive participation in researching science and artificial intelligence based solutions. About the team The Decision Science & Technology (DST) team works at improving the efficiency of Reliability & Maintenance Engineering (RME) activities, reduce costs, increase safety and promote sustainability while creating frictionless customer experiences. Our work is articulated around three main programs and their respective goals: SCIENCE: We develop data driven decision tools for improving reliability and effectiveness of RME activities. We rely on the use of state-of-the-art methods and tools in Operations Research and Machine Learning. SPARE PARTS: We ensure that RME has the right parts available for maintenance, at the right time, and in the right quantity. KNOWLEDGE EXPERIENCE & TECHNOLOGY: We develop solutions to proactively connect people to the knowledge they need to perform their work in a more effective and safe way. We are open to hiring candidates to work out of one of the following locations: London, GBR BASIC QUALIFICATIONS - Experience with data scripting languages (e.g., SQL, Python, R, or equivalent) or statistical/mathematical software (e.g., R, SAS, Matlab, or equivalent) - Experience working as a Data Scientist - Experience with knowledge engineering, and transforming data into meaningful information and knowledge - Focus in Natural Language processing (NLP), Machine Learning and Semantic Web/Ontology/knowledge graph PREFERRED QUALIFICATIONS - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience managing data pipelines - Experience as a leader and mentor on a data science team Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice () to know more about how we collect, use and transfer the personal data of our candidates. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need an adjustment during the application and hiring process, including support for the interview or onboarding process, please contact the Applicant-Candidate Accommodation Team (ACAT), Monday through Friday from 7:00 am GMT - 4:00 pm GMT. If calling directly from the United Kingdom, please dial (tel:). If calling from Ireland, please dial (tel:). Posted: December 5, 2023 (Updated about 1 month ago) Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
4,000 professionals, 0 days wasted, 1 incredible purpose. Together we are beating cancer. Research Programme Manager (Research Data Strategy) Salary : £46,000 - £54,000 depending on experience Reports to : Head of Research Data Strategy Department : Research & Innovation Contract : Permanent Hours : Full time 35 hours per week (other flexible-working requests will also be considered) Location: Stratford, London with high flexibility (we would expect you to be in the office 1-2 days per week) Closing date : Thursday 9th May at 23.55. This vacancy may close earlier if a high number of applications are received or once a suitable candidate is found, so please do not delay submitting your application to avoid any disappointment. Interviews to be held on Friday 24th May. At Cancer Research UK, we exist to beat cancer. We are professionals with purpose, beating cancer every day. But we need to go much further and much faster. That's why we're looking for someone talented, someone who wants to develop their skills, someone like you. We have an exciting opportunity for an experienced Research Programme Manager to lead on developing and managing the Research Data Strategy portfolio: a suite of activities that support the cancer research community taking a data-driven approach to their research, to drive forward the field of cancer data science and use of large-scale data. The role includes scientific strategy development, research community-building, research management, evaluation, and communications (major projects can be tailored to suit the post-holder's skills and interests). About the Research Data Strategy We believe that the use of large-scale data using data science, including AI, will accelerate CRUK's ambition to beat cancer sooner. CRUK's Research Data Strategy was launched in summer 2022 and sets out our ambition in cancer research driven by big data and data science, that addresses the challenges and opportunities associated with this approach to cancer research. Since then we have launched: £5m programme in data-driven research for children and young people's cancers. £2.5m cancer data science network with several newly-appointed leads for communities of special interest in health systems data, spatial biology data, careers and training, diversity and involvement, infrastructure, data and samples re-use etc. trusted research programme comprising a secure data platform and advisory service to help researchers gain access to health system data. 'data champions' scheme to support our standing funding committees consider cutting edge data science proposals. our data-driven cancer research conference attended by over 300 colleagues from across the research community. In the coming months and years we are planning: a spatial biology data hackathon; to develop a training initiative to attract, retain and upskill cancer data scientists in academia; phase 2 of the data-driven research programme for cancer in children and young people's cancer, to name a subset of our plans. The Research Data Strategy aims to catalyse CRUK's progress in all aspects of its Research Strategy - prevention, detection, treatment, as well as discovery science. What will I be doing? Working alongside the Head of Research Data Strategy in developing new activities to deliver the ambitions of the Research Data Strategy. Delivering the existing core portfolio of data initiatives (e.g. by providing leadership for the newly appointed leads of our various communities of special interest as part of the cancer data network), and support delivery of the wider data portfolio being led by colleagues in teams and directorates across the charity, e.g. research operations; policy and influencing; cancer intelligence (particularly the trusted research environment programme team); commercial, corporate and other strategic partnerships, including international; training and careers; communications; philanthropy etc. Ensuring patient and public involvement and engagement (PPIE) and equality and diversity is embedded in all aspects of the Research Data Strategy portfolio and considered as part of the decisions taken, alongside our Public Involvement Lead. Delivering an effective governance structure for the Research Data Strategy both internally (e.g. by providing secretariat and strategic direction for the Data Steering Committee) and externally (e.g. by providing secretariat and strategic direction for the Data Advisory Board), including appropriate reporting metrics and review processes. Developing an understanding of CRUK's data science portfolio and act as a point of knowledge and expertise in the data portfolio, as well as an advocate for data science being a key type of research that CRUK supports across our funding streams. The post holder may have the opportunity to train for a Data Science Apprenticeship to top up skills in this area. Building and maintaining effective engagement with organisations involved in cancer data science, and managing key relationships with both internal and external stakeholders. What skills are we looking for? Essential: Educated to at least degree level in a science or health-related discipline, or equivalent experience. Experience of working in a relevant academic, industrial and/or research funding/management setting. Sound understanding of the data-driven biomedical research and funding landscape in the UK. Proven track record of leading on, managing, and delivering complex, multi-stakeholder projects successfully. Relevant experience of working with, coordinating, and influencing senior researchers and other senior stakeholders. Ability to lead a complex programme of work whilst maintaining links with relevant internal and external teams. Ability to work with many stakeholders, with at times conflicting needs and manage challenging scenarios. Proven ability to form strong, positive collaborative relationships at all levels of seniority and motivate action in individuals who do not report to you. Desirable: Postgraduate qualification (preferably in a biomedical or relevant scientific subject). Knowledge of cancer research generally, or data science specifically. Confident in developing clarity when confronted with complex and shifting circumstances. Sound understanding of project and reputational risk, and confidence to escalate issues as appropriate. Sound understanding of the data science research and funding landscape. Experience of matrix management/coordination of teams of staff who are not your direct reports. Budget management experience. What will I gain? Every one of our employees contributes to our progress and is supporting our work to beat cancer. We think that's impressive. In return, we make sure you are supported by a generous benefits package, a wide range of career and personal development opportunities and high-quality tools, policies, and processes to enable you to do your job well. Our benefits package includes a substantial retirement plan, a generous and flexible leave allowance, discounts on anything from travel to technology, gym membership, and much more. We don't forget people have lives outside of work too and so we actively encourage a flexible working culture. Our work - from funding cutting-edge research to developing public policy - will change the world. It's exciting to be part of our team. How do I apply? We operate an anonymised shortlisting process in our commitment to equality, diversity, and inclusion. CVs are required for all applications; but we won't be able to view them until we invite you for an interview. Instead, we ask you to complete the work history section of the online application form for us to be able to assess you quickly, fairly, and objectively.
Apr 27, 2024
Full time
4,000 professionals, 0 days wasted, 1 incredible purpose. Together we are beating cancer. Research Programme Manager (Research Data Strategy) Salary : £46,000 - £54,000 depending on experience Reports to : Head of Research Data Strategy Department : Research & Innovation Contract : Permanent Hours : Full time 35 hours per week (other flexible-working requests will also be considered) Location: Stratford, London with high flexibility (we would expect you to be in the office 1-2 days per week) Closing date : Thursday 9th May at 23.55. This vacancy may close earlier if a high number of applications are received or once a suitable candidate is found, so please do not delay submitting your application to avoid any disappointment. Interviews to be held on Friday 24th May. At Cancer Research UK, we exist to beat cancer. We are professionals with purpose, beating cancer every day. But we need to go much further and much faster. That's why we're looking for someone talented, someone who wants to develop their skills, someone like you. We have an exciting opportunity for an experienced Research Programme Manager to lead on developing and managing the Research Data Strategy portfolio: a suite of activities that support the cancer research community taking a data-driven approach to their research, to drive forward the field of cancer data science and use of large-scale data. The role includes scientific strategy development, research community-building, research management, evaluation, and communications (major projects can be tailored to suit the post-holder's skills and interests). About the Research Data Strategy We believe that the use of large-scale data using data science, including AI, will accelerate CRUK's ambition to beat cancer sooner. CRUK's Research Data Strategy was launched in summer 2022 and sets out our ambition in cancer research driven by big data and data science, that addresses the challenges and opportunities associated with this approach to cancer research. Since then we have launched: £5m programme in data-driven research for children and young people's cancers. £2.5m cancer data science network with several newly-appointed leads for communities of special interest in health systems data, spatial biology data, careers and training, diversity and involvement, infrastructure, data and samples re-use etc. trusted research programme comprising a secure data platform and advisory service to help researchers gain access to health system data. 'data champions' scheme to support our standing funding committees consider cutting edge data science proposals. our data-driven cancer research conference attended by over 300 colleagues from across the research community. In the coming months and years we are planning: a spatial biology data hackathon; to develop a training initiative to attract, retain and upskill cancer data scientists in academia; phase 2 of the data-driven research programme for cancer in children and young people's cancer, to name a subset of our plans. The Research Data Strategy aims to catalyse CRUK's progress in all aspects of its Research Strategy - prevention, detection, treatment, as well as discovery science. What will I be doing? Working alongside the Head of Research Data Strategy in developing new activities to deliver the ambitions of the Research Data Strategy. Delivering the existing core portfolio of data initiatives (e.g. by providing leadership for the newly appointed leads of our various communities of special interest as part of the cancer data network), and support delivery of the wider data portfolio being led by colleagues in teams and directorates across the charity, e.g. research operations; policy and influencing; cancer intelligence (particularly the trusted research environment programme team); commercial, corporate and other strategic partnerships, including international; training and careers; communications; philanthropy etc. Ensuring patient and public involvement and engagement (PPIE) and equality and diversity is embedded in all aspects of the Research Data Strategy portfolio and considered as part of the decisions taken, alongside our Public Involvement Lead. Delivering an effective governance structure for the Research Data Strategy both internally (e.g. by providing secretariat and strategic direction for the Data Steering Committee) and externally (e.g. by providing secretariat and strategic direction for the Data Advisory Board), including appropriate reporting metrics and review processes. Developing an understanding of CRUK's data science portfolio and act as a point of knowledge and expertise in the data portfolio, as well as an advocate for data science being a key type of research that CRUK supports across our funding streams. The post holder may have the opportunity to train for a Data Science Apprenticeship to top up skills in this area. Building and maintaining effective engagement with organisations involved in cancer data science, and managing key relationships with both internal and external stakeholders. What skills are we looking for? Essential: Educated to at least degree level in a science or health-related discipline, or equivalent experience. Experience of working in a relevant academic, industrial and/or research funding/management setting. Sound understanding of the data-driven biomedical research and funding landscape in the UK. Proven track record of leading on, managing, and delivering complex, multi-stakeholder projects successfully. Relevant experience of working with, coordinating, and influencing senior researchers and other senior stakeholders. Ability to lead a complex programme of work whilst maintaining links with relevant internal and external teams. Ability to work with many stakeholders, with at times conflicting needs and manage challenging scenarios. Proven ability to form strong, positive collaborative relationships at all levels of seniority and motivate action in individuals who do not report to you. Desirable: Postgraduate qualification (preferably in a biomedical or relevant scientific subject). Knowledge of cancer research generally, or data science specifically. Confident in developing clarity when confronted with complex and shifting circumstances. Sound understanding of project and reputational risk, and confidence to escalate issues as appropriate. Sound understanding of the data science research and funding landscape. Experience of matrix management/coordination of teams of staff who are not your direct reports. Budget management experience. What will I gain? Every one of our employees contributes to our progress and is supporting our work to beat cancer. We think that's impressive. In return, we make sure you are supported by a generous benefits package, a wide range of career and personal development opportunities and high-quality tools, policies, and processes to enable you to do your job well. Our benefits package includes a substantial retirement plan, a generous and flexible leave allowance, discounts on anything from travel to technology, gym membership, and much more. We don't forget people have lives outside of work too and so we actively encourage a flexible working culture. Our work - from funding cutting-edge research to developing public policy - will change the world. It's exciting to be part of our team. How do I apply? We operate an anonymised shortlisting process in our commitment to equality, diversity, and inclusion. CVs are required for all applications; but we won't be able to view them until we invite you for an interview. Instead, we ask you to complete the work history section of the online application form for us to be able to assess you quickly, fairly, and objectively.
Chief of Staff to the Chief Product Officer London We're on a mission to make money work for everyone. We're waving goodbye to the complicated and confusing ways of traditional banking. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! We're not about selling products - we want to solve problems and change lives through Monzo ️ The challenge of making money work for everyone is huge and complex. Imagine building FAANG level tech but in a regulated market - the possibilities are huge, but with exciting challenges paired alongside. The potential impact of Monzo is enormous and we're only 1% done. Digital banking has 15-20% adoption globally. We have the opportunity to impact millions, if not, billions of people's lives. And Product is at the heart of all this and of Monzo's long term success as a company that is looking to change people's relationship with their money. The product team, in collaboration with engineering, design, research, data, and business, set the vision and product strategy of Monzo and drives its execution in line with our goals. We're still a scaling team with tons to accomplish across our business lines and big questions we're answering. So the scope of your role as a Chief of Staff to the Chief Product Officer is massive and filled with opportunity! This Chief-of-Staff role reports directly to our Chief Product Officer, so you'll be working closely with him on a daily basis and drive his agenda! You'll be supporting him and the product leadership team in setting the product vision and strategy for Monzo. We're looking for someone who'll seed new initiatives and create effective processes, thus making our Product team THE place to be in the UK tech sector. What you'll be working on: Help formulate strategic projects for the Chief Product Officer, such as managing the product roadmap, goals setting, strategy setting Undertake ad-hoc projects for the Chief Product Officer and product leadership team (eg initiatives to increase shipping velocity) and leading key strategic product discipline initiatives Stay close to data on our performance, understanding the underlying drivers, creating a regular cadence for reporting Help coordinate the weekly business review document and session Collaborate with people across the company to drive impact and help unblock complex challenges, such as cross-collective product prioritisation, dependencies, and headcount Support better business decisions by managing competing priorities, allocating critical tasks and solving for multiple stakeholders Conceive, execute, and support on product team engagement, performance management & discipline progression initiatives in collaboration with the product team Ensure that the Chief Product Officer is well prepared for meetings and interactions with regulators, investors, journalists, board members, and employee forums Prepare and disseminate major communications You may at times represent the Chief Product Officer to the organisation and in key forums. You should apply if: You have extensive experience of driving outcomes in environments where influence and consensus building are critical You're a strong project manager - organised, detail oriented and thorough and experience and effective at prioritisation at a tactical and strategic level You're great at prioritising. You zero in on the highest leverage things and hold your stakeholders accountable for doing the same. You're highly analytical and quantitative - you're comfortable with spreadsheets, looker, and other analytics tools and can use data to make decisions wherever possible You're great at collaboration and stakeholder management. You can effectively work with people to get stuff done and are able to thoughtfully and constructively challenge the people you work with. You can be a bridge between product managers, engineers, designers, data scientists, senior leadership, etc. and drive collaboration and alignment across multiple teams. You're experienced in product management, in the tech sector or in working in a regulated environment (ideally financial services) You're a problem solver who can take initiative to drive high impact and improve the way things are done You're a curious, skilled multi-tasker who enjoys context switching and can balance depth and breadth You're an excellent communicator and able to frame messages well for different audiences You are excited by the ambition of what we're doing at Monzo and the challenges a growing product organisation brings. The Interview Process: Our interview process involves 4 main stages: Recruiter Call (30 mins)- Once you apply, if your application is aligned, one of our Hiring team will reach out to you for an introductory conversation. Initial Chat (30 mins) Experience loop( 2 hours) - This stage consists of 2 separate interviews that usually happen across 1-3 days. This will be made up of a Data Thinking and Problem Solving. If you get through to this stage, your Recruiter will have a 15-minute chat with you beforehand to help you get ready and prepare for this stage. Final round( 1.5 hours) - This stage consists of a collaboration and leadership interview and anin-person conversation with our Chief Product Officer to determine final fit for both you and him Our average process takes around 4-6 weeks but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your process but if you do have any specific questions ahead of this please contact us on What's in it for you: This role is based in our London office and will require you to be in the office 2-3 days a week We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. Learning budget of £1,000 a year for books, training courses and conferences And much more, see our full list of benefitshere Equal opportunities for everyone Diversity and inclusion are a priority for us and we're making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we're embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our blog , 2022 Diversity and Inclusion Report and 2023 Gender Pay Gap Report. We're an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status. Accepted file types: pdf, doc, docx, txt, rtf Accepted file types: pdf, doc, docx, txt, rtf Why do you think you're a good fit for this role? Select A US Person is defined as someone who: was born in the United States (US) has at least 1 parent who was born in the US is a naturalised citizen of the US is a green card holder is a US tax resident Keeping your data safe is really important to us. Select Please confirm your UK Right to Work status. Select We legally have to verify your Right to Work in the UK before you can start working for us. We're asking for this information now so we know later what type of right to work check we need to do. Your answer to this question won't affect the outcome of your application, unless you'd need visa sponsorship but are applying to a role we can't sponsor. If you'd like to, please share your preferred pronouns (eg. they/them/theirs, she/her/hers). If you'd like to, please spell out your name how it's pronounced so we know how to say it. Identity survey Our goal at Monzo is to make money work for everyone. To do that, working at Monzo must work for everyone. We want to create an equitable, engaged and innovative workplace which gives people from all backgrounds the support they need to thrive and grow. Making Monzo work for everyone starts right at the beginning of every Monzonaut's journey: when they apply to work here. This demographic survey will help us better understand the people who apply to work at Monzo. It'll help us see how different groups progress through our hiring process, and where we need to make improvements to be more inclusive. If you choose to fill it out, all of the information you give us is: Voluntary . And we've included a "prefer not to say" option for every question. It'd be helpful if you still fill out the survey even if you choose "prefer not to say" for every question, as it's useful for us to understand & record this. We won't know if you choose to fill this survey in or not. Anonymous to Monzo . We can't tie your responses to you and they won't make a difference to the outcome of your application. We'll only use grouped responses for equal opportunities monitoring in our hiring process. By filling out this survey, you agree that we can use your responses for the purposes we've mentioned above. You are not letting us know if we need to make any adjustments to the hiring process because of disability or neurodiversity - to do this please email us. . click apply for full job details
Apr 27, 2024
Full time
Chief of Staff to the Chief Product Officer London We're on a mission to make money work for everyone. We're waving goodbye to the complicated and confusing ways of traditional banking. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! We're not about selling products - we want to solve problems and change lives through Monzo ️ The challenge of making money work for everyone is huge and complex. Imagine building FAANG level tech but in a regulated market - the possibilities are huge, but with exciting challenges paired alongside. The potential impact of Monzo is enormous and we're only 1% done. Digital banking has 15-20% adoption globally. We have the opportunity to impact millions, if not, billions of people's lives. And Product is at the heart of all this and of Monzo's long term success as a company that is looking to change people's relationship with their money. The product team, in collaboration with engineering, design, research, data, and business, set the vision and product strategy of Monzo and drives its execution in line with our goals. We're still a scaling team with tons to accomplish across our business lines and big questions we're answering. So the scope of your role as a Chief of Staff to the Chief Product Officer is massive and filled with opportunity! This Chief-of-Staff role reports directly to our Chief Product Officer, so you'll be working closely with him on a daily basis and drive his agenda! You'll be supporting him and the product leadership team in setting the product vision and strategy for Monzo. We're looking for someone who'll seed new initiatives and create effective processes, thus making our Product team THE place to be in the UK tech sector. What you'll be working on: Help formulate strategic projects for the Chief Product Officer, such as managing the product roadmap, goals setting, strategy setting Undertake ad-hoc projects for the Chief Product Officer and product leadership team (eg initiatives to increase shipping velocity) and leading key strategic product discipline initiatives Stay close to data on our performance, understanding the underlying drivers, creating a regular cadence for reporting Help coordinate the weekly business review document and session Collaborate with people across the company to drive impact and help unblock complex challenges, such as cross-collective product prioritisation, dependencies, and headcount Support better business decisions by managing competing priorities, allocating critical tasks and solving for multiple stakeholders Conceive, execute, and support on product team engagement, performance management & discipline progression initiatives in collaboration with the product team Ensure that the Chief Product Officer is well prepared for meetings and interactions with regulators, investors, journalists, board members, and employee forums Prepare and disseminate major communications You may at times represent the Chief Product Officer to the organisation and in key forums. You should apply if: You have extensive experience of driving outcomes in environments where influence and consensus building are critical You're a strong project manager - organised, detail oriented and thorough and experience and effective at prioritisation at a tactical and strategic level You're great at prioritising. You zero in on the highest leverage things and hold your stakeholders accountable for doing the same. You're highly analytical and quantitative - you're comfortable with spreadsheets, looker, and other analytics tools and can use data to make decisions wherever possible You're great at collaboration and stakeholder management. You can effectively work with people to get stuff done and are able to thoughtfully and constructively challenge the people you work with. You can be a bridge between product managers, engineers, designers, data scientists, senior leadership, etc. and drive collaboration and alignment across multiple teams. You're experienced in product management, in the tech sector or in working in a regulated environment (ideally financial services) You're a problem solver who can take initiative to drive high impact and improve the way things are done You're a curious, skilled multi-tasker who enjoys context switching and can balance depth and breadth You're an excellent communicator and able to frame messages well for different audiences You are excited by the ambition of what we're doing at Monzo and the challenges a growing product organisation brings. The Interview Process: Our interview process involves 4 main stages: Recruiter Call (30 mins)- Once you apply, if your application is aligned, one of our Hiring team will reach out to you for an introductory conversation. Initial Chat (30 mins) Experience loop( 2 hours) - This stage consists of 2 separate interviews that usually happen across 1-3 days. This will be made up of a Data Thinking and Problem Solving. If you get through to this stage, your Recruiter will have a 15-minute chat with you beforehand to help you get ready and prepare for this stage. Final round( 1.5 hours) - This stage consists of a collaboration and leadership interview and anin-person conversation with our Chief Product Officer to determine final fit for both you and him Our average process takes around 4-6 weeks but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your process but if you do have any specific questions ahead of this please contact us on What's in it for you: This role is based in our London office and will require you to be in the office 2-3 days a week We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. Learning budget of £1,000 a year for books, training courses and conferences And much more, see our full list of benefitshere Equal opportunities for everyone Diversity and inclusion are a priority for us and we're making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we're embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our blog , 2022 Diversity and Inclusion Report and 2023 Gender Pay Gap Report. We're an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status. Accepted file types: pdf, doc, docx, txt, rtf Accepted file types: pdf, doc, docx, txt, rtf Why do you think you're a good fit for this role? Select A US Person is defined as someone who: was born in the United States (US) has at least 1 parent who was born in the US is a naturalised citizen of the US is a green card holder is a US tax resident Keeping your data safe is really important to us. Select Please confirm your UK Right to Work status. Select We legally have to verify your Right to Work in the UK before you can start working for us. We're asking for this information now so we know later what type of right to work check we need to do. Your answer to this question won't affect the outcome of your application, unless you'd need visa sponsorship but are applying to a role we can't sponsor. If you'd like to, please share your preferred pronouns (eg. they/them/theirs, she/her/hers). If you'd like to, please spell out your name how it's pronounced so we know how to say it. Identity survey Our goal at Monzo is to make money work for everyone. To do that, working at Monzo must work for everyone. We want to create an equitable, engaged and innovative workplace which gives people from all backgrounds the support they need to thrive and grow. Making Monzo work for everyone starts right at the beginning of every Monzonaut's journey: when they apply to work here. This demographic survey will help us better understand the people who apply to work at Monzo. It'll help us see how different groups progress through our hiring process, and where we need to make improvements to be more inclusive. If you choose to fill it out, all of the information you give us is: Voluntary . And we've included a "prefer not to say" option for every question. It'd be helpful if you still fill out the survey even if you choose "prefer not to say" for every question, as it's useful for us to understand & record this. We won't know if you choose to fill this survey in or not. Anonymous to Monzo . We can't tie your responses to you and they won't make a difference to the outcome of your application. We'll only use grouped responses for equal opportunities monitoring in our hiring process. By filling out this survey, you agree that we can use your responses for the purposes we've mentioned above. You are not letting us know if we need to make any adjustments to the hiring process because of disability or neurodiversity - to do this please email us. . click apply for full job details
We strongly encourage applications from people of colour, the LGBTQ+ community, people with disabilities, neurodivergent people, parents, carers, and people from lower socio-economic backgrounds. If there's anything we can do to accommodate your specific situation, please let us know. About Cleo: Most people come to Cleo to do work that matters. Every day, we empower people to build a life beyond their next paycheck, building a beloved AI that enables you to forge your own path toward financial well-being. Backed by some of the most well-known investors in tech, we've reached millions of people to support them throughout their financial lives, from their first paycheck to their first home and beyond. We're hitting headlines too. This year, Forbes named us as one of their Next Billion Dollar Startups, and we were crowned the 'Hottest Tech Scaleup' at the Europas. Follow us on LinkedIn to keep up to date with new product features and insights from the team. The Role: You'll be a key member of our Plus & Money platform pillar, specifically working within the Payments and Lending team, responsible for enhancing our product features to support user financial health by leveraging data science and machine learning to refine and advance Cleo's product offerings. Responsibilities: Drive DS/ML Enablement and Innovation: Work on the enablement side of DS payments and lending, developing new commercially focused models and taking them from an idea, to production and generating value. Optimise Existing Models: Take ownership of critical existing models that currently drive our risk assessment and payments decisioning, optimising them to deliver their full potential. Infrastructure Development: Drive initiatives to improve Cleo's modelling infrastructure to enable their seamless use across the company, owning metrics like model latency, quality and robustness. Collaborate Across Functions: Work collaboratively with other squads to enhance product capabilities by scaling the use of commercial models and identifying new modelling applications What We're Looking For: Experience in Product Management: 3+ years in product management, focusing on consumer product growth and optimization, with a background in leveraging data analytics and user insights for product development. Data Science and Machine Learning: Strong understanding of DS/ML problems and solutions, passionate about leveraging these skills to drive growth, optimize product offerings, and enhance financial well-being. Hands-On Collaboration: Enjoy working closely with a cross-functional team, including analysts, designers, marketers, and engineers. Strategic Involvement: Actively involve your product squad in strategic planning and decision-making processes. Why This Role Is Exciting: Impactful Work: Drive significant improvements in financial health for users through innovative data science and machine learning projects. Cross-Functional Influence: Shape the future of Cleo's product offerings by working with cross-functional teams in implementing data-driven decisions. How long will the process take? Step 1: Call with a member of our Talent Team to find out more about your experience and why you want to work at Cleo Step 2: 45-60 minutes with another of our ML focused Product Managers Step 3: Live product task interview, to be presented to one of our Product Managers and Data Scientists Step 4: 45 minutes each with two cross-functional peers from Engineering, Design or Analytics What do you get for all your hard work? A competitive compensation package (base + equity). You can view our public progression framework and salary bandings here: This role is level PM4. Work at one of the fastest-growing tech startups, backed by top VC firms like Sofina, Balderton & EQT Ventures. A clear progression plan. We want you to keep growing. That means trying new things, leading others, challenging the status quo and owning your impact. Always with our complete support. Flexibility : We treat you as humans first, employees second. Because we can't fight for the world's financial health, if we're not healthy ourselves. This means all the usual perks but it also means flexibility. We take pride in being a flexible workplace that trusts our Cleople to deliver their best work, giving you the autonomy to structure your day around morning drop-offs to school or daily dog walks. Hybrid-first: Join our hybrid-first team, where we blend the best of both remote and in-office work. We expect our team members to be in our London office 1-2 times a week. On Thursdays, we buy you lunch but you can come to the office on whichever days work best for you! Other benefits; 25 days annual leave a year + public holidays (+ an additional day for every year you spend at Cleo) Check out our new benefits package here: 6% employer-matched pension in the UK Company-wide performance reviews every 8 months e.g every 2 terms, in line with our termly cycles (Jan-April, May-Aug, Sept-Dec): Generous pay increases for high-performers and high-growth team members Equity top-ups for team members getting promoted Private Medical Insurance via Vitality, dental cover, and life assurance Enhanced parental leave 1 month paid sabbatical after 4 years at Cleo Regular socials and activities, online and in-person We'll pay for your OpenAI subscription Online mental health support via Spill And many more! UK App access: The Cleo app is no longer downloadable in the UK. Why? 99% of our users are based in the US - where financial health is often overlooked. We've decided to shift our focus to where we can provide the most value and make the greatest impact.
Apr 27, 2024
Full time
We strongly encourage applications from people of colour, the LGBTQ+ community, people with disabilities, neurodivergent people, parents, carers, and people from lower socio-economic backgrounds. If there's anything we can do to accommodate your specific situation, please let us know. About Cleo: Most people come to Cleo to do work that matters. Every day, we empower people to build a life beyond their next paycheck, building a beloved AI that enables you to forge your own path toward financial well-being. Backed by some of the most well-known investors in tech, we've reached millions of people to support them throughout their financial lives, from their first paycheck to their first home and beyond. We're hitting headlines too. This year, Forbes named us as one of their Next Billion Dollar Startups, and we were crowned the 'Hottest Tech Scaleup' at the Europas. Follow us on LinkedIn to keep up to date with new product features and insights from the team. The Role: You'll be a key member of our Plus & Money platform pillar, specifically working within the Payments and Lending team, responsible for enhancing our product features to support user financial health by leveraging data science and machine learning to refine and advance Cleo's product offerings. Responsibilities: Drive DS/ML Enablement and Innovation: Work on the enablement side of DS payments and lending, developing new commercially focused models and taking them from an idea, to production and generating value. Optimise Existing Models: Take ownership of critical existing models that currently drive our risk assessment and payments decisioning, optimising them to deliver their full potential. Infrastructure Development: Drive initiatives to improve Cleo's modelling infrastructure to enable their seamless use across the company, owning metrics like model latency, quality and robustness. Collaborate Across Functions: Work collaboratively with other squads to enhance product capabilities by scaling the use of commercial models and identifying new modelling applications What We're Looking For: Experience in Product Management: 3+ years in product management, focusing on consumer product growth and optimization, with a background in leveraging data analytics and user insights for product development. Data Science and Machine Learning: Strong understanding of DS/ML problems and solutions, passionate about leveraging these skills to drive growth, optimize product offerings, and enhance financial well-being. Hands-On Collaboration: Enjoy working closely with a cross-functional team, including analysts, designers, marketers, and engineers. Strategic Involvement: Actively involve your product squad in strategic planning and decision-making processes. Why This Role Is Exciting: Impactful Work: Drive significant improvements in financial health for users through innovative data science and machine learning projects. Cross-Functional Influence: Shape the future of Cleo's product offerings by working with cross-functional teams in implementing data-driven decisions. How long will the process take? Step 1: Call with a member of our Talent Team to find out more about your experience and why you want to work at Cleo Step 2: 45-60 minutes with another of our ML focused Product Managers Step 3: Live product task interview, to be presented to one of our Product Managers and Data Scientists Step 4: 45 minutes each with two cross-functional peers from Engineering, Design or Analytics What do you get for all your hard work? A competitive compensation package (base + equity). You can view our public progression framework and salary bandings here: This role is level PM4. Work at one of the fastest-growing tech startups, backed by top VC firms like Sofina, Balderton & EQT Ventures. A clear progression plan. We want you to keep growing. That means trying new things, leading others, challenging the status quo and owning your impact. Always with our complete support. Flexibility : We treat you as humans first, employees second. Because we can't fight for the world's financial health, if we're not healthy ourselves. This means all the usual perks but it also means flexibility. We take pride in being a flexible workplace that trusts our Cleople to deliver their best work, giving you the autonomy to structure your day around morning drop-offs to school or daily dog walks. Hybrid-first: Join our hybrid-first team, where we blend the best of both remote and in-office work. We expect our team members to be in our London office 1-2 times a week. On Thursdays, we buy you lunch but you can come to the office on whichever days work best for you! Other benefits; 25 days annual leave a year + public holidays (+ an additional day for every year you spend at Cleo) Check out our new benefits package here: 6% employer-matched pension in the UK Company-wide performance reviews every 8 months e.g every 2 terms, in line with our termly cycles (Jan-April, May-Aug, Sept-Dec): Generous pay increases for high-performers and high-growth team members Equity top-ups for team members getting promoted Private Medical Insurance via Vitality, dental cover, and life assurance Enhanced parental leave 1 month paid sabbatical after 4 years at Cleo Regular socials and activities, online and in-person We'll pay for your OpenAI subscription Online mental health support via Spill And many more! UK App access: The Cleo app is no longer downloadable in the UK. Why? 99% of our users are based in the US - where financial health is often overlooked. We've decided to shift our focus to where we can provide the most value and make the greatest impact.
PwC is a market leading provider of cyber security services to major organisations worldwide. Our global team of over 4,850 cybersecurity professionals includes specialised consultants, former law enforcement officials, forensic investigators, intelligence analysts, data scientists, legal professionals and industry leaders in cybersecurity and privacy. We are rated as a leader by multiple industry analysts for Global, EMEA and Asia-Pacific Cybersecurity Consulting services. Our multi-disciplined Cyber Incident Response (CIR) practice is central to this. Our team supports PwC's clients in crisis to prepare, respond and recover from cyber attacks, as well as reduce the risk of attacks by using the insights we have gained from being at the front-lines of investigating these attacks. Now is an exciting time to join the team and help shape and execute ambitious plans over the next 5 years. A key part of this will be increasing our capacity to help our clients prepare for and reduce the risk of attacks. This includes working with our clients' security operations teams to improve their ability to detect and respond to attacks, and with their IT teams to implement targeted technical improvements that increase "cost to the attacker". Our Cyber Incident Response practice works closely alongside many other of our front-line technical teams, including our global threat intelligence team, our Managed Cyber Defence threat hunting team and our ethical hacking practice. We also work with PwC's dedicated crisis coordination team to provide support to clients at all levels of their organisations. Experience We want team members with a strong technical understanding of how organisations can prevent, detect, assess and respond to cybersecurity threats and incidents, as well as how to build best of class incident response and security operations capabilities. We also want team members who will be passionate about developing and improving our technical consulting offerings using the insights gained from being at the front-lines of investigating these cyber attacks. You should have a proven ability to lead teams and projects in complex programs of transformation, or technical remediation of cyber incidents. You will have an in-depth understanding of cyber incidents and the technical remediation of systems with a particular focus on the Microsoft technology stack. You should also understand the processes, techniques and tools used by security operations and incident response teams We are also looking for team members with high levels of communication skills, as well as consulting and project management experience. You will also be able to easily flex between work with both technical client stakeholders, such as SOC analysts, as well as senior stakeholders such as a Head of SOCs, Head of Cyber Security or CIO. You will ideally have experience such as: Deep knowledge of the Microsoft technology stack with a particular focus on Active Directory and Azure Active Directory and an understanding of architecture and security engineering principles; Collaborating with incident response teams to plan and deliver targeted remediation activities after cyber security incidents; Working collaboratively with IT teams to remediate vulnerabilities identified through red team engagements, penetration testing and vulnerability scanning; Planning and coordination of large-scale security incident response, remediation and recovery efforts involving multiple parties and teams; Acting as the subject matter expert or technical team lead for organisations in cyber crisis and data breach situations, and providing technical response strategy and execution support to enable them to successfully resolve, remediate, and recover from cyber security incidents. A robust understanding of the typical techniques used by attackers, ranging from criminal to state affiliated groups and securing an IT system against common attacker techniques aligned to the MITRE ATT&CK framework; Developing cyber incident response plan, playbooks and processes that allow security operations team to rapidly and effectively respond to incidents; Responsibilities We are looking for passionate, motivated and experienced individuals that can lead our work helping clients contain and remediate following cyber incidents. You will be responsible for developing the capability in the team and driving future strategy, as well as assisting clients improve their cyber security through a range of services. As this role would be part of our multidisciplinary Cyber Incident Response practice, this role would also include assisting the wider team to help clients respond to cyber security incidents. Lead client engagements across our incident response services portfolio to help clients remediate their environments following cyber incidents. Responsibilities will include acting as the key point of contact for senior client stakeholders, setting direction for the project teams, and being accountable for the technical excellence of our delivery. Example projects include: Designing and implementing improvements to our clients detection tooling; Setting roadmaps for future implementation of targeted improvements to increase cost to the attacker. Assessing organisations' ability to detect and respond to cyber attacks; Understanding organisations' vulnerability to specific cyber security threats; Delivering remediation projects for clients who have had cyber security incidents, and assisting plan cyber transformations; Testing and improving cyber incident response plans, runbooks and processes; Contribute to capability development, proposition development and thought leadership initiatives; Provide mentoring and oversight to the incident response practice to help the team grow and develop; Collaborate and build relationships with PwC's wider Cyber Security practice, sharing insights gained from responding to incidents and helping other teams win and deliver work; Originate, cultivate and maintain relationships with existing and new clients, and support outreach and business development efforts in collaboration with other teams; Develop, enhance or refine the portfolio of incident response services in line with market trends, emerging threats, or opportunities for innovation or market disruption; Support the execution of our business strategy and growing PwC's reputation in the cyber security market, for example by taking on responsibility for relationships with third parties such as technology alliance partners; and, Play a key role in PwC's global incident response community to support knowledge sharing, practice development and to pursue opportunities in collaboration with global colleagues.
Apr 26, 2024
Full time
PwC is a market leading provider of cyber security services to major organisations worldwide. Our global team of over 4,850 cybersecurity professionals includes specialised consultants, former law enforcement officials, forensic investigators, intelligence analysts, data scientists, legal professionals and industry leaders in cybersecurity and privacy. We are rated as a leader by multiple industry analysts for Global, EMEA and Asia-Pacific Cybersecurity Consulting services. Our multi-disciplined Cyber Incident Response (CIR) practice is central to this. Our team supports PwC's clients in crisis to prepare, respond and recover from cyber attacks, as well as reduce the risk of attacks by using the insights we have gained from being at the front-lines of investigating these attacks. Now is an exciting time to join the team and help shape and execute ambitious plans over the next 5 years. A key part of this will be increasing our capacity to help our clients prepare for and reduce the risk of attacks. This includes working with our clients' security operations teams to improve their ability to detect and respond to attacks, and with their IT teams to implement targeted technical improvements that increase "cost to the attacker". Our Cyber Incident Response practice works closely alongside many other of our front-line technical teams, including our global threat intelligence team, our Managed Cyber Defence threat hunting team and our ethical hacking practice. We also work with PwC's dedicated crisis coordination team to provide support to clients at all levels of their organisations. Experience We want team members with a strong technical understanding of how organisations can prevent, detect, assess and respond to cybersecurity threats and incidents, as well as how to build best of class incident response and security operations capabilities. We also want team members who will be passionate about developing and improving our technical consulting offerings using the insights gained from being at the front-lines of investigating these cyber attacks. You should have a proven ability to lead teams and projects in complex programs of transformation, or technical remediation of cyber incidents. You will have an in-depth understanding of cyber incidents and the technical remediation of systems with a particular focus on the Microsoft technology stack. You should also understand the processes, techniques and tools used by security operations and incident response teams We are also looking for team members with high levels of communication skills, as well as consulting and project management experience. You will also be able to easily flex between work with both technical client stakeholders, such as SOC analysts, as well as senior stakeholders such as a Head of SOCs, Head of Cyber Security or CIO. You will ideally have experience such as: Deep knowledge of the Microsoft technology stack with a particular focus on Active Directory and Azure Active Directory and an understanding of architecture and security engineering principles; Collaborating with incident response teams to plan and deliver targeted remediation activities after cyber security incidents; Working collaboratively with IT teams to remediate vulnerabilities identified through red team engagements, penetration testing and vulnerability scanning; Planning and coordination of large-scale security incident response, remediation and recovery efforts involving multiple parties and teams; Acting as the subject matter expert or technical team lead for organisations in cyber crisis and data breach situations, and providing technical response strategy and execution support to enable them to successfully resolve, remediate, and recover from cyber security incidents. A robust understanding of the typical techniques used by attackers, ranging from criminal to state affiliated groups and securing an IT system against common attacker techniques aligned to the MITRE ATT&CK framework; Developing cyber incident response plan, playbooks and processes that allow security operations team to rapidly and effectively respond to incidents; Responsibilities We are looking for passionate, motivated and experienced individuals that can lead our work helping clients contain and remediate following cyber incidents. You will be responsible for developing the capability in the team and driving future strategy, as well as assisting clients improve their cyber security through a range of services. As this role would be part of our multidisciplinary Cyber Incident Response practice, this role would also include assisting the wider team to help clients respond to cyber security incidents. Lead client engagements across our incident response services portfolio to help clients remediate their environments following cyber incidents. Responsibilities will include acting as the key point of contact for senior client stakeholders, setting direction for the project teams, and being accountable for the technical excellence of our delivery. Example projects include: Designing and implementing improvements to our clients detection tooling; Setting roadmaps for future implementation of targeted improvements to increase cost to the attacker. Assessing organisations' ability to detect and respond to cyber attacks; Understanding organisations' vulnerability to specific cyber security threats; Delivering remediation projects for clients who have had cyber security incidents, and assisting plan cyber transformations; Testing and improving cyber incident response plans, runbooks and processes; Contribute to capability development, proposition development and thought leadership initiatives; Provide mentoring and oversight to the incident response practice to help the team grow and develop; Collaborate and build relationships with PwC's wider Cyber Security practice, sharing insights gained from responding to incidents and helping other teams win and deliver work; Originate, cultivate and maintain relationships with existing and new clients, and support outreach and business development efforts in collaboration with other teams; Develop, enhance or refine the portfolio of incident response services in line with market trends, emerging threats, or opportunities for innovation or market disruption; Support the execution of our business strategy and growing PwC's reputation in the cyber security market, for example by taking on responsibility for relationships with third parties such as technology alliance partners; and, Play a key role in PwC's global incident response community to support knowledge sharing, practice development and to pursue opportunities in collaboration with global colleagues.
We are looking for an experienced Data Scientist to join WTW in our Insurance Consulting & Technology practice (ICT). We have a growing data science team and are developing our client facing data science advisory capability. You will work beside some of the insurance market's top people, designing and implementing cutting-edge solutions to challenges faced by the world's top general insurers and intermediaries in both commercial and personal lines business. The Role Deliver best in class data science capability reviews. Build effective predictive models, analytic tools and processes using a wide range of analytical and data science techniques. Leverage your market knowledge to develop cutting edge solutions in collaboration with various teams from across WTW. Build a market profile as a representative and advocate of WTW data science consulting services and technology solutions. Manage substantial work streams in large projects, with responsibility for communication with clients and the day-to-day running of projects. Work collaboratively on a range of projects / internal responsibilities and manage priorities appropriately. Develop a trusted advisor relationship with client contacts through effective communication and efficient, quality execution of client work. Seek to be involved in a variety of work to ensure a broad skill set (technical, management and client) is maintained and developed. Interface with colleagues from other practices and regions on assignments that reflect the client's broader business issues. Demonstrate commitment to Willis Towers Watson professional standards in managing analyses and in communications with client. To develop new relevant propositions or to enhance current pricing propositions leveraging Willis Towers Watson's toolset and broader pricing intellectual property and resources. Manage or contribute to the development of the company's intellectual capital including plans for taking this to market. Financial and business development. Meet goals for billable hours and intellectual capital development. Develop and present proposals to potential clients, demonstrating the economic value of the company's offerings. Use contacts within current network to obtain introductions to new contacts; work to develop supporters for company's products and services. Manage teams of one or more junior associates to effectively deliver client projects on time and on budget. The Requirements Comprehensive experience in data science for a large corporate, consultancy or technology firm, with experience in a UK general insurance firm (personal or commercial lines) of great benefit. An advocate for the development of analytical approaches and the adoption of new techniques, including data science, machine learning and AI. Solid experience with data manipulation. Experience with python, git (or other versioning tools) and mlops is preferred. An understanding of machine learning and statistical theory. Experience with Azure and AWS is desirable. A track record in innovation and creativity delivering realised revenue enhancements. Strong interpersonal and team skills. Self-starter attitude and ability to work within ambiguity. Enjoy training/mentoring junior staff. Excellent project management skills. The ability to see the "big picture", leveraging the resources of related practices to address clients' business challenges. At WTW, we trust you to know your work and the people, tools, and environment you need to be successful. Most of our colleagues work in a "hybrid" style, with a mix of remote, in-person and in-office interactions dependent on the needs of the team, role, and clients. Our flexibility is rooted in trust and "hybrid" is not a one-size-fits-all solution We understand flexibility is key to supporting an inclusive and diverse workforce and so we encourage requests for all types of flexible working as well as location-based arrangements. Please speak to your recruiter to discuss more.
Apr 26, 2024
Full time
We are looking for an experienced Data Scientist to join WTW in our Insurance Consulting & Technology practice (ICT). We have a growing data science team and are developing our client facing data science advisory capability. You will work beside some of the insurance market's top people, designing and implementing cutting-edge solutions to challenges faced by the world's top general insurers and intermediaries in both commercial and personal lines business. The Role Deliver best in class data science capability reviews. Build effective predictive models, analytic tools and processes using a wide range of analytical and data science techniques. Leverage your market knowledge to develop cutting edge solutions in collaboration with various teams from across WTW. Build a market profile as a representative and advocate of WTW data science consulting services and technology solutions. Manage substantial work streams in large projects, with responsibility for communication with clients and the day-to-day running of projects. Work collaboratively on a range of projects / internal responsibilities and manage priorities appropriately. Develop a trusted advisor relationship with client contacts through effective communication and efficient, quality execution of client work. Seek to be involved in a variety of work to ensure a broad skill set (technical, management and client) is maintained and developed. Interface with colleagues from other practices and regions on assignments that reflect the client's broader business issues. Demonstrate commitment to Willis Towers Watson professional standards in managing analyses and in communications with client. To develop new relevant propositions or to enhance current pricing propositions leveraging Willis Towers Watson's toolset and broader pricing intellectual property and resources. Manage or contribute to the development of the company's intellectual capital including plans for taking this to market. Financial and business development. Meet goals for billable hours and intellectual capital development. Develop and present proposals to potential clients, demonstrating the economic value of the company's offerings. Use contacts within current network to obtain introductions to new contacts; work to develop supporters for company's products and services. Manage teams of one or more junior associates to effectively deliver client projects on time and on budget. The Requirements Comprehensive experience in data science for a large corporate, consultancy or technology firm, with experience in a UK general insurance firm (personal or commercial lines) of great benefit. An advocate for the development of analytical approaches and the adoption of new techniques, including data science, machine learning and AI. Solid experience with data manipulation. Experience with python, git (or other versioning tools) and mlops is preferred. An understanding of machine learning and statistical theory. Experience with Azure and AWS is desirable. A track record in innovation and creativity delivering realised revenue enhancements. Strong interpersonal and team skills. Self-starter attitude and ability to work within ambiguity. Enjoy training/mentoring junior staff. Excellent project management skills. The ability to see the "big picture", leveraging the resources of related practices to address clients' business challenges. At WTW, we trust you to know your work and the people, tools, and environment you need to be successful. Most of our colleagues work in a "hybrid" style, with a mix of remote, in-person and in-office interactions dependent on the needs of the team, role, and clients. Our flexibility is rooted in trust and "hybrid" is not a one-size-fits-all solution We understand flexibility is key to supporting an inclusive and diverse workforce and so we encourage requests for all types of flexible working as well as location-based arrangements. Please speak to your recruiter to discuss more.
Introduction The UKHSA Data Operations Directorate provides strategic leadership and oversight for developing and managing a common and bespoke suite of performant, modern, secure, data and analytical tools, services, platforms and applications, ensuring access to high quality data and analytics services, internally and externally. Job Overview The post holder will provide day-to-day administrative and/or dedicated PA support to Deputy Directors and to the wider Directorate senior management team. They will maintain effective working relationships with a variety of stakeholders both internal and external to the organisation. The post holder will work with minimal supervision and be expected to work flexibly as part of a multi-disciplinary team providing a wide range of specific administrative duties. The post holder may work with colleagues who are based across the country at different sites and/or who work remotely. Main Duties & Responsibilities PA Support Provide dedicated comprehensive PA support to of one or more individual senior members of the directorate as requested. This may include: reading, monitoring and responding to the manager's email diary management booking complex travel arrangements preliminary drafting of correspondence on the manager's behalf and/or preparing presentations Carrying out basic research Administrative Support Provide comprehensive administrative support to teams across the Directorate Lead and act as a central coordinating point of contact for a range of business administration activities. This will include delegated lead responsibility for certain corporate function processes. For example, compiling and updating health and safety risk assessments or reporting of sickness absence and preparing and submitting returns on behalf of the team as required. Communicate and engage effectively with a range of people, including internal and external staff and stakeholders. This will include dealing with stakeholder enquiries promptly and courteously by email, telephone, letter or in person, referring to the relevant lead where appropriate. Responsible for the organisation of meetings and events and production of reports, papers, minutes and updating action logs as required. This will include providing secretariat support to teams and other internal meetings and networks as required. Support the development of systems and procedures where necessary to ensure efficiency, quality and cost effectiveness across the business support and administration function. Participate in relevant internal working groups/projects, services and initiatives across the organisation representing the Team or Directorate Carry out timely and accurate information analysis and reporting on agreed areas of their working area and present findings in an agreed manner. This will include developing and maintaining databases as required by the job using a variety of digital and IT applications. Contribute to effective information management (including maintaining administrative and information resources, i.e. filing systems) and assist with the dissemination and/or collation of information/returns, in a timely manner. Responsible for organising and controlling own workload ensuring deadlines are observed and duties performed efficiently. Provide cover as directed by line manager for other members of the team in their absence and assist with their workloads as necessary. Project Support Undertake project support in the absence of a dedicated project support role in the structure, responding to information requests and other tasks which will involve meeting tight deadlines and may include using digital tools, for example JIRA. This will include: assisting and working closely with members of the project team(s), supporting elements of projects as directed by the relevant lead or project manager; maintaining project plans; supporting the provision of management information; and participating in working groups. Financial and Resource Management Provide support and information to aid effective management of budgets, in liaison with the Finance Business Partner, including overseeing the placement and/or orders for goods and/or stationery, receipt goods and maintain log of expenditure. Support the end of year / monthly close down of accounts. Leadership and Management Be a visible, positive and competent role model and motivator, and provide training, advice and support in own area of responsibility. Undertake effective line management of staff (if applicable) within area of responsibility, including: undertaking annual appraisals and ensuring direct reports have access to appropriate training and induction; progressing any disciplinary or capability issues, as necessary; and participating in recruitment process of administrative staff. Communication and Key Working Relationships The post holder will develop effective working relationships and communicate regularly either by phone, email or face to face with a wide range of individuals including clinical and non-clinical staff, scientists, support staff, managers and corporate team staff for example, HR or Payroll. The post holder may make or receive phone calls, receive emails and decide relevant action, responding directly where appropriate and this may include external people for example, stakeholders and/or from members of the public as well as other public health organisations e.g. NHS and the Dept. of Health. Personal and Professional Development Undergo a programme of on-going development and education, including the annual appraisal process, to build on existing knowledge and develop skills to meet the behaviours and competencies required to undertake the role. for more info click the apply here button
Apr 26, 2024
Full time
Introduction The UKHSA Data Operations Directorate provides strategic leadership and oversight for developing and managing a common and bespoke suite of performant, modern, secure, data and analytical tools, services, platforms and applications, ensuring access to high quality data and analytics services, internally and externally. Job Overview The post holder will provide day-to-day administrative and/or dedicated PA support to Deputy Directors and to the wider Directorate senior management team. They will maintain effective working relationships with a variety of stakeholders both internal and external to the organisation. The post holder will work with minimal supervision and be expected to work flexibly as part of a multi-disciplinary team providing a wide range of specific administrative duties. The post holder may work with colleagues who are based across the country at different sites and/or who work remotely. Main Duties & Responsibilities PA Support Provide dedicated comprehensive PA support to of one or more individual senior members of the directorate as requested. This may include: reading, monitoring and responding to the manager's email diary management booking complex travel arrangements preliminary drafting of correspondence on the manager's behalf and/or preparing presentations Carrying out basic research Administrative Support Provide comprehensive administrative support to teams across the Directorate Lead and act as a central coordinating point of contact for a range of business administration activities. This will include delegated lead responsibility for certain corporate function processes. For example, compiling and updating health and safety risk assessments or reporting of sickness absence and preparing and submitting returns on behalf of the team as required. Communicate and engage effectively with a range of people, including internal and external staff and stakeholders. This will include dealing with stakeholder enquiries promptly and courteously by email, telephone, letter or in person, referring to the relevant lead where appropriate. Responsible for the organisation of meetings and events and production of reports, papers, minutes and updating action logs as required. This will include providing secretariat support to teams and other internal meetings and networks as required. Support the development of systems and procedures where necessary to ensure efficiency, quality and cost effectiveness across the business support and administration function. Participate in relevant internal working groups/projects, services and initiatives across the organisation representing the Team or Directorate Carry out timely and accurate information analysis and reporting on agreed areas of their working area and present findings in an agreed manner. This will include developing and maintaining databases as required by the job using a variety of digital and IT applications. Contribute to effective information management (including maintaining administrative and information resources, i.e. filing systems) and assist with the dissemination and/or collation of information/returns, in a timely manner. Responsible for organising and controlling own workload ensuring deadlines are observed and duties performed efficiently. Provide cover as directed by line manager for other members of the team in their absence and assist with their workloads as necessary. Project Support Undertake project support in the absence of a dedicated project support role in the structure, responding to information requests and other tasks which will involve meeting tight deadlines and may include using digital tools, for example JIRA. This will include: assisting and working closely with members of the project team(s), supporting elements of projects as directed by the relevant lead or project manager; maintaining project plans; supporting the provision of management information; and participating in working groups. Financial and Resource Management Provide support and information to aid effective management of budgets, in liaison with the Finance Business Partner, including overseeing the placement and/or orders for goods and/or stationery, receipt goods and maintain log of expenditure. Support the end of year / monthly close down of accounts. Leadership and Management Be a visible, positive and competent role model and motivator, and provide training, advice and support in own area of responsibility. Undertake effective line management of staff (if applicable) within area of responsibility, including: undertaking annual appraisals and ensuring direct reports have access to appropriate training and induction; progressing any disciplinary or capability issues, as necessary; and participating in recruitment process of administrative staff. Communication and Key Working Relationships The post holder will develop effective working relationships and communicate regularly either by phone, email or face to face with a wide range of individuals including clinical and non-clinical staff, scientists, support staff, managers and corporate team staff for example, HR or Payroll. The post holder may make or receive phone calls, receive emails and decide relevant action, responding directly where appropriate and this may include external people for example, stakeholders and/or from members of the public as well as other public health organisations e.g. NHS and the Dept. of Health. Personal and Professional Development Undergo a programme of on-going development and education, including the annual appraisal process, to build on existing knowledge and develop skills to meet the behaviours and competencies required to undertake the role. for more info click the apply here button
Bringing that feel-good energy. We're the newest face amongst the E.ON group of companies. E.ON Next is all about creating a sustainable future, now. We're moving our energy in the right direction, one little big step at a time. Join us in our mission to bring feel-good energy. We're also here to make this whole energy thing way easier for our customers. Like, really easy. That means providing exceptional service and using state-of-the-art tech to do it. Are you a visionary Data Scientist ready to take on a pivotal role in shaping the future of energy innovation? E.ON Next is seeking an exceptional individual to join our team as a Senior Data Scientist. If you have a proven track record of managing end-to-end projects, a knack for communicating complex technical concepts to non-technical stakeholders, and expertise in predictive modeling, segmentation, and AI, we want to hear from you! At E.ON Next, you'll have the opportunity to leverage your skills in Databricks and PySpark to tackle operational and customer experience-related challenges, driving impactful solutions in a dynamic and collaborative environment. Join us in revolutionising the energy sector and building a sustainable future for generations to come. Apply now to embark on an exciting journey with E.ON Next! We have a broad remit and are recruiting across different business areas. Our projects can range from very complex analyses, to machine learning models, to automated AI solutions developed and deployed in the cloud. As a Senior Data Scientist at E.ON Next, you will be at the forefront of transforming raw data into actionable insights that drive business growth and enhance customer satisfaction. Your primary responsibilities will include: Managing end-to-end data science projects, from problem formulation to model deployment. Effectively communicating complex technical concepts to non-technical stakeholders and fostering strong business partnerships. Leveraging predictive modeling, segmentation techniques, and advanced AI algorithms to unlock valuable insights. Demonstrating proficiency in Databricks and PySpark to streamline data processing and analysis. A taste of what you'll be doing: Consultative Leadership: Build a strategic understanding of the business, employ a consultative approach to distil complex requirements into robust data science models such as regression and propensity models, time-series modelling, ensemble methods, or neural networks for optimal decision-making. Spearhead initiatives with cross-functional stakeholders. Opportunity Identification: Partner with business stakeholders to unearth untapped data science applications utilising the latest techniques (e.g. NLP and Gen AI). Impact Driven: Act as the go-to authority for data products and advanced algorithmic solutions. Your expertise will span from classical models to modern Machine Learning techniques. You can flex what you know to fit the situation and add business value. Insightful Storytelling: Masterful in elucidating complex data narratives through sophisticated visualisations and dashboards, targeting senior-level stakeholders with clarity and impact. You can translate the model output into actionable insights. Technical Project Leadership: Take command of intricate data projects from end-to-end, employing best practice principles from data wrangling to model tuning and deployment. Oversee these from inception to completion with minimal oversight. Talent Development: Actively coach and mentor more junior data scientists. Foster a culture of innovation, best practices, and peer-review within the team. A bit about you: Minimum 4 years' hands-on experience as a Data Scientist Proven experience managing projects end-to-end, with tangible results. Strong communication skills with the ability to engage with non-technical stakeholders. Expertise in predictive modeling, segmentation, and AI techniques. Proficiency in Databricks and PySpark for data manipulation and analysis. Experience solving operational or customer experience-related problems such as workforce management, demand forecasting, or root cause analysis. BSc or MSc in a quantitative discipline eg. Statistics, Mathematics, Physics, Machine Learning Deep expertise in Python (production-level) and SQL Proficiency in machine learning libraries (eg. Pandas, scikit-learn, TensorFlow) and experience with MLOps frameworks for model deployment Strong visualisation skills including experience with Tableau Familiarity with Git-based source control methodologies, including branching and pull requests Exceptional communication skills; you can make complex messages digestible to different audiences and influence colleagues, collaborators, and stakeholders Bonus points for: While not mandatory, familiarity with the energy sector would be advantageous. Here's what else you need to know Closing date - Friday 10th May 2024 We'll have regular team socials and lively team chats Competitive salary Location - London with travel to our other sites when required. Working environment: Flexible hybrid working - a blend of in the office and home working. 26 days holiday plus bank holidays each year - this includes a guaranteed day off for your birthday if you want it. Generous pension scheme (you contribute 5%, we contribute 6%, increasing to 10% after 2 years) The chance to choose from our award-winning Flexible Benefits package which includes the option to buy up to 10 days holiday a year. We've exciting opportunities for everyone to develop their talent at E.ON. Our open access, inclusive talent networks provide networking, learning and development for all, building your skills, qualifications, and capabilities throughout your career. For all successful candidates. Due to the nature of this role your employment will be subject to a basic DBS (Disclosure Barring Service) check being carried out by ourselves via a 3rd party service provider We're committed to equal opportunities and actively promote a diverse and inclusive working environment, and fairness for everyone. We realise the best people bring their energy at different times, so we're happy to talk flexible working. We offer a range of flexible working options, including full time, part time, job share, remote working and variable start and finishing times.
Apr 26, 2024
Full time
Bringing that feel-good energy. We're the newest face amongst the E.ON group of companies. E.ON Next is all about creating a sustainable future, now. We're moving our energy in the right direction, one little big step at a time. Join us in our mission to bring feel-good energy. We're also here to make this whole energy thing way easier for our customers. Like, really easy. That means providing exceptional service and using state-of-the-art tech to do it. Are you a visionary Data Scientist ready to take on a pivotal role in shaping the future of energy innovation? E.ON Next is seeking an exceptional individual to join our team as a Senior Data Scientist. If you have a proven track record of managing end-to-end projects, a knack for communicating complex technical concepts to non-technical stakeholders, and expertise in predictive modeling, segmentation, and AI, we want to hear from you! At E.ON Next, you'll have the opportunity to leverage your skills in Databricks and PySpark to tackle operational and customer experience-related challenges, driving impactful solutions in a dynamic and collaborative environment. Join us in revolutionising the energy sector and building a sustainable future for generations to come. Apply now to embark on an exciting journey with E.ON Next! We have a broad remit and are recruiting across different business areas. Our projects can range from very complex analyses, to machine learning models, to automated AI solutions developed and deployed in the cloud. As a Senior Data Scientist at E.ON Next, you will be at the forefront of transforming raw data into actionable insights that drive business growth and enhance customer satisfaction. Your primary responsibilities will include: Managing end-to-end data science projects, from problem formulation to model deployment. Effectively communicating complex technical concepts to non-technical stakeholders and fostering strong business partnerships. Leveraging predictive modeling, segmentation techniques, and advanced AI algorithms to unlock valuable insights. Demonstrating proficiency in Databricks and PySpark to streamline data processing and analysis. A taste of what you'll be doing: Consultative Leadership: Build a strategic understanding of the business, employ a consultative approach to distil complex requirements into robust data science models such as regression and propensity models, time-series modelling, ensemble methods, or neural networks for optimal decision-making. Spearhead initiatives with cross-functional stakeholders. Opportunity Identification: Partner with business stakeholders to unearth untapped data science applications utilising the latest techniques (e.g. NLP and Gen AI). Impact Driven: Act as the go-to authority for data products and advanced algorithmic solutions. Your expertise will span from classical models to modern Machine Learning techniques. You can flex what you know to fit the situation and add business value. Insightful Storytelling: Masterful in elucidating complex data narratives through sophisticated visualisations and dashboards, targeting senior-level stakeholders with clarity and impact. You can translate the model output into actionable insights. Technical Project Leadership: Take command of intricate data projects from end-to-end, employing best practice principles from data wrangling to model tuning and deployment. Oversee these from inception to completion with minimal oversight. Talent Development: Actively coach and mentor more junior data scientists. Foster a culture of innovation, best practices, and peer-review within the team. A bit about you: Minimum 4 years' hands-on experience as a Data Scientist Proven experience managing projects end-to-end, with tangible results. Strong communication skills with the ability to engage with non-technical stakeholders. Expertise in predictive modeling, segmentation, and AI techniques. Proficiency in Databricks and PySpark for data manipulation and analysis. Experience solving operational or customer experience-related problems such as workforce management, demand forecasting, or root cause analysis. BSc or MSc in a quantitative discipline eg. Statistics, Mathematics, Physics, Machine Learning Deep expertise in Python (production-level) and SQL Proficiency in machine learning libraries (eg. Pandas, scikit-learn, TensorFlow) and experience with MLOps frameworks for model deployment Strong visualisation skills including experience with Tableau Familiarity with Git-based source control methodologies, including branching and pull requests Exceptional communication skills; you can make complex messages digestible to different audiences and influence colleagues, collaborators, and stakeholders Bonus points for: While not mandatory, familiarity with the energy sector would be advantageous. Here's what else you need to know Closing date - Friday 10th May 2024 We'll have regular team socials and lively team chats Competitive salary Location - London with travel to our other sites when required. Working environment: Flexible hybrid working - a blend of in the office and home working. 26 days holiday plus bank holidays each year - this includes a guaranteed day off for your birthday if you want it. Generous pension scheme (you contribute 5%, we contribute 6%, increasing to 10% after 2 years) The chance to choose from our award-winning Flexible Benefits package which includes the option to buy up to 10 days holiday a year. We've exciting opportunities for everyone to develop their talent at E.ON. Our open access, inclusive talent networks provide networking, learning and development for all, building your skills, qualifications, and capabilities throughout your career. For all successful candidates. Due to the nature of this role your employment will be subject to a basic DBS (Disclosure Barring Service) check being carried out by ourselves via a 3rd party service provider We're committed to equal opportunities and actively promote a diverse and inclusive working environment, and fairness for everyone. We realise the best people bring their energy at different times, so we're happy to talk flexible working. We offer a range of flexible working options, including full time, part time, job share, remote working and variable start and finishing times.