Our vision is to be the universal symbol of trust, bringing consumers and businesses together through reviews. We are well on our way-but there's still an exciting journey ahead. Join us at the heart of trust. At Trustpilot, we are at the forefront of revolutionizing the Product space. As we propel towards becoming the engine for Product-oriented growth, we are searching for innovative professionals like you to join us on this remarkable journey. Our team comprises strategic leaders in product development, motivated by an unwavering commitment to delivering unmatched customer value at scale. We need an experienced and skilled Senior Product Manager to take charge of owning the discovery and execution of our strategic global roadmaps. If you are enthusiastic about implementing innovation, eager to take ownership of significant projects, and keen on making a global impact, this is the opportunity you've been waiting for. Join Trustpilot's Product Management team and have an integral part in shaping the future of our diverse and rapidly growing organization. Together, let's push the boundaries of what's possible in the Product space and create a lasting impact on our users worldwide. We are currently hiring within our Trust & Transparency team. A huge part of what we do at Trustpilot is Trust (it's in the name!). We need to ensure that the content on our platform is real content from real people. That means eliminating scam and spam, and identifying fraudulent behaviour. We have several cross functional teams devoted to Trust such as Content Integrity to discover fraudulent activity, and data scientists working on spam models. What you'll be doing: Lead cross-functional agile teams, including remote members, through the entire product lifecycle. Take ownership of product discovery, strategic roadmaps, and execution while aligning them with business goals and customer needs. Collaborate with designers, engineers, data scientists, and other key stakeholders to develop new features and optimize existing products. Prioritize new features and enhancements using robust product management frameworks. Conduct in-depth user research and leverage data insights to define problems and validate solutions. Drive decision-making by setting clear priorities and using data (quantitative and qualitative) to measure success. Communicate product strategy, status updates, and potential risks to executive leadership and internal teams. Cultivate solid connections between the sales, marketing, and customer service departments to promote product-focused mindsets across the enterprise. Inspire and motivate teams to achieve their best performance, establishing a culture of high collaboration and innovation. We are looking for people with: Significant product management experience working within agile teams, with a proven history of delivering effective digital products. Comprehensive understanding of product management principles, including product strategy, roadmap development, and agile methodologies (Scrum, Kanban). Demonstrated experience working in cross-functional teams and leading through influence, not authority. Expertise in user research, A/B testing, and data analysis to guide decision-making and product development. Skilled in critical assessment and oversight, with expertise in setting up and supervising key performance indicators and measures of achievement. Experience working on B2B or B2C products, ideally in areas such as eCommerce platforms, marketing automation, or customer engagement. Passion for emerging technologies such as AI/ChatGPT and their application in product innovation and user experience. Great communication and stakeholder management skills, with the ability to align diverse teams around a common vision. What's in it for you? A range of flexible working options to dedicate time to what matters to you Competitive compensation package + bonus 25 days holiday per year, increasing to 28 days after 2 years of employment Two (paid) volunteering days a year to spend your time giving back to the causes that matter to you and your community Rich learning and development opportunities are supported through the Trustpilot Academy, LinkedIn Learning, and Blinkist Pension and life insurance Health cash plan, online GP, 24/7, Employee Assistance Plan Full access to Headspace, a popular mindfulness app to promote positive mental health Paid parental leave Season ticket loan and a cycle-to-work scheme Central office location complete with table tennis, a gaming corner, coffee bars and all the snacks and refreshments you can ask for Regular opportunities to connect and get to know your fellow Trusties, including company-wide celebrations and events, ERG activities, and team socials. Access to over 4,000 deals and discounts on things like travel, electronics, fashion, fitness, cinema discounts, and more. Independent financial advice and free standard professional mortgage broker advice Still not sure We want to be a part of creating a more diverse, equitable, and inclusive world of work for all. We're excited to hear about your experiences as well as how you will contribute to our working culture. So, even if you don't feel you don't meet all the requirements, we'd still really like to hear from you! About us Trustpilot began in 2007 with a simple yet powerful idea that is more relevant today than ever - to be the universal symbol of trust, bringing consumers and businesses together through reviews. Trustpilot is open, independent, and impartial - we help consumers make the right choices and businesses to build trust, grow and improve. Today, we have more than 300 million reviews and 67 million monthly active users across the globe, with 127 billion annual Trustpilot brand impressions, and the numbers keep growing. We have more than 900 employees and we're headquartered in Copenhagen, with operations in Amsterdam, Denver, Edinburgh, Hamburg, London, Melbourne, Milan and New York. We're driven by connection. It's at the heart of what we do. Our culture keeps things fresh it's built on the relationships we create. We talk, we laugh, we collaborate and we respect each other. We work across borders and cultures to be the universal symbol of trust in an ever-changing world. With vibrant office locations worldwide and over 50 nationalities, we're proud to be an equal opportunity workplace with diverse perspectives and ideas. Our purpose to help people and businesses help each other is a tall order, but we keep it real. We're a great bunch of humans, doing awesome stuff, without fuss or pretense. A successful Trustpilot future is driven by you we give you the autonomy to shape a career you can be proud of. If you're ready to grow, let's go. Join us at the heart of trust. Trustpilot is committed to creating an inclusive environment where people from all backgrounds can thrive and where different viewpoints and experiences are valued and respected. Trustpilot will consider all applications for employment without regard to race, ethnicity, national origin, religious beliefs, gender identity or expression, sexual orientation, neurodiversity, disability, age, parental or veteran status. Together, we are the heart of trust. Trustpilot is a global company and our data practices are designed to ensure that your personally identifiable information is appropriately protected. Please note that your personal information will be transferred, accessed, and stored globally as necessary for the uses and disclosures stated in our Privacy Policy.
Jan 25, 2025
Full time
Our vision is to be the universal symbol of trust, bringing consumers and businesses together through reviews. We are well on our way-but there's still an exciting journey ahead. Join us at the heart of trust. At Trustpilot, we are at the forefront of revolutionizing the Product space. As we propel towards becoming the engine for Product-oriented growth, we are searching for innovative professionals like you to join us on this remarkable journey. Our team comprises strategic leaders in product development, motivated by an unwavering commitment to delivering unmatched customer value at scale. We need an experienced and skilled Senior Product Manager to take charge of owning the discovery and execution of our strategic global roadmaps. If you are enthusiastic about implementing innovation, eager to take ownership of significant projects, and keen on making a global impact, this is the opportunity you've been waiting for. Join Trustpilot's Product Management team and have an integral part in shaping the future of our diverse and rapidly growing organization. Together, let's push the boundaries of what's possible in the Product space and create a lasting impact on our users worldwide. We are currently hiring within our Trust & Transparency team. A huge part of what we do at Trustpilot is Trust (it's in the name!). We need to ensure that the content on our platform is real content from real people. That means eliminating scam and spam, and identifying fraudulent behaviour. We have several cross functional teams devoted to Trust such as Content Integrity to discover fraudulent activity, and data scientists working on spam models. What you'll be doing: Lead cross-functional agile teams, including remote members, through the entire product lifecycle. Take ownership of product discovery, strategic roadmaps, and execution while aligning them with business goals and customer needs. Collaborate with designers, engineers, data scientists, and other key stakeholders to develop new features and optimize existing products. Prioritize new features and enhancements using robust product management frameworks. Conduct in-depth user research and leverage data insights to define problems and validate solutions. Drive decision-making by setting clear priorities and using data (quantitative and qualitative) to measure success. Communicate product strategy, status updates, and potential risks to executive leadership and internal teams. Cultivate solid connections between the sales, marketing, and customer service departments to promote product-focused mindsets across the enterprise. Inspire and motivate teams to achieve their best performance, establishing a culture of high collaboration and innovation. We are looking for people with: Significant product management experience working within agile teams, with a proven history of delivering effective digital products. Comprehensive understanding of product management principles, including product strategy, roadmap development, and agile methodologies (Scrum, Kanban). Demonstrated experience working in cross-functional teams and leading through influence, not authority. Expertise in user research, A/B testing, and data analysis to guide decision-making and product development. Skilled in critical assessment and oversight, with expertise in setting up and supervising key performance indicators and measures of achievement. Experience working on B2B or B2C products, ideally in areas such as eCommerce platforms, marketing automation, or customer engagement. Passion for emerging technologies such as AI/ChatGPT and their application in product innovation and user experience. Great communication and stakeholder management skills, with the ability to align diverse teams around a common vision. What's in it for you? A range of flexible working options to dedicate time to what matters to you Competitive compensation package + bonus 25 days holiday per year, increasing to 28 days after 2 years of employment Two (paid) volunteering days a year to spend your time giving back to the causes that matter to you and your community Rich learning and development opportunities are supported through the Trustpilot Academy, LinkedIn Learning, and Blinkist Pension and life insurance Health cash plan, online GP, 24/7, Employee Assistance Plan Full access to Headspace, a popular mindfulness app to promote positive mental health Paid parental leave Season ticket loan and a cycle-to-work scheme Central office location complete with table tennis, a gaming corner, coffee bars and all the snacks and refreshments you can ask for Regular opportunities to connect and get to know your fellow Trusties, including company-wide celebrations and events, ERG activities, and team socials. Access to over 4,000 deals and discounts on things like travel, electronics, fashion, fitness, cinema discounts, and more. Independent financial advice and free standard professional mortgage broker advice Still not sure We want to be a part of creating a more diverse, equitable, and inclusive world of work for all. We're excited to hear about your experiences as well as how you will contribute to our working culture. So, even if you don't feel you don't meet all the requirements, we'd still really like to hear from you! About us Trustpilot began in 2007 with a simple yet powerful idea that is more relevant today than ever - to be the universal symbol of trust, bringing consumers and businesses together through reviews. Trustpilot is open, independent, and impartial - we help consumers make the right choices and businesses to build trust, grow and improve. Today, we have more than 300 million reviews and 67 million monthly active users across the globe, with 127 billion annual Trustpilot brand impressions, and the numbers keep growing. We have more than 900 employees and we're headquartered in Copenhagen, with operations in Amsterdam, Denver, Edinburgh, Hamburg, London, Melbourne, Milan and New York. We're driven by connection. It's at the heart of what we do. Our culture keeps things fresh it's built on the relationships we create. We talk, we laugh, we collaborate and we respect each other. We work across borders and cultures to be the universal symbol of trust in an ever-changing world. With vibrant office locations worldwide and over 50 nationalities, we're proud to be an equal opportunity workplace with diverse perspectives and ideas. Our purpose to help people and businesses help each other is a tall order, but we keep it real. We're a great bunch of humans, doing awesome stuff, without fuss or pretense. A successful Trustpilot future is driven by you we give you the autonomy to shape a career you can be proud of. If you're ready to grow, let's go. Join us at the heart of trust. Trustpilot is committed to creating an inclusive environment where people from all backgrounds can thrive and where different viewpoints and experiences are valued and respected. Trustpilot will consider all applications for employment without regard to race, ethnicity, national origin, religious beliefs, gender identity or expression, sexual orientation, neurodiversity, disability, age, parental or veteran status. Together, we are the heart of trust. Trustpilot is a global company and our data practices are designed to ensure that your personally identifiable information is appropriately protected. Please note that your personal information will be transferred, accessed, and stored globally as necessary for the uses and disclosures stated in our Privacy Policy.
Duration: 6-month contract position Rate: inside IR35 Hours: 37.5 hours per week. Location: Remote, option to go into the office once a month About the Role: This exciting opportunity with one of our clients who is a globally recognised name within food and nutrition is for a Senior Data Scientist to join the Talent Management Center of Excellence (COE) at a leading global organization. The COE is dedicated to attracting and retaining top talent, focusing on career development, performance management, leadership development, and manager capability. This role will significantly impact organizational success by leveraging data insights to enhance the manager experience and overall productivity. Key Responsibilities: Data Collection and Processing: Gather, clean, validate, and prepare data from diverse sources including surveys, focus groups, reports, databases, and feedback platforms for in-depth analysis. Data Analysis: Employ advanced statistical methods and data visualization to interpret data, uncover trends, and create actionable insights. Lead the development of analytical approaches, collaborating with data engineers, business leaders, and developers to build robust, scalable, and easily interpretable data models. Reporting and Visualization: Create clear, concise reports and dashboards utilizing tools like Power BI, REACT, or Excel. Work collaboratively with the Talent Marketplace adoption manager to refine and optimize existing reports. Collaboration: Partner closely with cross-functional teams (Segment Talent, P&O Business Partners, MGS reporting, Culture COE) to understand their data requirements and deliver impactful, data-driven solutions. Actively participate in projects focused on improving manager satisfaction and engagement. Communication: Effectively communicate data findings, analytic approaches, and their implications to business partners. Advocate for data-driven decision-making and clearly explain complex analysis. Process Improvement: Analyze processes and identify areas for optimization based on data insights to improve manager experience. Data System Management: Maintain data integrity, ensure efficient data systems operations, and leverage your understanding of data architecture to build innovative features combining both internal and external data sources. Predictive Analysis: Utilize predictive modeling techniques to anticipate future trends and recommend data-driven strategies to guide HR initiatives. Qualifications: Experience: Proven experience in a data science role or comparable experience. Expertise in statistical modeling (e.g., significance testing, GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis) using tools such as Spark, Scala, SAS, R, Python, Bayesia, H2O, Storm, Yarn, and Kafka. Proven experience querying databases using SQL and Hive. Hands-on experience working with large datasets using big data platforms like Hadoop ecosystem (Azure), and in-memory solutions (SAP HANA and Apache Spark). Proficient in data visualization tools such as Tableau, Power BI, D3, or ggplot. Skills: Data Science, Algorithms, Data Analysis, NLP, Statistics, Data Visualization, Project Management, Planning & Organizing, Document Preparation Competencies: Ensures Accountability, Plans and Aligns, Action-Oriented, Tech Savvy, Business Insight, Optimizes Work Processes, Cultivates Innovation, Drives Engagement, Manages Complexity, Situational Adaptability DE&I We are committed to providing equal employment opportunities and encourage all qualified candidates to apply. While the hiring process may not be expedited, we urge all interested candidates to submit their applications promptly to ensure their consideration.
Jan 25, 2025
Contractor
Duration: 6-month contract position Rate: inside IR35 Hours: 37.5 hours per week. Location: Remote, option to go into the office once a month About the Role: This exciting opportunity with one of our clients who is a globally recognised name within food and nutrition is for a Senior Data Scientist to join the Talent Management Center of Excellence (COE) at a leading global organization. The COE is dedicated to attracting and retaining top talent, focusing on career development, performance management, leadership development, and manager capability. This role will significantly impact organizational success by leveraging data insights to enhance the manager experience and overall productivity. Key Responsibilities: Data Collection and Processing: Gather, clean, validate, and prepare data from diverse sources including surveys, focus groups, reports, databases, and feedback platforms for in-depth analysis. Data Analysis: Employ advanced statistical methods and data visualization to interpret data, uncover trends, and create actionable insights. Lead the development of analytical approaches, collaborating with data engineers, business leaders, and developers to build robust, scalable, and easily interpretable data models. Reporting and Visualization: Create clear, concise reports and dashboards utilizing tools like Power BI, REACT, or Excel. Work collaboratively with the Talent Marketplace adoption manager to refine and optimize existing reports. Collaboration: Partner closely with cross-functional teams (Segment Talent, P&O Business Partners, MGS reporting, Culture COE) to understand their data requirements and deliver impactful, data-driven solutions. Actively participate in projects focused on improving manager satisfaction and engagement. Communication: Effectively communicate data findings, analytic approaches, and their implications to business partners. Advocate for data-driven decision-making and clearly explain complex analysis. Process Improvement: Analyze processes and identify areas for optimization based on data insights to improve manager experience. Data System Management: Maintain data integrity, ensure efficient data systems operations, and leverage your understanding of data architecture to build innovative features combining both internal and external data sources. Predictive Analysis: Utilize predictive modeling techniques to anticipate future trends and recommend data-driven strategies to guide HR initiatives. Qualifications: Experience: Proven experience in a data science role or comparable experience. Expertise in statistical modeling (e.g., significance testing, GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis) using tools such as Spark, Scala, SAS, R, Python, Bayesia, H2O, Storm, Yarn, and Kafka. Proven experience querying databases using SQL and Hive. Hands-on experience working with large datasets using big data platforms like Hadoop ecosystem (Azure), and in-memory solutions (SAP HANA and Apache Spark). Proficient in data visualization tools such as Tableau, Power BI, D3, or ggplot. Skills: Data Science, Algorithms, Data Analysis, NLP, Statistics, Data Visualization, Project Management, Planning & Organizing, Document Preparation Competencies: Ensures Accountability, Plans and Aligns, Action-Oriented, Tech Savvy, Business Insight, Optimizes Work Processes, Cultivates Innovation, Drives Engagement, Manages Complexity, Situational Adaptability DE&I We are committed to providing equal employment opportunities and encourage all qualified candidates to apply. While the hiring process may not be expedited, we urge all interested candidates to submit their applications promptly to ensure their consideration.
Senior Scientist - Industrial Control System Cyber Security 12 month contract (extension possible) Newport - 3 days onsite £45 per hour, inside IR35 (umbrella) Subject to BPSS check Accountabilities This jobholder will undertake cutting-edge digital security research and innovation activities with the ultimate goal of developing solutions to the business problems for which a solution doesn t currently exist. Furthermore, the jobholder will build and maintain awareness and knowledge of best-practice technology trends and commercially available digital security solutions. Accountable for activities in each of the following areas: Coordination : Coordinate Cyber Security innovation across the business to maximise alignment. Build and maintain a working network across the business among subject matter peers and stakeholders. Undertake internal & external engagements on behalf of the digital security office. Collaboration : Collaborate in Cyber Security innovation activities with internal peers, to ensure cyber security is considered in joint projects and deliverables. Consultancy : Provide consultancy services on your specialist area of Cyber Security innovation across the business to ensure knowledge transfer and ensure. Innovation : Deliver innovation projects, activity reports and presentations to cost, quality and time constraints. Build and maintain a research network to support the specialist Cyber Security subject. Support the development and maintenance of a Cyber Innovation Roadmap for your specialist area to capture future threats, opportunities and potential projects. Main activities Coordination : Provide significant contributions to the transition of innovation knowledge and technologies into internal business and digital security operations, including training, presentations and reports. Participate in a group-wide cyber innovation steering body. Attend and contribute to conferences and events (business / academic). Collaboration : Support external digital security innovation agreements, collaborations and partnerships with specialist subject expertise and industrial / context-of-use guidance. Provide expert services (consultancy) to the internal business on the specialist cyber subject, and as required. Consultancy : Contribute knowledge and advice on cyber aspects of your specialist topic to internal peers across the business and digital security operations. Manage onboarding and offboarding from projects for optimal use of time and resources. Innovation : Undertake state of the art research projects into digital security topics of interest in support of the business, in partnership with the other members of the Cyber Security Innovation team. Maintain awareness of marketed solutions, innovation and gaps, then address gaps by developing and internally marketing prototype solutions. Collaborate with academic partners on research, and provide industrial steering. Contribute to academic funding bids, internally and with academic contacts. Publish technical reports, white papers, patents, academic articles, etc. Outputs Prototype solutions, software, configurations, shared expertise. Horizon scans, market studies, technical reports. Internal & external proposals Profile We are looking for a friendly, enthusiastic, well organised and self-motivated colleague with a personal drive to analyse, innovate and create. The eventual role holder will substantially align with the following criteria (in particular with the Must Haves ). Academic : Must Have : Bachelors degree in Comp Sci, Comms & Networking, Cyber or similar. Recent PhD or Masters relevant to _ICS Cyber Security_. Advantage : Professional training / certifications and experience in Cyber Security. Experience : Must Have : Industrial Control Security Experience of research, innovation and/or solution development. Advantage : Experience of managing digital security and/or R&I projects. Cyber industry publication (blogs, SANS articles etc). Network Security, Cloud Security. Research Skills : Must Have : Excellent report writing and presentation skills. Excellent spoken and written English. Advantage : Academic publication track record. Recent Cyber Security research publications. Managing NDAs, IPR, Patent Applications. Spoken & written French / German. Technical skills : Advantage : Programming, esp. Python. Design & configuration of IP networks including virtualised infrastructure. Experience configuring network firewalls, IDS, IPS, Honeypots etc. Deep insight into network cyber attacks and their mitigation. Basic software development / scripting / web apps, e.g. Python, Rust. Certifications such as Cisco R&S / CCNA / CCNA-S Data Analytics / AI/ML applied to Network Security (tools & techniques).
Jan 24, 2025
Contractor
Senior Scientist - Industrial Control System Cyber Security 12 month contract (extension possible) Newport - 3 days onsite £45 per hour, inside IR35 (umbrella) Subject to BPSS check Accountabilities This jobholder will undertake cutting-edge digital security research and innovation activities with the ultimate goal of developing solutions to the business problems for which a solution doesn t currently exist. Furthermore, the jobholder will build and maintain awareness and knowledge of best-practice technology trends and commercially available digital security solutions. Accountable for activities in each of the following areas: Coordination : Coordinate Cyber Security innovation across the business to maximise alignment. Build and maintain a working network across the business among subject matter peers and stakeholders. Undertake internal & external engagements on behalf of the digital security office. Collaboration : Collaborate in Cyber Security innovation activities with internal peers, to ensure cyber security is considered in joint projects and deliverables. Consultancy : Provide consultancy services on your specialist area of Cyber Security innovation across the business to ensure knowledge transfer and ensure. Innovation : Deliver innovation projects, activity reports and presentations to cost, quality and time constraints. Build and maintain a research network to support the specialist Cyber Security subject. Support the development and maintenance of a Cyber Innovation Roadmap for your specialist area to capture future threats, opportunities and potential projects. Main activities Coordination : Provide significant contributions to the transition of innovation knowledge and technologies into internal business and digital security operations, including training, presentations and reports. Participate in a group-wide cyber innovation steering body. Attend and contribute to conferences and events (business / academic). Collaboration : Support external digital security innovation agreements, collaborations and partnerships with specialist subject expertise and industrial / context-of-use guidance. Provide expert services (consultancy) to the internal business on the specialist cyber subject, and as required. Consultancy : Contribute knowledge and advice on cyber aspects of your specialist topic to internal peers across the business and digital security operations. Manage onboarding and offboarding from projects for optimal use of time and resources. Innovation : Undertake state of the art research projects into digital security topics of interest in support of the business, in partnership with the other members of the Cyber Security Innovation team. Maintain awareness of marketed solutions, innovation and gaps, then address gaps by developing and internally marketing prototype solutions. Collaborate with academic partners on research, and provide industrial steering. Contribute to academic funding bids, internally and with academic contacts. Publish technical reports, white papers, patents, academic articles, etc. Outputs Prototype solutions, software, configurations, shared expertise. Horizon scans, market studies, technical reports. Internal & external proposals Profile We are looking for a friendly, enthusiastic, well organised and self-motivated colleague with a personal drive to analyse, innovate and create. The eventual role holder will substantially align with the following criteria (in particular with the Must Haves ). Academic : Must Have : Bachelors degree in Comp Sci, Comms & Networking, Cyber or similar. Recent PhD or Masters relevant to _ICS Cyber Security_. Advantage : Professional training / certifications and experience in Cyber Security. Experience : Must Have : Industrial Control Security Experience of research, innovation and/or solution development. Advantage : Experience of managing digital security and/or R&I projects. Cyber industry publication (blogs, SANS articles etc). Network Security, Cloud Security. Research Skills : Must Have : Excellent report writing and presentation skills. Excellent spoken and written English. Advantage : Academic publication track record. Recent Cyber Security research publications. Managing NDAs, IPR, Patent Applications. Spoken & written French / German. Technical skills : Advantage : Programming, esp. Python. Design & configuration of IP networks including virtualised infrastructure. Experience configuring network firewalls, IDS, IPS, Honeypots etc. Deep insight into network cyber attacks and their mitigation. Basic software development / scripting / web apps, e.g. Python, Rust. Certifications such as Cisco R&S / CCNA / CCNA-S Data Analytics / AI/ML applied to Network Security (tools & techniques).
Chief Technology Officer, London with Middle East travel About us CF is a leading consultancy dedicated to making a lasting impact on health and healthcare. We work with leaders and frontline teams to improve health, transform healthcare, embed life science innovation and boost growth through investment. Our consultancy serves the entire healthcare sector, from healthcare systems and life sciences to health tech and sector suppliers. CF's multi-disciplinary team provides end-to-end services, spanning strategy, finance, performance, organisational improvement, data and digital. As an inclusive and values-driven organisation, we are committed to excellence and are honoured to have received multiple industry awards. With unmatched access to UK healthcare data and specialist data science expertise, our consultants are a driving force for delivering positive and meaningful change. About the role As the Chief Technology Officer (CTO) at CF, you'll be the senior technical leader, driving technology strategy and innovation to support our company's goals. In this key role, you will lead the development and implementation of technology solutions that enhance our services and improve the way we work, ensuring they deliver measurable impact, increase efficiencies, and maximize value for both our clients and CF. Your expertise will be vital in creating solutions not only for our clients but also for our management consulting teams, helping them deliver more effective service, as well as for our internal operations. You'll work closely with clients, colleagues across CF (both technical and non-technical), and our external partners to understand requirements and deliver highly effective solutions. Leading our Data Innovation Team, which includes both a data operations group and technical consultants (data scientists, engineers, software developers), you'll be at the forefront of harnessing data to drive business growth. Your leadership will involve providing oversight, direction, mentorship, and quality assurance, ensuring seamless collaboration with project leaders. Additionally, you'll be responsible for accrediting and managing trusted associates who work with us throughout the year. As CTO, your role will also be pivotal in supporting business development for technical services. You'll collaborate with Partners to build client relationships, form partnerships, contribute to proposals, and plan resources. You'll have the opportunity to position yourself as a trusted industry expert by offering thought leadership and representing CF at networking events and conferences. Staying on top of emerging technologies will be essential in keeping CF at the cutting edge of the healthcare sector. Adaptability and agility are key, as you'll be navigating rapidly evolving priorities and leveraging new opportunities to help CF grow. You'll also ensure the company's tech infrastructure is robust and scalable, working alongside the Partner responsible for Office and Facilities Management and overseeing critical areas like cyber security, ISO 27001 certification, and data protection processes to meet client expectations. On the commercial side, you'll be responsible for the financial performance of the Data Innovation Team, including meeting revenue targets, managing the technology budget, and identifying cost efficiencies. You'll evaluate and recommend technology investments, manage contracts, and mitigate financial risks to maximize company performance. Responsibilities The requirements, responsibilities and duties of the role will include, but are not limited to: Strategy Own the technology strategy that harmonises with and underpins the corporate strategy Collaborating with the corporate team, convert the strategy into the annual business plan for the data innovation team, and set quarterly OKRs for the team to drive its delivery Discover and implement new technologies that yield competitive advantage Spot emerging market trends and disruptions to drive development of CF solutions that address future client challenges Create optimal policy conditions for healthcare advancements through evidence-based thought leadership, taking a proactive stance on key issues Develop and execute plans for evidence generation using real world data Identify and gain access to data that underpins the corporate strategy and understand what is possible to do within safe grounds of information governance Keep abreast of the frontier of AI and other new technologies as they apply to the business itself and the markets we support, and ensure they are adopted and integrated into CF's services and ways of working Identify, develop and maintain key strategic partnerships which enable CF to remain at the cutting edge of technology and present new business opportunities. Business development Grow and nurture a network of technical and technically minded leaders across the breadth of the markets CF serves including clients and data/technology partners Develop a compelling and distinctive personal brand within the data, AI and technology fields valued by CF clients, with a growing reputation as a trusted advisor and thought leader Promote CF as a technology innovator through channels such as networking events, speaking at conferences, organising tech meet-ups and LinkedIn Spot emerging market trends and disruptions to drive development of CF solutions that address future client challenges Support business development activities including proposal development, engaging with prospective clients and pitching for work. Financial management Own the data innovation team revenue target and collaborate with Partners to ensure it is met Manage the financial performance of the data innovation team, ensuring it is profitable and acting with foresight and agility to respond to downturns in performance Manage the technology budget, ensuring strategic resource allocation to achieve objectives while optimising for cost-efficiency Client delivery Collaborates with senior clients to understand their needs and directs teams to produce solutions that have a demonstrable impact in meeting these needs Oversee the development of workplans to deliver on agreed objectives, enabling technical and consulting teams to understand the requirements for delivery Supervise technical and hybrid teams to manage delivery according to agreed timeline and deliverables, ensuring that projects are run to time and resources Bring together the disciplines of data engineering, data science and software engineering to deliver better results Support teams in effective integrated working between consulting and technical teams, setting standardised operating processes to ensure effective operations, and developing the technical knowledge of consulting team members to enable collaboration. Data operations and infrastructure Provide direction to the evolution of data operations in line with corporate strategies and emerging market trends Support the data operations function with the design of technical architecture and infrastructure necessary for scalability, security, reliability and cost effectiveness Lead the development of CF tools and insights, to ensure CF maintains a competitive edge in the use of data in its consulting Develop and maintain internal and external software and infrastructure Engage with consulting leaders to ensure that data operations efficiently meets their needs and maximises our impact with clients. Cyber security and information governance compliance Own the operational elements of cyber security and information governance to ensure safe access to healthcare data within agreed legal and policy frameworks, working in conjunction with the Partner with overall accountability Ensure compliance with data industry standards and regulations Own the build quality assurance process for the internally and externally facing products developed by the team Oversee the data protection processes and ensure these meet the expectations of our clients and partners Be responsible for and lead our ISO 27001 certification, including the development of our information security policies and practices. Team leadership and development Cultivate and lead a high-performing technical team, encouraging collaboration, excellence, innovation, and a culture of ongoing learning and growth Act as a technical mentor for the data innovation team, taking responsibility for the team structure and resource requirements to deliver on the corporate strategy and annual business plan Be the line manager to the most senior colleagues in the data innovation team Provide coaching and mentorship to the wider data innovation team Set out the technical career track and attract technical talent and own the technical requirements for progression within the data innovation team Working with the People Team ensure the training and development offer for data innovation team members contributes to CF being a great place to work Working with the Chief People Officer, understand the technological skills and knowledge required at every level of the company beyond the data innovation team and support the people function to realise these requirements, acting as Faculty for relevant training programmes. . click apply for full job details
Jan 24, 2025
Full time
Chief Technology Officer, London with Middle East travel About us CF is a leading consultancy dedicated to making a lasting impact on health and healthcare. We work with leaders and frontline teams to improve health, transform healthcare, embed life science innovation and boost growth through investment. Our consultancy serves the entire healthcare sector, from healthcare systems and life sciences to health tech and sector suppliers. CF's multi-disciplinary team provides end-to-end services, spanning strategy, finance, performance, organisational improvement, data and digital. As an inclusive and values-driven organisation, we are committed to excellence and are honoured to have received multiple industry awards. With unmatched access to UK healthcare data and specialist data science expertise, our consultants are a driving force for delivering positive and meaningful change. About the role As the Chief Technology Officer (CTO) at CF, you'll be the senior technical leader, driving technology strategy and innovation to support our company's goals. In this key role, you will lead the development and implementation of technology solutions that enhance our services and improve the way we work, ensuring they deliver measurable impact, increase efficiencies, and maximize value for both our clients and CF. Your expertise will be vital in creating solutions not only for our clients but also for our management consulting teams, helping them deliver more effective service, as well as for our internal operations. You'll work closely with clients, colleagues across CF (both technical and non-technical), and our external partners to understand requirements and deliver highly effective solutions. Leading our Data Innovation Team, which includes both a data operations group and technical consultants (data scientists, engineers, software developers), you'll be at the forefront of harnessing data to drive business growth. Your leadership will involve providing oversight, direction, mentorship, and quality assurance, ensuring seamless collaboration with project leaders. Additionally, you'll be responsible for accrediting and managing trusted associates who work with us throughout the year. As CTO, your role will also be pivotal in supporting business development for technical services. You'll collaborate with Partners to build client relationships, form partnerships, contribute to proposals, and plan resources. You'll have the opportunity to position yourself as a trusted industry expert by offering thought leadership and representing CF at networking events and conferences. Staying on top of emerging technologies will be essential in keeping CF at the cutting edge of the healthcare sector. Adaptability and agility are key, as you'll be navigating rapidly evolving priorities and leveraging new opportunities to help CF grow. You'll also ensure the company's tech infrastructure is robust and scalable, working alongside the Partner responsible for Office and Facilities Management and overseeing critical areas like cyber security, ISO 27001 certification, and data protection processes to meet client expectations. On the commercial side, you'll be responsible for the financial performance of the Data Innovation Team, including meeting revenue targets, managing the technology budget, and identifying cost efficiencies. You'll evaluate and recommend technology investments, manage contracts, and mitigate financial risks to maximize company performance. Responsibilities The requirements, responsibilities and duties of the role will include, but are not limited to: Strategy Own the technology strategy that harmonises with and underpins the corporate strategy Collaborating with the corporate team, convert the strategy into the annual business plan for the data innovation team, and set quarterly OKRs for the team to drive its delivery Discover and implement new technologies that yield competitive advantage Spot emerging market trends and disruptions to drive development of CF solutions that address future client challenges Create optimal policy conditions for healthcare advancements through evidence-based thought leadership, taking a proactive stance on key issues Develop and execute plans for evidence generation using real world data Identify and gain access to data that underpins the corporate strategy and understand what is possible to do within safe grounds of information governance Keep abreast of the frontier of AI and other new technologies as they apply to the business itself and the markets we support, and ensure they are adopted and integrated into CF's services and ways of working Identify, develop and maintain key strategic partnerships which enable CF to remain at the cutting edge of technology and present new business opportunities. Business development Grow and nurture a network of technical and technically minded leaders across the breadth of the markets CF serves including clients and data/technology partners Develop a compelling and distinctive personal brand within the data, AI and technology fields valued by CF clients, with a growing reputation as a trusted advisor and thought leader Promote CF as a technology innovator through channels such as networking events, speaking at conferences, organising tech meet-ups and LinkedIn Spot emerging market trends and disruptions to drive development of CF solutions that address future client challenges Support business development activities including proposal development, engaging with prospective clients and pitching for work. Financial management Own the data innovation team revenue target and collaborate with Partners to ensure it is met Manage the financial performance of the data innovation team, ensuring it is profitable and acting with foresight and agility to respond to downturns in performance Manage the technology budget, ensuring strategic resource allocation to achieve objectives while optimising for cost-efficiency Client delivery Collaborates with senior clients to understand their needs and directs teams to produce solutions that have a demonstrable impact in meeting these needs Oversee the development of workplans to deliver on agreed objectives, enabling technical and consulting teams to understand the requirements for delivery Supervise technical and hybrid teams to manage delivery according to agreed timeline and deliverables, ensuring that projects are run to time and resources Bring together the disciplines of data engineering, data science and software engineering to deliver better results Support teams in effective integrated working between consulting and technical teams, setting standardised operating processes to ensure effective operations, and developing the technical knowledge of consulting team members to enable collaboration. Data operations and infrastructure Provide direction to the evolution of data operations in line with corporate strategies and emerging market trends Support the data operations function with the design of technical architecture and infrastructure necessary for scalability, security, reliability and cost effectiveness Lead the development of CF tools and insights, to ensure CF maintains a competitive edge in the use of data in its consulting Develop and maintain internal and external software and infrastructure Engage with consulting leaders to ensure that data operations efficiently meets their needs and maximises our impact with clients. Cyber security and information governance compliance Own the operational elements of cyber security and information governance to ensure safe access to healthcare data within agreed legal and policy frameworks, working in conjunction with the Partner with overall accountability Ensure compliance with data industry standards and regulations Own the build quality assurance process for the internally and externally facing products developed by the team Oversee the data protection processes and ensure these meet the expectations of our clients and partners Be responsible for and lead our ISO 27001 certification, including the development of our information security policies and practices. Team leadership and development Cultivate and lead a high-performing technical team, encouraging collaboration, excellence, innovation, and a culture of ongoing learning and growth Act as a technical mentor for the data innovation team, taking responsibility for the team structure and resource requirements to deliver on the corporate strategy and annual business plan Be the line manager to the most senior colleagues in the data innovation team Provide coaching and mentorship to the wider data innovation team Set out the technical career track and attract technical talent and own the technical requirements for progression within the data innovation team Working with the People Team ensure the training and development offer for data innovation team members contributes to CF being a great place to work Working with the Chief People Officer, understand the technological skills and knowledge required at every level of the company beyond the data innovation team and support the people function to realise these requirements, acting as Faculty for relevant training programmes. . click apply for full job details
Senior Scientist - Human Centric Security Research 12 month contract (possible extension) Newport - 3 days onsite per week £45 per hour, inside IR35 (umbrella) Subject to BPSS check Accountabilities This jobholder undertakes cutting edge digital security research and innovation activities with the ultimate goal of developing solutions to the business problems for which a solution doesn t currently exist. Further, the jobholder builds and maintains awareness and knowledge of best-practice technology trends and commercially available digital security solutions. The following accountabilities are described giving the scope of their applicability: The jobholder will be accountable for activities in each of the following areas: Coordination : Coordinate Cyber Security innovation across the business to maximise alignment. Build and maintain a working network across the business among subject matter peers and stakeholders. Undertake internal & external engagements on behalf of the digital security office. Collaboration : Collaborate in Cyber Security innovation activities with internal peers, to ensure cyber security is considered in joint projects and deliverables. Consultancy : Provide consultancy services on your specialist area of Cyber Security innovation across the business to ensure knowledge transfer and ensure. Innovation : Deliver innovation projects, activity reports and presentations to cost, quality and time constraints. Build and maintain a research network to support the specialist Cyber Security subject. Support the development and maintenance of a Cyber Innovation Roadmap for your specialist area to capture future threats, opportunities and potential projects. Main activities Coordination : Provide significant contributions to the transition of innovation knowledge and technologies into the business and digital security operations, including training, presentations and reports. Participate in a group-wide cyber innovation steering body. Attend and contribute to conferences and events (business / academic). Collaboration : Support external digital security innovation agreements, collaborations and partnerships with specialist subject expertise and industrial / context-of-use guidance. Provide expert services (consultancy) to the internal business on the specialist cyber subject, and as required. Consultancy : Contribute knowledge and advice on cyber aspects of your specialist topic to internal peers across the business and digital security operations. Manage onboarding and offboarding from projects for optimal use of time and resources. Innovation : Undertake state of the art research projects into digital security topics of interest in support of the business, in partnership with the other members of the Cyber Security Innovation team. Maintain awareness of marketed solutions, innovation and gaps, then address gaps by developing and internally marketing prototype solutions. Collaborate with academic partners on research, and provide industrial steering. Contribute to academic funding bids, internally and with academic contacts. Publish technical reports, white papers, patents, academic articles, etc. Outputs Prototype solutions, software, configurations, shared expertise. Horizon scans, market studies, technical reports. Internal & external proposals. Profile We are looking for a friendly, enthusiastic, well organised and self-motivated colleague with a personal drive to analyse, innovate and create. The eventual role holder will substantially align with the following criteria (in particular with the Must Haves ). Academic : Must Have : Bachelors degree in Artificial Intelligence / Machine Learning. Recent PhD or Masters relevant to _Cyber Security of AI ML_. Advantage : Professional training / certifications and experience in Cyber Security. Experience : Must Have : Deep AI/ML algorithm and application knowledge (ideally Cyber aspects) Experience of research, innovation and/or solution development. Advantage : Experience of managing digital security and/or R&I projects. Cyber industry publication (blogs, SANS articles etc). Experience in Cybersecurity of AI / ML. Experience in AI / ML applied to Cyber Security. Experience of patent applications and intellectual property management Research Skills : Must Have : Excellent report writing and presentation skills. Excellent spoken and written English. Advantage : Academic publication track record. Recent Cyber Security research publications. Managing NDAs, IPR, Patent Applications. Spoken & written French / German. Technical skills : Must Have : Technical specialist in AI / ML techniques. Advantage : Data Analytics / AI/ML applied to Cyber Security (tools & techniques). AI/ML vulnerabilities. Software development / scripting / web apps, e.g. Python, Rust.
Jan 24, 2025
Contractor
Senior Scientist - Human Centric Security Research 12 month contract (possible extension) Newport - 3 days onsite per week £45 per hour, inside IR35 (umbrella) Subject to BPSS check Accountabilities This jobholder undertakes cutting edge digital security research and innovation activities with the ultimate goal of developing solutions to the business problems for which a solution doesn t currently exist. Further, the jobholder builds and maintains awareness and knowledge of best-practice technology trends and commercially available digital security solutions. The following accountabilities are described giving the scope of their applicability: The jobholder will be accountable for activities in each of the following areas: Coordination : Coordinate Cyber Security innovation across the business to maximise alignment. Build and maintain a working network across the business among subject matter peers and stakeholders. Undertake internal & external engagements on behalf of the digital security office. Collaboration : Collaborate in Cyber Security innovation activities with internal peers, to ensure cyber security is considered in joint projects and deliverables. Consultancy : Provide consultancy services on your specialist area of Cyber Security innovation across the business to ensure knowledge transfer and ensure. Innovation : Deliver innovation projects, activity reports and presentations to cost, quality and time constraints. Build and maintain a research network to support the specialist Cyber Security subject. Support the development and maintenance of a Cyber Innovation Roadmap for your specialist area to capture future threats, opportunities and potential projects. Main activities Coordination : Provide significant contributions to the transition of innovation knowledge and technologies into the business and digital security operations, including training, presentations and reports. Participate in a group-wide cyber innovation steering body. Attend and contribute to conferences and events (business / academic). Collaboration : Support external digital security innovation agreements, collaborations and partnerships with specialist subject expertise and industrial / context-of-use guidance. Provide expert services (consultancy) to the internal business on the specialist cyber subject, and as required. Consultancy : Contribute knowledge and advice on cyber aspects of your specialist topic to internal peers across the business and digital security operations. Manage onboarding and offboarding from projects for optimal use of time and resources. Innovation : Undertake state of the art research projects into digital security topics of interest in support of the business, in partnership with the other members of the Cyber Security Innovation team. Maintain awareness of marketed solutions, innovation and gaps, then address gaps by developing and internally marketing prototype solutions. Collaborate with academic partners on research, and provide industrial steering. Contribute to academic funding bids, internally and with academic contacts. Publish technical reports, white papers, patents, academic articles, etc. Outputs Prototype solutions, software, configurations, shared expertise. Horizon scans, market studies, technical reports. Internal & external proposals. Profile We are looking for a friendly, enthusiastic, well organised and self-motivated colleague with a personal drive to analyse, innovate and create. The eventual role holder will substantially align with the following criteria (in particular with the Must Haves ). Academic : Must Have : Bachelors degree in Artificial Intelligence / Machine Learning. Recent PhD or Masters relevant to _Cyber Security of AI ML_. Advantage : Professional training / certifications and experience in Cyber Security. Experience : Must Have : Deep AI/ML algorithm and application knowledge (ideally Cyber aspects) Experience of research, innovation and/or solution development. Advantage : Experience of managing digital security and/or R&I projects. Cyber industry publication (blogs, SANS articles etc). Experience in Cybersecurity of AI / ML. Experience in AI / ML applied to Cyber Security. Experience of patent applications and intellectual property management Research Skills : Must Have : Excellent report writing and presentation skills. Excellent spoken and written English. Advantage : Academic publication track record. Recent Cyber Security research publications. Managing NDAs, IPR, Patent Applications. Spoken & written French / German. Technical skills : Must Have : Technical specialist in AI / ML techniques. Advantage : Data Analytics / AI/ML applied to Cyber Security (tools & techniques). AI/ML vulnerabilities. Software development / scripting / web apps, e.g. Python, Rust.
Back Market is the world's leading refurbished electronics marketplace with a team of 650 people, powering operations in 18 countries (and counting!). Named one of the World's Most Innovative Companies by Fast Company in 2019 and again in 2021, our mission is simple: empowering people to consume tech sustainably by offering folks a high quality, accessible, and more eco-friendly alternative to buying new electronics. Why? Refurbished tech helps lower our collective environmental impact. We have indeed contributed to avoid the production of more than 1,000,000 tons of CO2e worldwide since our launch in 2014. Be part of an exciting and growing international adventure that will change the way the world consumes tech. ABOUT THE ROLE: We are looking for a strategic and highly skilled Marketing Analytics Lead to drive data-driven decision-making in our marketing initiatives. You will leverage your expertise in Marketing, Data analytics, martech & media tracking to unlock actionable insights and scale marketing strategies. This role is ideal for an analytical leader passionate about marketing data, cross-functional collaboration, and innovation. A proven record in impact measurement-such as evaluating multi-channel campaign effectiveness-is essential. If you thrive on crafting scalable data strategies and influencing decisions through analytics, keep reading-you're in the right place. YOUR MISSION (IF YOU ACCEPT IT): Marketing Analytics: Serve as the primary analytics partner for marketing managers, collaborating on our incrementality platform, measurement frameworks and data-driven strategies. Translate complex datasets into actionable insights, clearly presenting recommendations to senior leadership. Martech & Data Collection: Challenge our MarTech setup to collect, process and leverage marketing insights. Lead media tracking efforts to measure campaign effectiveness and ensure optimal ROI across channels. Ensure data quality, accuracy, and scalability while maintaining robust workflows. Analytics Engineering: Lead analytics engineers to build and optimize scalable data pipelines in BigQuery and support marketing analytics needs. Stakeholder Management: Partner with marketing, tech, product, and cross-functional teams to align data opportunities with business objectives. Maintain effective communication with stakeholders to ensure the delivery of data-driven solutions. Leadership: Cultivate the data culture and data-driven decision-making across the organisation. Lead and mentor a team of analysts, data scientists & analytics engineers to foster a high-performance culture. YOU ARE IN THE RIGHT PLACE IF: Minimum 7 years of experience in marketing analytics with proven experience in building & scaling incrementality platforms, brand measurement and media efficiency frameworks. Comprehensive knowledge of marketing strategies, including performance channels interactions, brand media, and online/offline activations. Strong understanding of web tracking and tagging strategy and implementation (GA, GTM, attribution). Proficiency with MarTech systems and their role in marketing analytics (CDP, CMP, Analytics tools, CRM platforms, MMP ). Strong ability to manage cross-functional teams and collaborate with diverse stakeholders. A proactive, results-driven approach to tackling analytics challenges in a fast-paced environment. Knowledge of data science applications for marketing, such as predictive modeling or clustering. Familiarity in BigQuery and advanced skills in data analytics. Excellent communication and project management skills, with the ability to simplify complex concepts. WHY SHOULD YOU JOIN US? A meaningful job: you will help avoid thousands of tons of electronic waste and fight against planned obsolescence. It counts! A meaningful company: we became a mission-driven company in January 2022. Be part of a worldwide growing company based in Europe, the USA and Asia to face great challenges: you will have the freedom to innovate and adopt new ideas! Work alongside passionate experts: who will share their knowledge and help you develop and grow in your career. Grow your career: with a flexible career path and a dedicated Learning & Development team. Back Market will help you evolve with personalized internal trainings and external handpicked providers from day 1! Leadership Academy by Back Market: "be a coach not a dictator" is at the core of this program! We train and enable all our leaders to support their team towards achieving goals. Be a manager at Back Market is a unique experience we take by heart. An attractive salary, equity and a host of benefits including: Lunch voucher, health insurance, relocation package, paid time off for activism in your community, parental benefits, flexible hours, etc. Remote friendly company: up to 2 days of remote work per week! One Loving Tribe: you will have the opportunity to work in a fast-paced, open-minded and friendly environment. Be part of one of our Employee Resource Groups created around shared identities, common backgrounds and/or special interests crafted to be a safe space and an expressive outlet. Several internal events: The Monday Brief (weekly)/ The Somehands (monthly)/ The All Hands (annual). We're here to SABOTAGE: It's our mantra. It keeps us focused on what we aspire to be: a little bit sneaky, always smart, kinda frugal and constantly conspiring to create maximum impact. Back Market is an Equal Opportunity Employer which means we pledge to not discriminate against employees based on race, color, religion, sex, national origin, age, disability or genetic information. If reasonable accommodations are needed for the interview process, please do not hesitate to discuss this with the Talent Acquisition Team. Back Market is helping to address one of the biggest challenges of our time: climate change. We take this so seriously that we were awarded status as a "Société à Mission", or company with a social mission, by the French government. We know we can't tackle a global problem without a globally representative team so we are committed to embedding diversity, equity and inclusion principles in every aspect of our organization. But more importantly, being One Loving & Free Spirited Tribe is in our DNA as it is one of the five foundational values of our company since we got started way back in 2014. We are committed to hiring and supporting diverse teams of people from all backgrounds, experiences, and perspectives. We know our lofty goals cannot be reached unless everyone has a seat at the table along with the resources and opportunity to grow.
Jan 23, 2025
Full time
Back Market is the world's leading refurbished electronics marketplace with a team of 650 people, powering operations in 18 countries (and counting!). Named one of the World's Most Innovative Companies by Fast Company in 2019 and again in 2021, our mission is simple: empowering people to consume tech sustainably by offering folks a high quality, accessible, and more eco-friendly alternative to buying new electronics. Why? Refurbished tech helps lower our collective environmental impact. We have indeed contributed to avoid the production of more than 1,000,000 tons of CO2e worldwide since our launch in 2014. Be part of an exciting and growing international adventure that will change the way the world consumes tech. ABOUT THE ROLE: We are looking for a strategic and highly skilled Marketing Analytics Lead to drive data-driven decision-making in our marketing initiatives. You will leverage your expertise in Marketing, Data analytics, martech & media tracking to unlock actionable insights and scale marketing strategies. This role is ideal for an analytical leader passionate about marketing data, cross-functional collaboration, and innovation. A proven record in impact measurement-such as evaluating multi-channel campaign effectiveness-is essential. If you thrive on crafting scalable data strategies and influencing decisions through analytics, keep reading-you're in the right place. YOUR MISSION (IF YOU ACCEPT IT): Marketing Analytics: Serve as the primary analytics partner for marketing managers, collaborating on our incrementality platform, measurement frameworks and data-driven strategies. Translate complex datasets into actionable insights, clearly presenting recommendations to senior leadership. Martech & Data Collection: Challenge our MarTech setup to collect, process and leverage marketing insights. Lead media tracking efforts to measure campaign effectiveness and ensure optimal ROI across channels. Ensure data quality, accuracy, and scalability while maintaining robust workflows. Analytics Engineering: Lead analytics engineers to build and optimize scalable data pipelines in BigQuery and support marketing analytics needs. Stakeholder Management: Partner with marketing, tech, product, and cross-functional teams to align data opportunities with business objectives. Maintain effective communication with stakeholders to ensure the delivery of data-driven solutions. Leadership: Cultivate the data culture and data-driven decision-making across the organisation. Lead and mentor a team of analysts, data scientists & analytics engineers to foster a high-performance culture. YOU ARE IN THE RIGHT PLACE IF: Minimum 7 years of experience in marketing analytics with proven experience in building & scaling incrementality platforms, brand measurement and media efficiency frameworks. Comprehensive knowledge of marketing strategies, including performance channels interactions, brand media, and online/offline activations. Strong understanding of web tracking and tagging strategy and implementation (GA, GTM, attribution). Proficiency with MarTech systems and their role in marketing analytics (CDP, CMP, Analytics tools, CRM platforms, MMP ). Strong ability to manage cross-functional teams and collaborate with diverse stakeholders. A proactive, results-driven approach to tackling analytics challenges in a fast-paced environment. Knowledge of data science applications for marketing, such as predictive modeling or clustering. Familiarity in BigQuery and advanced skills in data analytics. Excellent communication and project management skills, with the ability to simplify complex concepts. WHY SHOULD YOU JOIN US? A meaningful job: you will help avoid thousands of tons of electronic waste and fight against planned obsolescence. It counts! A meaningful company: we became a mission-driven company in January 2022. Be part of a worldwide growing company based in Europe, the USA and Asia to face great challenges: you will have the freedom to innovate and adopt new ideas! Work alongside passionate experts: who will share their knowledge and help you develop and grow in your career. Grow your career: with a flexible career path and a dedicated Learning & Development team. Back Market will help you evolve with personalized internal trainings and external handpicked providers from day 1! Leadership Academy by Back Market: "be a coach not a dictator" is at the core of this program! We train and enable all our leaders to support their team towards achieving goals. Be a manager at Back Market is a unique experience we take by heart. An attractive salary, equity and a host of benefits including: Lunch voucher, health insurance, relocation package, paid time off for activism in your community, parental benefits, flexible hours, etc. Remote friendly company: up to 2 days of remote work per week! One Loving Tribe: you will have the opportunity to work in a fast-paced, open-minded and friendly environment. Be part of one of our Employee Resource Groups created around shared identities, common backgrounds and/or special interests crafted to be a safe space and an expressive outlet. Several internal events: The Monday Brief (weekly)/ The Somehands (monthly)/ The All Hands (annual). We're here to SABOTAGE: It's our mantra. It keeps us focused on what we aspire to be: a little bit sneaky, always smart, kinda frugal and constantly conspiring to create maximum impact. Back Market is an Equal Opportunity Employer which means we pledge to not discriminate against employees based on race, color, religion, sex, national origin, age, disability or genetic information. If reasonable accommodations are needed for the interview process, please do not hesitate to discuss this with the Talent Acquisition Team. Back Market is helping to address one of the biggest challenges of our time: climate change. We take this so seriously that we were awarded status as a "Société à Mission", or company with a social mission, by the French government. We know we can't tackle a global problem without a globally representative team so we are committed to embedding diversity, equity and inclusion principles in every aspect of our organization. But more importantly, being One Loving & Free Spirited Tribe is in our DNA as it is one of the five foundational values of our company since we got started way back in 2014. We are committed to hiring and supporting diverse teams of people from all backgrounds, experiences, and perspectives. We know our lofty goals cannot be reached unless everyone has a seat at the table along with the resources and opportunity to grow.
Role overview: Ipsos MMA has been a leader in driving innovative analytic solutions for 25 years. Since 2010 Ipsos MMA has grown over 400%. Candidates need to be able to work and thrive in an evolving, growth-oriented business focused on winning and adding measurable, material value to our clients' business. Ideal candidates will have strong skills in data management with an emphasis on analytic related projects, exemplary focus on quality management, attention to detail and a commitment to project and data excellence. We are looking for Senior Analytics Managers who possess excellent communication skills, have a desire to work with senior executives at some of the world's leading companies, and possess an ability to work with Ipsos MMA data science teams to help translate technical outputs into meaningful recommendations for these clients. Ipsos UK offers a hybrid working environment and this person will be required to be based out of our London office regularly. What will I be doing? Work with and develop successful relationships based upon trust and value-creation with senior executives within key clients in order to create long-term, sustainable relationships. Effectively work with clients to diagnose solutions to key organizational challenges and develop value-based roadmaps that support the application of Ipsos MMA's analytic solutions to solve client business issues on a continuous and repeatable basis. Work closely with internal Ipsos MMA management and teams to scope, deliver and successfully implement client solutions. Work with client and internal teams to translate data and model results into tactical and strategic insights that are complete, accurate, relevant, understandable and applicable to client businesses and needs. Present to and work with clients to integrate recommendations into business processes. Work with our data scientists to provide coaching, training, mentoring, inspiration and developmental guidance for their careers in a manner that supports team and company growth and profitability. Work with team and operations to maximize project delivery quality, timeliness and efficiencies in order to deliver high-value and relevant insights to our clients as quickly and effectively as possible. Grow existing client businesses and relationships while working with key Ipsos MMA executives to cultivate and develop new clients. This role will involve some travel to Europe which could amount to about 40% of the time during peak delivery periods. What do I need to bring with me? Experience of proven leadership in analytics and in working with cross-functional internal and client teams. A broad understanding of core and emerging analytics methods and approaches and how they can be deployed to drive value within and across client organizations, with primary focus areas including marketing mix modelling, customer attribution, pricing and promotion, brand equity management and/or forecasting. A strong understanding of media and emerging media and applicable analytics is essential. Ability to work collaboratively and in partnership with senior team executives and the analytics team to produce cohesive, well-thought out, value-based presentations for clients. A diverse mix of data management and analytic vertical experience, including a mix of retail, pharma, financials/banking, insurance, restaurant, durable goods, B2B, automotive and CPG is preferred. Experience and/or ability to lead projects and take full responsibility for the projects. What's in it for me? Ipsos UK offer an attractive basic salary and a rewards package including 25 days annual leave, a pension scheme and a great range of flexible benefits to suit your personal needs. For roles at Research Manager level and above we also offer private healthcare. In addition to this we have a fantastic Learning & Development offer delivered through a mix of face to face, online or on-demand; you can read more by clicking here . We realise you may have commitments outside of work and will consider flexible working applications - please highlight what you are looking for when you make your application. Ipsos is committed to equality, treating people fairly, promoting a positive and inclusive working environment and ensuring we have diversity of people and views. We also recognise that this is important for our business success - a more diverse workforce will enable us to better reflect and understand the world we research and ultimately deliver better research and insight to our clients.
Jan 23, 2025
Full time
Role overview: Ipsos MMA has been a leader in driving innovative analytic solutions for 25 years. Since 2010 Ipsos MMA has grown over 400%. Candidates need to be able to work and thrive in an evolving, growth-oriented business focused on winning and adding measurable, material value to our clients' business. Ideal candidates will have strong skills in data management with an emphasis on analytic related projects, exemplary focus on quality management, attention to detail and a commitment to project and data excellence. We are looking for Senior Analytics Managers who possess excellent communication skills, have a desire to work with senior executives at some of the world's leading companies, and possess an ability to work with Ipsos MMA data science teams to help translate technical outputs into meaningful recommendations for these clients. Ipsos UK offers a hybrid working environment and this person will be required to be based out of our London office regularly. What will I be doing? Work with and develop successful relationships based upon trust and value-creation with senior executives within key clients in order to create long-term, sustainable relationships. Effectively work with clients to diagnose solutions to key organizational challenges and develop value-based roadmaps that support the application of Ipsos MMA's analytic solutions to solve client business issues on a continuous and repeatable basis. Work closely with internal Ipsos MMA management and teams to scope, deliver and successfully implement client solutions. Work with client and internal teams to translate data and model results into tactical and strategic insights that are complete, accurate, relevant, understandable and applicable to client businesses and needs. Present to and work with clients to integrate recommendations into business processes. Work with our data scientists to provide coaching, training, mentoring, inspiration and developmental guidance for their careers in a manner that supports team and company growth and profitability. Work with team and operations to maximize project delivery quality, timeliness and efficiencies in order to deliver high-value and relevant insights to our clients as quickly and effectively as possible. Grow existing client businesses and relationships while working with key Ipsos MMA executives to cultivate and develop new clients. This role will involve some travel to Europe which could amount to about 40% of the time during peak delivery periods. What do I need to bring with me? Experience of proven leadership in analytics and in working with cross-functional internal and client teams. A broad understanding of core and emerging analytics methods and approaches and how they can be deployed to drive value within and across client organizations, with primary focus areas including marketing mix modelling, customer attribution, pricing and promotion, brand equity management and/or forecasting. A strong understanding of media and emerging media and applicable analytics is essential. Ability to work collaboratively and in partnership with senior team executives and the analytics team to produce cohesive, well-thought out, value-based presentations for clients. A diverse mix of data management and analytic vertical experience, including a mix of retail, pharma, financials/banking, insurance, restaurant, durable goods, B2B, automotive and CPG is preferred. Experience and/or ability to lead projects and take full responsibility for the projects. What's in it for me? Ipsos UK offer an attractive basic salary and a rewards package including 25 days annual leave, a pension scheme and a great range of flexible benefits to suit your personal needs. For roles at Research Manager level and above we also offer private healthcare. In addition to this we have a fantastic Learning & Development offer delivered through a mix of face to face, online or on-demand; you can read more by clicking here . We realise you may have commitments outside of work and will consider flexible working applications - please highlight what you are looking for when you make your application. Ipsos is committed to equality, treating people fairly, promoting a positive and inclusive working environment and ensuring we have diversity of people and views. We also recognise that this is important for our business success - a more diverse workforce will enable us to better reflect and understand the world we research and ultimately deliver better research and insight to our clients.
Our vision is to be the universal symbol of trust, bringing consumers and businesses together through reviews. We are well on our way-but there's still an exciting journey ahead. Join us at the heart of trust. At Trustpilot, we are at the forefront of revolutionizing the Product space. As we propel towards becoming the engine for Product-oriented growth, we are searching for innovative professionals like you to join us on this remarkable journey. Our team comprises strategic leaders in product development, motivated by an unwavering commitment to delivering unmatched customer value at scale. We need an experienced and skilled Senior Product Manager to take charge of owning the discovery and execution of our strategic global roadmaps. If you are enthusiastic about implementing innovation, eager to take ownership of significant projects, and keen on making a global impact, this is the opportunity you've been waiting for. Join Trustpilot's Product Management team and have an integral part in shaping the future of our diverse and rapidly growing organization. Together, let's push the boundaries of what's possible in the Product space and create a lasting impact on our users worldwide. We are currently hiring within our Trust & Transparency team. A huge part of what we do at Trustpilot is Trust (it's in the name!). We need to ensure that the content on our platform is real content from real people. That means eliminating scam and spam, and identifying fraudulent behaviour. We have several cross functional teams devoted to Trust such as Content Integrity to discover fraudulent activity, and data scientists working on spam models. What you'll be doing: Lead cross-functional agile teams, including remote members, through the entire product lifecycle. Take ownership of product discovery, strategic roadmaps, and execution while aligning them with business goals and customer needs. Collaborate with designers, engineers, data scientists, and other key stakeholders to develop new features and optimize existing products. Prioritize new features and enhancements using robust product management frameworks. Conduct in-depth user research and leverage data insights to define problems and validate solutions. Drive decision-making by setting clear priorities and using data (quantitative and qualitative) to measure success. Communicate product strategy, status updates, and potential risks to executive leadership and internal teams. Cultivate solid connections between the sales, marketing, and customer service departments to promote product-focused mindsets across the enterprise. Inspire and motivate teams to achieve their best performance, establishing a culture of high collaboration and innovation. We are looking for people with: Significant product management experience working within agile teams, with a proven history of delivering effective digital products. Comprehensive understanding of product management principles, including product strategy, roadmap development, and agile methodologies (Scrum, Kanban). Demonstrated experience working in cross-functional teams and leading through influence, not authority. Expertise in user research, A/B testing, and data analysis to guide decision-making and product development. Skilled in critical assessment and oversight, with expertise in setting up and supervising key performance indicators and measures of achievement. Experience working on B2B or B2C products, ideally in areas such as eCommerce platforms, marketing automation, or customer engagement. Passion for emerging technologies such as AI/ChatGPT and their application in product innovation and user experience. Great communication and stakeholder management skills, with the ability to align diverse teams around a common vision. What's in it for you? A range of flexible working options to dedicate time to what matters to you Competitive compensation package + bonus 25 days holiday per year, increasing to 28 days after 2 years of employment Two (paid) volunteering days a year to spend your time giving back to the causes that matter to you and your community Rich learning and development opportunities are supported through the Trustpilot Academy, LinkedIn Learning, and Blinkist Pension and life insurance Health cash plan, online GP, 24/7, Employee Assistance Plan Full access to Headspace, a popular mindfulness app to promote positive mental health Paid parental leave Season ticket loan and a cycle-to-work scheme Central office location complete with table tennis, a gaming corner, coffee bars and all the snacks and refreshments you can ask for Regular opportunities to connect and get to know your fellow Trusties, including company-wide celebrations and events, ERG activities, and team socials. Access to over 4,000 deals and discounts on things like travel, electronics, fashion, fitness, cinema discounts, and more. Independent financial advice and free standard professional mortgage broker advice Still not sure We want to be a part of creating a more diverse, equitable, and inclusive world of work for all. We're excited to hear about your experiences as well as how you will contribute to our working culture. So, even if you don't feel you don't meet all the requirements, we'd still really like to hear from you! About us Trustpilot began in 2007 with a simple yet powerful idea that is more relevant today than ever - to be the universal symbol of trust, bringing consumers and businesses together through reviews. Trustpilot is open, independent, and impartial - we help consumers make the right choices and businesses to build trust, grow and improve. Today, we have more than 300 million reviews and 67 million monthly active users across the globe, with 127 billion annual Trustpilot brand impressions, and the numbers keep growing. We have more than 900 employees and we're headquartered in Copenhagen, with operations in Amsterdam, Denver, Edinburgh, Hamburg, London, Melbourne, Milan and New York. We're driven by connection. It's at the heart of what we do. Our culture keeps things fresh it's built on the relationships we create. We talk, we laugh, we collaborate and we respect each other. We work across borders and cultures to be the universal symbol of trust in an ever-changing world. With vibrant office locations worldwide and over 50 nationalities, we're proud to be an equal opportunity workplace with diverse perspectives and ideas. Our purpose to help people and businesses help each other is a tall order, but we keep it real. We're a great bunch of humans, doing awesome stuff, without fuss or pretense. A successful Trustpilot future is driven by you we give you the autonomy to shape a career you can be proud of. If you're ready to grow, let's go. Join us at the heart of trust. Trustpilot is committed to creating an inclusive environment where people from all backgrounds can thrive and where different viewpoints and experiences are valued and respected. Trustpilot will consider all applications for employment without regard to race, ethnicity, national origin, religious beliefs, gender identity or expression, sexual orientation, neurodiversity, disability, age, parental or veteran status. Together, we are the heart of trust. Trustpilot is a global company and our data practices are designed to ensure that your personally identifiable information is appropriately protected. Please note that your personal information will be transferred, accessed, and stored globally as necessary for the uses and disclosures stated in our Privacy Policy. Apply for this job First Name Last Name Email Phone Resume/CV Enter manually Accepted file types: pdf, doc, docx, txt, rtf Enter manually Accepted file types: pdf, doc, docx, txt, rtf Tell us who you are! Please select one. I am an employee at Trustpilot. I am not an employee at Trustpilot. Do you need visa sponsorship to work in this location? Select LinkedIn Profile What are your salary expectations? Please select the country you are applying from. Select
Jan 23, 2025
Full time
Our vision is to be the universal symbol of trust, bringing consumers and businesses together through reviews. We are well on our way-but there's still an exciting journey ahead. Join us at the heart of trust. At Trustpilot, we are at the forefront of revolutionizing the Product space. As we propel towards becoming the engine for Product-oriented growth, we are searching for innovative professionals like you to join us on this remarkable journey. Our team comprises strategic leaders in product development, motivated by an unwavering commitment to delivering unmatched customer value at scale. We need an experienced and skilled Senior Product Manager to take charge of owning the discovery and execution of our strategic global roadmaps. If you are enthusiastic about implementing innovation, eager to take ownership of significant projects, and keen on making a global impact, this is the opportunity you've been waiting for. Join Trustpilot's Product Management team and have an integral part in shaping the future of our diverse and rapidly growing organization. Together, let's push the boundaries of what's possible in the Product space and create a lasting impact on our users worldwide. We are currently hiring within our Trust & Transparency team. A huge part of what we do at Trustpilot is Trust (it's in the name!). We need to ensure that the content on our platform is real content from real people. That means eliminating scam and spam, and identifying fraudulent behaviour. We have several cross functional teams devoted to Trust such as Content Integrity to discover fraudulent activity, and data scientists working on spam models. What you'll be doing: Lead cross-functional agile teams, including remote members, through the entire product lifecycle. Take ownership of product discovery, strategic roadmaps, and execution while aligning them with business goals and customer needs. Collaborate with designers, engineers, data scientists, and other key stakeholders to develop new features and optimize existing products. Prioritize new features and enhancements using robust product management frameworks. Conduct in-depth user research and leverage data insights to define problems and validate solutions. Drive decision-making by setting clear priorities and using data (quantitative and qualitative) to measure success. Communicate product strategy, status updates, and potential risks to executive leadership and internal teams. Cultivate solid connections between the sales, marketing, and customer service departments to promote product-focused mindsets across the enterprise. Inspire and motivate teams to achieve their best performance, establishing a culture of high collaboration and innovation. We are looking for people with: Significant product management experience working within agile teams, with a proven history of delivering effective digital products. Comprehensive understanding of product management principles, including product strategy, roadmap development, and agile methodologies (Scrum, Kanban). Demonstrated experience working in cross-functional teams and leading through influence, not authority. Expertise in user research, A/B testing, and data analysis to guide decision-making and product development. Skilled in critical assessment and oversight, with expertise in setting up and supervising key performance indicators and measures of achievement. Experience working on B2B or B2C products, ideally in areas such as eCommerce platforms, marketing automation, or customer engagement. Passion for emerging technologies such as AI/ChatGPT and their application in product innovation and user experience. Great communication and stakeholder management skills, with the ability to align diverse teams around a common vision. What's in it for you? A range of flexible working options to dedicate time to what matters to you Competitive compensation package + bonus 25 days holiday per year, increasing to 28 days after 2 years of employment Two (paid) volunteering days a year to spend your time giving back to the causes that matter to you and your community Rich learning and development opportunities are supported through the Trustpilot Academy, LinkedIn Learning, and Blinkist Pension and life insurance Health cash plan, online GP, 24/7, Employee Assistance Plan Full access to Headspace, a popular mindfulness app to promote positive mental health Paid parental leave Season ticket loan and a cycle-to-work scheme Central office location complete with table tennis, a gaming corner, coffee bars and all the snacks and refreshments you can ask for Regular opportunities to connect and get to know your fellow Trusties, including company-wide celebrations and events, ERG activities, and team socials. Access to over 4,000 deals and discounts on things like travel, electronics, fashion, fitness, cinema discounts, and more. Independent financial advice and free standard professional mortgage broker advice Still not sure We want to be a part of creating a more diverse, equitable, and inclusive world of work for all. We're excited to hear about your experiences as well as how you will contribute to our working culture. So, even if you don't feel you don't meet all the requirements, we'd still really like to hear from you! About us Trustpilot began in 2007 with a simple yet powerful idea that is more relevant today than ever - to be the universal symbol of trust, bringing consumers and businesses together through reviews. Trustpilot is open, independent, and impartial - we help consumers make the right choices and businesses to build trust, grow and improve. Today, we have more than 300 million reviews and 67 million monthly active users across the globe, with 127 billion annual Trustpilot brand impressions, and the numbers keep growing. We have more than 900 employees and we're headquartered in Copenhagen, with operations in Amsterdam, Denver, Edinburgh, Hamburg, London, Melbourne, Milan and New York. We're driven by connection. It's at the heart of what we do. Our culture keeps things fresh it's built on the relationships we create. We talk, we laugh, we collaborate and we respect each other. We work across borders and cultures to be the universal symbol of trust in an ever-changing world. With vibrant office locations worldwide and over 50 nationalities, we're proud to be an equal opportunity workplace with diverse perspectives and ideas. Our purpose to help people and businesses help each other is a tall order, but we keep it real. We're a great bunch of humans, doing awesome stuff, without fuss or pretense. A successful Trustpilot future is driven by you we give you the autonomy to shape a career you can be proud of. If you're ready to grow, let's go. Join us at the heart of trust. Trustpilot is committed to creating an inclusive environment where people from all backgrounds can thrive and where different viewpoints and experiences are valued and respected. Trustpilot will consider all applications for employment without regard to race, ethnicity, national origin, religious beliefs, gender identity or expression, sexual orientation, neurodiversity, disability, age, parental or veteran status. Together, we are the heart of trust. Trustpilot is a global company and our data practices are designed to ensure that your personally identifiable information is appropriately protected. Please note that your personal information will be transferred, accessed, and stored globally as necessary for the uses and disclosures stated in our Privacy Policy. Apply for this job First Name Last Name Email Phone Resume/CV Enter manually Accepted file types: pdf, doc, docx, txt, rtf Enter manually Accepted file types: pdf, doc, docx, txt, rtf Tell us who you are! Please select one. I am an employee at Trustpilot. I am not an employee at Trustpilot. Do you need visa sponsorship to work in this location? Select LinkedIn Profile What are your salary expectations? Please select the country you are applying from. Select
Senior Data Architect Joining Capco means joining an organisation that is committed to an inclusive working environment where you're encouraged to Be Yourself At Work. We celebrate individuality and recognize that diversity and inclusion, in all forms, is critical to success. It's important to us that we recruit and develop as diverse a range of talent as we can and we believe that everyone brings something different to the table - so we'd love to know what makes you different. Such differences may mean we need to make changes to our process to allow you the best possible platform to succeed, and we are happy to cater to any reasonable adjustments you may require. You will find the section to let us know of these at the bottom of your application form or you can mention it directly to your recruiter at any stage and they will be happy to help. ABOUT US Capco is global technology and business consultancy with a focus on the financial services sector. We are passionate about helping our clients succeed in an ever-changing industry, combining innovative thinking with unique expert know-how. The solutions we offer our customers every day are as diverse as our employees. We are/have: Experts across the Capital Markets, Insurance, Payments, Retail Banking and Wealth & Asset Management domains. Deep knowledge in various financial services offerings including Finance, Risk and Compliance, Financial Crime, Core Banking etc. Committed to growing our business and hiring the best talent to help us get there Focused on maintaining our nimble, agile and entrepreneurial culture. Your Capco Day/Key Responsibilities You will accompany and lead complex agile consulting projects supporting our clients with data architecture design and delivery. You will work with technology leaders across Financial Services to provide best practice guidance for data management and data architecture development and optimization. You will build a set of services and capabilities that support Capco's vision of Modern Data Architecture and our clients' data journeys to Cloud to enable efficient, transparent and high-quality data management. You will have opportunities to assume greater responsibility for your topics, as well as managing small project teams and supporting Capco Data Architecture business development. Preferred Experience Experience architecting & implementing data strategy, solutions & governance models. Experience of aligning data architecture & strategy across multiple programmes, work streams and business units. Demonstrable experience using Cloud data technologies to develop enterprise Data platforms. Cloud architect/data architect certifications (AWS, GPC, Azure). Knowledge of the relevant procedures, architectures and technologies in one or more of the following topics: Contextual Datamodelling, Entity Relationship Modelling, Logical & Physical Datamodelling and Data Lake design. Experience designing and implementing cloud data migration and storage patterns on one or more of AWS, GCP and Microsoft Azure Experience implementing and integrating data management platforms for data cataloguing, classification and metadata management. Experience designing and developing data privacy, security and entitlements frameworks for cloud provider ecosystems (AWS, Azure, GCP). Good understanding of cloud networking architecture, operations, automation and cost management. Ideally, relevant practical project experience in Financial Services with proven leadership skills and ability to operate in complex environments/projects, managing multiple stakeholders at all levels of the organisation. An understanding or interest in Graph computing and semantic Datamodelling. A credible individual who can communicate effectively to both technical and non-technical audiences. Effective teamworking with very good analytical and conceptual skills and assertiveness. Data at Capco Capco's global Data Practice of 800+ practitioners are an established team of data strategists, analysts, scientists, architects, and engineers who help client teams harness the power of data to drive insight, optimise performance, and commercialise data opportunities. We enable financial institutions to become data-driven by helping transform their understanding, and use of data to derive value. We translate strategy into action - designing, implementing, and mobilising innovative data capabilities with a focus on efficiency and scalability, and partnering with leading vendors and industry bodies. Collaboration, enthusiasm, and encouragement are key in ensuring we maintain our culture through working in an environment where clients become colleagues. We are looking for a candidate who will empower the team, drive high standards, grow the capability, and deliver customer focused outcomes. Our clients and peers have voted us as the A-Team Best Consultancy in Data Management in consecutive years, valuing our ability to identify and develop top data talent. In addition to this, we have proudly won both the Best Consultancy (2022) in the British Banking Awards and the Best ESG Data & Technology Consultancy as part of the annual ESG Insight Awards. WHY JOIN CAPCO? You will work on engaging projects with some of the largest banks in the world, on projects that will transform the financial services industry. We offer: A work culture focused on innovation and creating lasting value for our clients and employees Ongoing learning opportunities to help you acquire new skills or deepen existing expertise A flat, non-hierarchical structure that will enable you to work with senior partners and directly with clients A diverse, inclusive, meritocratic culture Enhanced and competitive family friendly benefits, including maternity/adoption/shared parental leave and paid leave for sickness, pregnancy loss, fertility treatment, menopause and bereavement.
Jan 23, 2025
Full time
Senior Data Architect Joining Capco means joining an organisation that is committed to an inclusive working environment where you're encouraged to Be Yourself At Work. We celebrate individuality and recognize that diversity and inclusion, in all forms, is critical to success. It's important to us that we recruit and develop as diverse a range of talent as we can and we believe that everyone brings something different to the table - so we'd love to know what makes you different. Such differences may mean we need to make changes to our process to allow you the best possible platform to succeed, and we are happy to cater to any reasonable adjustments you may require. You will find the section to let us know of these at the bottom of your application form or you can mention it directly to your recruiter at any stage and they will be happy to help. ABOUT US Capco is global technology and business consultancy with a focus on the financial services sector. We are passionate about helping our clients succeed in an ever-changing industry, combining innovative thinking with unique expert know-how. The solutions we offer our customers every day are as diverse as our employees. We are/have: Experts across the Capital Markets, Insurance, Payments, Retail Banking and Wealth & Asset Management domains. Deep knowledge in various financial services offerings including Finance, Risk and Compliance, Financial Crime, Core Banking etc. Committed to growing our business and hiring the best talent to help us get there Focused on maintaining our nimble, agile and entrepreneurial culture. Your Capco Day/Key Responsibilities You will accompany and lead complex agile consulting projects supporting our clients with data architecture design and delivery. You will work with technology leaders across Financial Services to provide best practice guidance for data management and data architecture development and optimization. You will build a set of services and capabilities that support Capco's vision of Modern Data Architecture and our clients' data journeys to Cloud to enable efficient, transparent and high-quality data management. You will have opportunities to assume greater responsibility for your topics, as well as managing small project teams and supporting Capco Data Architecture business development. Preferred Experience Experience architecting & implementing data strategy, solutions & governance models. Experience of aligning data architecture & strategy across multiple programmes, work streams and business units. Demonstrable experience using Cloud data technologies to develop enterprise Data platforms. Cloud architect/data architect certifications (AWS, GPC, Azure). Knowledge of the relevant procedures, architectures and technologies in one or more of the following topics: Contextual Datamodelling, Entity Relationship Modelling, Logical & Physical Datamodelling and Data Lake design. Experience designing and implementing cloud data migration and storage patterns on one or more of AWS, GCP and Microsoft Azure Experience implementing and integrating data management platforms for data cataloguing, classification and metadata management. Experience designing and developing data privacy, security and entitlements frameworks for cloud provider ecosystems (AWS, Azure, GCP). Good understanding of cloud networking architecture, operations, automation and cost management. Ideally, relevant practical project experience in Financial Services with proven leadership skills and ability to operate in complex environments/projects, managing multiple stakeholders at all levels of the organisation. An understanding or interest in Graph computing and semantic Datamodelling. A credible individual who can communicate effectively to both technical and non-technical audiences. Effective teamworking with very good analytical and conceptual skills and assertiveness. Data at Capco Capco's global Data Practice of 800+ practitioners are an established team of data strategists, analysts, scientists, architects, and engineers who help client teams harness the power of data to drive insight, optimise performance, and commercialise data opportunities. We enable financial institutions to become data-driven by helping transform their understanding, and use of data to derive value. We translate strategy into action - designing, implementing, and mobilising innovative data capabilities with a focus on efficiency and scalability, and partnering with leading vendors and industry bodies. Collaboration, enthusiasm, and encouragement are key in ensuring we maintain our culture through working in an environment where clients become colleagues. We are looking for a candidate who will empower the team, drive high standards, grow the capability, and deliver customer focused outcomes. Our clients and peers have voted us as the A-Team Best Consultancy in Data Management in consecutive years, valuing our ability to identify and develop top data talent. In addition to this, we have proudly won both the Best Consultancy (2022) in the British Banking Awards and the Best ESG Data & Technology Consultancy as part of the annual ESG Insight Awards. WHY JOIN CAPCO? You will work on engaging projects with some of the largest banks in the world, on projects that will transform the financial services industry. We offer: A work culture focused on innovation and creating lasting value for our clients and employees Ongoing learning opportunities to help you acquire new skills or deepen existing expertise A flat, non-hierarchical structure that will enable you to work with senior partners and directly with clients A diverse, inclusive, meritocratic culture Enhanced and competitive family friendly benefits, including maternity/adoption/shared parental leave and paid leave for sickness, pregnancy loss, fertility treatment, menopause and bereavement.
Senior Data Scientist We are looking for a Senior Data Scientist to join the ML/AI team. Our ML/AI team within the Data Organisation is a dynamic group of data scientists and machine learning experts passionate about using data to drive innovation. As a Senior Data Scientist on this team, you'll be at the forefront of developing and deploying machine learning and GenAI algorithms models. You'll collaborate with colleagues across the organisation to identify opportunities for automation, improve decision-making, and optimise our products and processes. This is a challenging and rewarding role where you can make a significant contribution to our mission while continuously learning and expanding your skillset in a supportive and collaborative environment. Please note, the minimum expectation for office attendance is two days per week in our central London office. Who are we? We're Funding Circle. We back small businesses to succeed. At Funding Circle, we believe the world needs small businesses. That's why we've made it our mission to help them get the finance they need to grow. With more than a decade of expertise under our belt, we've built a game-changer of a platform with cutting-edge data and technology that's reshaping the landscape of SME lending. Say goodbye to lengthy applications and hello to lightning-fast decisions! In just minutes, SMEs across the UK can get a decision, giving them access to competitive funding in a flash. We know that good business is about good people. So we pride ourselves on providing meaningful, human support as well as fast, hassle-free processes to deliver an unbeatable customer experience. The role Develop and implement machine learning models using traditional ML and GenAI: Design, develop, and deploy robust machine learning models and algorithms to solve complex business problems, with a focus on enhancing various aspects of Funding Circle's operations and decision-making processes. Make use of Generative AI models and services when necessary. Analyse data to identify opportunities to improve Funding Circle's products and processes: We collect large quantities of data as part of running our business, work with analysts and product managers to analyse that data and identify opportunities to enhance decision making and increase automation. Communicate results and engage with stakeholders: Effectively communicate complex technical concepts and findings to both technical and non-technical stakeholders. Present insights and recommendations in a clear and concise manner to drive informed decision-making. Mentorship and knowledge sharing: Actively participate in knowledge sharing within the Machine Learning and AI team and the wider data team, providing mentorship to junior team members and contributing to a collaborative and learning-oriented environment. Continuous learning: Keep up-to-date with advancements in machine learning and artificial intelligence. Apply cutting-edge techniques and technologies to address business challenges and maintain a competitive edge in the financial technology sector. What we're looking for Data curiosity and problem solving skills: The ability and willingness to explore, understand and explain complex datasets and identify opportunities for automation and process improvements. Strong analytical and problem-solving skills to address real-world business challenges. Practical and outcome driven mindset. Proven machine learning expertise: Demonstrated experience in developing and deploying machine learning models, with a strong understanding of various algorithms, including supervised and unsupervised learning methods. Additional knowledge of GenAI and LLMs is an advantage. Software development skills: Strong programming experience, ideally in Python. Ability and willingness to work alongside machine learning engineers on the production implementation of algorithms and machine learning models. Experience working on production applications with software developers is an advantage. The role will require working in close contact with production systems, and quality software engineering practices are essential. Data manipulation, analysis and feature processing: Proficient in data manipulation and analysis using tools like Pandas, Polars, NumPy, and SQL. Ability to work with large-scale datasets and extract meaningful insights. Experience in feature engineering and data preprocessing to optimise input data for machine learning models. Ability to handle data quality issues and outliers effectively. Solid understanding of statistical concepts and techniques for modelling. Collaborative team player: Strong interpersonal and communication skills and the ability to work collaboratively in cross-functional teams, both non-technical (domain experts) and highly technical (software, data and platform engineers). Practical mindset with a focus on team outcomes. Continuous learning and adaptability: Commitment to staying updated on the latest developments in data science and machine learning. Ability to work in a fast paced, high innovation environment. Ready to make a difference? We'd love to hear from you.
Jan 23, 2025
Full time
Senior Data Scientist We are looking for a Senior Data Scientist to join the ML/AI team. Our ML/AI team within the Data Organisation is a dynamic group of data scientists and machine learning experts passionate about using data to drive innovation. As a Senior Data Scientist on this team, you'll be at the forefront of developing and deploying machine learning and GenAI algorithms models. You'll collaborate with colleagues across the organisation to identify opportunities for automation, improve decision-making, and optimise our products and processes. This is a challenging and rewarding role where you can make a significant contribution to our mission while continuously learning and expanding your skillset in a supportive and collaborative environment. Please note, the minimum expectation for office attendance is two days per week in our central London office. Who are we? We're Funding Circle. We back small businesses to succeed. At Funding Circle, we believe the world needs small businesses. That's why we've made it our mission to help them get the finance they need to grow. With more than a decade of expertise under our belt, we've built a game-changer of a platform with cutting-edge data and technology that's reshaping the landscape of SME lending. Say goodbye to lengthy applications and hello to lightning-fast decisions! In just minutes, SMEs across the UK can get a decision, giving them access to competitive funding in a flash. We know that good business is about good people. So we pride ourselves on providing meaningful, human support as well as fast, hassle-free processes to deliver an unbeatable customer experience. The role Develop and implement machine learning models using traditional ML and GenAI: Design, develop, and deploy robust machine learning models and algorithms to solve complex business problems, with a focus on enhancing various aspects of Funding Circle's operations and decision-making processes. Make use of Generative AI models and services when necessary. Analyse data to identify opportunities to improve Funding Circle's products and processes: We collect large quantities of data as part of running our business, work with analysts and product managers to analyse that data and identify opportunities to enhance decision making and increase automation. Communicate results and engage with stakeholders: Effectively communicate complex technical concepts and findings to both technical and non-technical stakeholders. Present insights and recommendations in a clear and concise manner to drive informed decision-making. Mentorship and knowledge sharing: Actively participate in knowledge sharing within the Machine Learning and AI team and the wider data team, providing mentorship to junior team members and contributing to a collaborative and learning-oriented environment. Continuous learning: Keep up-to-date with advancements in machine learning and artificial intelligence. Apply cutting-edge techniques and technologies to address business challenges and maintain a competitive edge in the financial technology sector. What we're looking for Data curiosity and problem solving skills: The ability and willingness to explore, understand and explain complex datasets and identify opportunities for automation and process improvements. Strong analytical and problem-solving skills to address real-world business challenges. Practical and outcome driven mindset. Proven machine learning expertise: Demonstrated experience in developing and deploying machine learning models, with a strong understanding of various algorithms, including supervised and unsupervised learning methods. Additional knowledge of GenAI and LLMs is an advantage. Software development skills: Strong programming experience, ideally in Python. Ability and willingness to work alongside machine learning engineers on the production implementation of algorithms and machine learning models. Experience working on production applications with software developers is an advantage. The role will require working in close contact with production systems, and quality software engineering practices are essential. Data manipulation, analysis and feature processing: Proficient in data manipulation and analysis using tools like Pandas, Polars, NumPy, and SQL. Ability to work with large-scale datasets and extract meaningful insights. Experience in feature engineering and data preprocessing to optimise input data for machine learning models. Ability to handle data quality issues and outliers effectively. Solid understanding of statistical concepts and techniques for modelling. Collaborative team player: Strong interpersonal and communication skills and the ability to work collaboratively in cross-functional teams, both non-technical (domain experts) and highly technical (software, data and platform engineers). Practical mindset with a focus on team outcomes. Continuous learning and adaptability: Commitment to staying updated on the latest developments in data science and machine learning. Ability to work in a fast paced, high innovation environment. Ready to make a difference? We'd love to hear from you.
About the role At Tesco, we believe in the power of spending more time together, face to face, than apart. So, during your working week, you can expect to spend 60% of your time in one of our office locations or local sites and the rest remotely. We also recognise that life looks a little different for each of us. Some people are at the start of their careers, some want the freedom to do the things they love. Others are going through life-changing moments like becoming a carer, nearing retirement, adapting to parenthood, or something else. That's why at Tesco, we always welcome a conversation about flexible working. So, talk to us throughout your application about how we can support. As a Head of Software Engineering for Machine Learning Engineering, you'll be a significant contributor to the delivery of products in one of Tesco's most strategic technology areas. You'll work with other engineers, data scientists, product managers, systems engineers, and analytics professionals to help deliver valuable and innovative outcomes for our customers. You'll work within and across our Engineering and Data Science teams, delivering scalable products that improve how we serve our customers and run our operations. As Head of Software Development at Tesco, you hold a senior engineering management role and are the first level at which you manage other managers. About the Team: Within Tesco Data & Analytics, we help our customers and the communities where we operate get the most value from data. We build and run Tesco's data platforms, we architect and engineer data onto these platforms, provide capabilities and tools to the analytics community across Tesco, and develop data products at scale. Our Data Science teams are involved in a broad range of projects, spanning across supply chain, logistics, store and online. These include projects in the areas of Operations Optimisations, Commercial Decision Support (e.g. Forecasting and Range Optimisation), Online (e.g. Search and Recommendation) and Intelligent Edge (e.g. Computer Vision). Our Machine Learning Engineers work alongside our data scientists, helping with everything from development of tools and platforms, code optimisations through to deployment of solutions on the edge, cloud and big-data environments. You will be responsible for Accountability for delivering impact across teams within a directorate, as well as for effecting and leading change across the wider Technology organisation. Responsibility to lead your team with a clear sense of purpose & vision. Working with Data Scientists, Engineers, and Product teams across the software lifecycle. Hire, retain, and engage engineering managers and senior engineering talent. Promoting a culture of inclusion, autonomy, mastery, and delivery through directing, mentoring, coaching, and facilitation aligned to the broader technology organisation and Tesco values. Ensure all colleagues are supported in their careers, with personal/professional development objectives and through continuous feedback and training. Developing an environment that enables your teams to succeed in delivering and operating quality software, empowering teams to own technical decisions. Sharing knowledge with the wider engineering community. Building an effective execution process to ensure teams have awareness of overarching strategy, enabling them to be responsive during planning, development, and operational issues. Working with key stakeholders to ensure teams deliver business value. Acting decisively when required and being comfortable with managing ambiguity. Driving continuous improvement of engineering practices, efficiency of development, and fostering innovation. Empowering your team of engineers to own technical decisions whilst providing guidance and being responsible for best practices, striving to reduce waste, iterate quickly, and fail fast and forward. Take responsibility to build industry-leading and extensible software in your area of ownership. Lead and drive teams towards the right designs, architectural and programming principles, aligning to Tesco Technology's agreed standards. Evaluate the design and architectural decisions/choices of technical teams, advising on improvements to optimise systems and solutions. Working with key stakeholders, ensuring teams deliver the right value. Contributing to budget planning and forecasting for the Data Science domain. You will need An engineering background with strong knowledge of the Data Science Toolkit (Programming, Machine Learning, MLOps etc.) and bringing data science solutions into production. Key Requirements Include: Experience building and leading engineering teams within a Data Science setting. A higher degree in engineering, computer science, maths, or science. Customer focus with the right balance between outcome delivery and technical excellence. The ability to apply technical skills and know-how to solving real-world business problems. Demonstrable experience of building scalable and resilient systems. Commercial experience contributing to the success of high-impact Data Science projects within complex organisations. Awareness of emerging MLOps practices and tooling would be an advantage (e.g. feature stores and model lifecycle management). An analytical mindset and the ability to tackle specific business problems. Experience with different programming languages and a good grasp of at least one language. The ideal candidate is fluent in Python. Use of version control (Git) and related software lifecycle tooling. Understanding of common data structures and algorithms. Experience working with open-source Data-Science environments. Knowledge of open-source big-data technologies such as Apache Spark. Experience building solutions that run in the cloud, ideally Azure. Experience with software development methodologies including Scrum & Kanban. A background or strong understanding of the retail sector, logistics, and/or e-commerce would be advantageous but is not required. Practical experience with search technologies and recommender systems would be a plus. What's in it for you We're all about the little helps. That's why we make sure our Tesco colleague benefits package takes care of you - both in and out of work. Click Here to find out more! Annual bonus scheme of up to 45% of base salary. Car Cash Allowance. Holiday starting at 25 days plus a personal day (plus Bank holidays). Private medical insurance. Retirement savings plan - save between 6% - 10% and Tesco will contribute 1.5 times this amount. 26 weeks maternity and adoption leave (after 1 year's service) at full pay, followed by 13 weeks of Statutory Maternity Pay or Statutory Adoption Pay. We also offer 4 weeks fully paid paternity leave. About us Our vision at Tesco is to become every customer's favourite way to shop, whether they are at home or out on the move. Our core purpose is 'Serving our customers, communities, and planet a little better every day'. Serving means more than a transactional relationship with our customers. It means acting as a responsible and sustainable business for all stakeholders, for the communities we are part of, and for the planet. Diversity, equity, and inclusion (DE&I) at Tesco means that whoever you are and whatever your background, we always want you to feel represented and that you can be yourself at work. In short, we're a place where Everyone's Welcome . We're proud to have been accredited Disability Confident Leader and we're committed to providing a fully inclusive and accessible recruitment process. For further information on the accessibility support we can offer, please click here . We're a big business and we can offer a range of diverse full-time & part-time working patterns across our many business areas, which means that we can find something that works for you. We work in a more blended pattern - combining office and remote working. Our offices will continue to be where we connect, collaborate, and innovate.
Jan 22, 2025
Full time
About the role At Tesco, we believe in the power of spending more time together, face to face, than apart. So, during your working week, you can expect to spend 60% of your time in one of our office locations or local sites and the rest remotely. We also recognise that life looks a little different for each of us. Some people are at the start of their careers, some want the freedom to do the things they love. Others are going through life-changing moments like becoming a carer, nearing retirement, adapting to parenthood, or something else. That's why at Tesco, we always welcome a conversation about flexible working. So, talk to us throughout your application about how we can support. As a Head of Software Engineering for Machine Learning Engineering, you'll be a significant contributor to the delivery of products in one of Tesco's most strategic technology areas. You'll work with other engineers, data scientists, product managers, systems engineers, and analytics professionals to help deliver valuable and innovative outcomes for our customers. You'll work within and across our Engineering and Data Science teams, delivering scalable products that improve how we serve our customers and run our operations. As Head of Software Development at Tesco, you hold a senior engineering management role and are the first level at which you manage other managers. About the Team: Within Tesco Data & Analytics, we help our customers and the communities where we operate get the most value from data. We build and run Tesco's data platforms, we architect and engineer data onto these platforms, provide capabilities and tools to the analytics community across Tesco, and develop data products at scale. Our Data Science teams are involved in a broad range of projects, spanning across supply chain, logistics, store and online. These include projects in the areas of Operations Optimisations, Commercial Decision Support (e.g. Forecasting and Range Optimisation), Online (e.g. Search and Recommendation) and Intelligent Edge (e.g. Computer Vision). Our Machine Learning Engineers work alongside our data scientists, helping with everything from development of tools and platforms, code optimisations through to deployment of solutions on the edge, cloud and big-data environments. You will be responsible for Accountability for delivering impact across teams within a directorate, as well as for effecting and leading change across the wider Technology organisation. Responsibility to lead your team with a clear sense of purpose & vision. Working with Data Scientists, Engineers, and Product teams across the software lifecycle. Hire, retain, and engage engineering managers and senior engineering talent. Promoting a culture of inclusion, autonomy, mastery, and delivery through directing, mentoring, coaching, and facilitation aligned to the broader technology organisation and Tesco values. Ensure all colleagues are supported in their careers, with personal/professional development objectives and through continuous feedback and training. Developing an environment that enables your teams to succeed in delivering and operating quality software, empowering teams to own technical decisions. Sharing knowledge with the wider engineering community. Building an effective execution process to ensure teams have awareness of overarching strategy, enabling them to be responsive during planning, development, and operational issues. Working with key stakeholders to ensure teams deliver business value. Acting decisively when required and being comfortable with managing ambiguity. Driving continuous improvement of engineering practices, efficiency of development, and fostering innovation. Empowering your team of engineers to own technical decisions whilst providing guidance and being responsible for best practices, striving to reduce waste, iterate quickly, and fail fast and forward. Take responsibility to build industry-leading and extensible software in your area of ownership. Lead and drive teams towards the right designs, architectural and programming principles, aligning to Tesco Technology's agreed standards. Evaluate the design and architectural decisions/choices of technical teams, advising on improvements to optimise systems and solutions. Working with key stakeholders, ensuring teams deliver the right value. Contributing to budget planning and forecasting for the Data Science domain. You will need An engineering background with strong knowledge of the Data Science Toolkit (Programming, Machine Learning, MLOps etc.) and bringing data science solutions into production. Key Requirements Include: Experience building and leading engineering teams within a Data Science setting. A higher degree in engineering, computer science, maths, or science. Customer focus with the right balance between outcome delivery and technical excellence. The ability to apply technical skills and know-how to solving real-world business problems. Demonstrable experience of building scalable and resilient systems. Commercial experience contributing to the success of high-impact Data Science projects within complex organisations. Awareness of emerging MLOps practices and tooling would be an advantage (e.g. feature stores and model lifecycle management). An analytical mindset and the ability to tackle specific business problems. Experience with different programming languages and a good grasp of at least one language. The ideal candidate is fluent in Python. Use of version control (Git) and related software lifecycle tooling. Understanding of common data structures and algorithms. Experience working with open-source Data-Science environments. Knowledge of open-source big-data technologies such as Apache Spark. Experience building solutions that run in the cloud, ideally Azure. Experience with software development methodologies including Scrum & Kanban. A background or strong understanding of the retail sector, logistics, and/or e-commerce would be advantageous but is not required. Practical experience with search technologies and recommender systems would be a plus. What's in it for you We're all about the little helps. That's why we make sure our Tesco colleague benefits package takes care of you - both in and out of work. Click Here to find out more! Annual bonus scheme of up to 45% of base salary. Car Cash Allowance. Holiday starting at 25 days plus a personal day (plus Bank holidays). Private medical insurance. Retirement savings plan - save between 6% - 10% and Tesco will contribute 1.5 times this amount. 26 weeks maternity and adoption leave (after 1 year's service) at full pay, followed by 13 weeks of Statutory Maternity Pay or Statutory Adoption Pay. We also offer 4 weeks fully paid paternity leave. About us Our vision at Tesco is to become every customer's favourite way to shop, whether they are at home or out on the move. Our core purpose is 'Serving our customers, communities, and planet a little better every day'. Serving means more than a transactional relationship with our customers. It means acting as a responsible and sustainable business for all stakeholders, for the communities we are part of, and for the planet. Diversity, equity, and inclusion (DE&I) at Tesco means that whoever you are and whatever your background, we always want you to feel represented and that you can be yourself at work. In short, we're a place where Everyone's Welcome . We're proud to have been accredited Disability Confident Leader and we're committed to providing a fully inclusive and accessible recruitment process. For further information on the accessibility support we can offer, please click here . We're a big business and we can offer a range of diverse full-time & part-time working patterns across our many business areas, which means that we can find something that works for you. We work in a more blended pattern - combining office and remote working. Our offices will continue to be where we connect, collaborate, and innovate.
Head of Operations Siemens Healthineers Magnet Technology has an exciting opportunity for an experienced leader to lead, motivate, and support a large team in a fast-paced and demanding environment. In this role, you will be responsible for delivering the Magnet Technology product portfolio to meet customer requirements with the highest standards of quality and cost efficiency. You will work across all manufacturing areas within Supply Chain Management, driving operational excellence and striving for world-class manufacturing status. By leading continuous improvement initiatives and eliminating waste, you will play a crucial role in maximising profitability and ensuring the ongoing success of the existing site in Eynsham, Oxford and our new 4.0 production facility based in Bicester, Oxfordshire. Your tasks and responsibilities: Collaborate with the Senior Leadership Team to shape strategic plans, identify business opportunities, and develop innovative strategies for long-term success, ensuring alignment with the Operations team. Develop and manage financial budgets to achieve key performance indicators (KPIs) such as revenue, profit, and cost of quality, driving financial and operational performance. Build a high-performance culture by promoting ownership, accountability, and adherence to safety (EHS) and operational excellence, ensuring the team's objectives align with overarching strategic themes. Ensure workforce planning meets customer demands by optimising labour resource capacity and implementing robust training programs to support current and future production needs. Evolve the manufacturing facility in line with long-term strategies and new product requirements, maintaining flexibility and adaptability in operations. Champion a world-class Quality culture by upholding stringent quality standards, resolving manufacturing challenges, and embedding a culture of continuous improvement. Lead initiatives to drive Lean manufacturing principles and best practices, fostering efficiency, waste reduction, and the pursuit of operational excellence. Develop, maintain, and utilise scorecards and KPIs to monitor performance, support decision-making, and drive improvement across all operational areas. Your qualifications and experience: A role model in clear, logical communication at all organisational levels, capable of leading discussions, presenting structured arguments, and fostering open dialogue. Advanced expertise in Lean principles, Statistical Process Control (SPC), 8D problem-solving, and Value Stream Mapping (VSM), with the ability to implement and facilitate these tools effectively. Skilled in using standard business and manufacturing software, such as ERP systems (e.g., SAP), project management tools (e.g., MS Project), and workforce modelling platforms. Proficient in methodologies like Value Stream Mapping, Strategic Goal Alignment (Hoshin Kanri), Structured Problem Solving, and Agile Visual Management to enhance operational efficiency. Strong understanding of manufacturing processes and products across multiple departments, with the ability to connect workflows to operational goals. Education • Degree or equivalent experience in relevant Operations, Business Management, Supply Chain Management subject • Proven experience in a Senior Operations Management position Why Siemens Healthineers? We offer excellent benefits, including 26 days holiday + Bank Holidays (with the option to buy/sell more) , annual bonus, BUPA, up to 10% employer pension contribution , onsite gym, subsidized restaurant, share scheme, and free onsite parking. Be part of a team that is pushing boundaries in healthcare innovation . Our projects impact lives globally, from diagnostics and image-guided therapy to cancer care and advanced manufacturing technologies. Our culture: At Siemens Healthineers, we pioneer breakthroughs in healthcare. For everyone. Everywhere. Sustainabily We are an inclusive and diverse global team of over 71,000 employees across 70+ countries. Together, we are passionate about improving lives through innovation and collaboration. If this sounds like the opportunity you've been waiting for, join us and help shape the future of healthcare manufacturing! How we work: When you join Siemens Healthineers, you become one in a global team of scientists, clinicians, developers, researchers, professionals, and skilled specialists, who believe in each individual's potential to contribute with diverse ideas. We are from different backgrounds, cultures, religions, political and/or sexual orientations, and work together, to fight the world's most threatening diseases and enable access to care, united by one purpose: to pioneer breakthroughs in healthcare. For everyone. Everywhere. Sustainably. Check our Careers Site at Siemens Healthineers - Oxford url removed As an equal opportunity employer, we welcome applications from individuals with disabilities. We care about your data privacy and take compliance with GDPR as well as other data protection legislation seriously. For this reason, we ask you not to send us your CV or resume by email. Please create a profile within our talent community and subscribe to personalized job alert that will keep you posted about new opportunities. To all recruitment agencies: Siemens Healthineers' recruitment is internally managed, with external support permitted only when a qualified supplier has established a formal contract with us. Unsolicited candidate submissions and referrals, absent a current supplier contract, do not establish consent and are ineligible for fees. We delete and destroy unsolicited information, thus, would recommend you refrain from any such practices. Your adherence to our policies is appreciated.
Jan 22, 2025
Full time
Head of Operations Siemens Healthineers Magnet Technology has an exciting opportunity for an experienced leader to lead, motivate, and support a large team in a fast-paced and demanding environment. In this role, you will be responsible for delivering the Magnet Technology product portfolio to meet customer requirements with the highest standards of quality and cost efficiency. You will work across all manufacturing areas within Supply Chain Management, driving operational excellence and striving for world-class manufacturing status. By leading continuous improvement initiatives and eliminating waste, you will play a crucial role in maximising profitability and ensuring the ongoing success of the existing site in Eynsham, Oxford and our new 4.0 production facility based in Bicester, Oxfordshire. Your tasks and responsibilities: Collaborate with the Senior Leadership Team to shape strategic plans, identify business opportunities, and develop innovative strategies for long-term success, ensuring alignment with the Operations team. Develop and manage financial budgets to achieve key performance indicators (KPIs) such as revenue, profit, and cost of quality, driving financial and operational performance. Build a high-performance culture by promoting ownership, accountability, and adherence to safety (EHS) and operational excellence, ensuring the team's objectives align with overarching strategic themes. Ensure workforce planning meets customer demands by optimising labour resource capacity and implementing robust training programs to support current and future production needs. Evolve the manufacturing facility in line with long-term strategies and new product requirements, maintaining flexibility and adaptability in operations. Champion a world-class Quality culture by upholding stringent quality standards, resolving manufacturing challenges, and embedding a culture of continuous improvement. Lead initiatives to drive Lean manufacturing principles and best practices, fostering efficiency, waste reduction, and the pursuit of operational excellence. Develop, maintain, and utilise scorecards and KPIs to monitor performance, support decision-making, and drive improvement across all operational areas. Your qualifications and experience: A role model in clear, logical communication at all organisational levels, capable of leading discussions, presenting structured arguments, and fostering open dialogue. Advanced expertise in Lean principles, Statistical Process Control (SPC), 8D problem-solving, and Value Stream Mapping (VSM), with the ability to implement and facilitate these tools effectively. Skilled in using standard business and manufacturing software, such as ERP systems (e.g., SAP), project management tools (e.g., MS Project), and workforce modelling platforms. Proficient in methodologies like Value Stream Mapping, Strategic Goal Alignment (Hoshin Kanri), Structured Problem Solving, and Agile Visual Management to enhance operational efficiency. Strong understanding of manufacturing processes and products across multiple departments, with the ability to connect workflows to operational goals. Education • Degree or equivalent experience in relevant Operations, Business Management, Supply Chain Management subject • Proven experience in a Senior Operations Management position Why Siemens Healthineers? We offer excellent benefits, including 26 days holiday + Bank Holidays (with the option to buy/sell more) , annual bonus, BUPA, up to 10% employer pension contribution , onsite gym, subsidized restaurant, share scheme, and free onsite parking. Be part of a team that is pushing boundaries in healthcare innovation . Our projects impact lives globally, from diagnostics and image-guided therapy to cancer care and advanced manufacturing technologies. Our culture: At Siemens Healthineers, we pioneer breakthroughs in healthcare. For everyone. Everywhere. Sustainabily We are an inclusive and diverse global team of over 71,000 employees across 70+ countries. Together, we are passionate about improving lives through innovation and collaboration. If this sounds like the opportunity you've been waiting for, join us and help shape the future of healthcare manufacturing! How we work: When you join Siemens Healthineers, you become one in a global team of scientists, clinicians, developers, researchers, professionals, and skilled specialists, who believe in each individual's potential to contribute with diverse ideas. We are from different backgrounds, cultures, religions, political and/or sexual orientations, and work together, to fight the world's most threatening diseases and enable access to care, united by one purpose: to pioneer breakthroughs in healthcare. For everyone. Everywhere. Sustainably. Check our Careers Site at Siemens Healthineers - Oxford url removed As an equal opportunity employer, we welcome applications from individuals with disabilities. We care about your data privacy and take compliance with GDPR as well as other data protection legislation seriously. For this reason, we ask you not to send us your CV or resume by email. Please create a profile within our talent community and subscribe to personalized job alert that will keep you posted about new opportunities. To all recruitment agencies: Siemens Healthineers' recruitment is internally managed, with external support permitted only when a qualified supplier has established a formal contract with us. Unsolicited candidate submissions and referrals, absent a current supplier contract, do not establish consent and are ineligible for fees. We delete and destroy unsolicited information, thus, would recommend you refrain from any such practices. Your adherence to our policies is appreciated.
Job Summary We are currently seeking an experienced data analyst to join our Informatics team who will lead advanced analyses of methodological data to inform study design decisions. The Informatics team utilizes informatics principles and techniques to architect, mine, analyze, and visualize clinical trial data to inform study design choices for pharmaceutical development. The informaticist will create predictive data models to identify and analyze patterns, then program compelling visualizations of the data to support feasibility strategies. The team is seeking an experienced candidate for a senior-level position to contribute new skills to our team, support team growth, and foster fellow analyst development. The Informatics Team is a highly collaborative team with members in both the Cincinnati and London offices. This team supports clinical operation, medical, and feasibility teams with advanced data query and analysis. The Informatics Team also works side-by-side with business analytics and software engineering to architect innovative data storage and access solutions for optimal data utilization strategies. If you are an individual with experience in informatics, data science, statistics or epidemiology, please review the following career opportunity. Responsibilities Utilize advanced statistical methods to develop predictive algorithms of methodological and clinical data; Develop dashboards and web applications to enable Medpace teams' access to, and interpretation of, clinical operations data; Translate the results of feasibility research and analysis into compelling data visualizations which illustrate the overall feasibility strategy for proposals and bid defense meetings; Perform comprehensive review of data sources to deliver high quality informatics data and analysis to teams; Develop and map database architecture of methodological and clinical data systems; Support departmental process improvement initiatives; Participate in training and development of more junior team members. Qualifications Master's degree in informatics, computer science/engineering, health information, statistics, or related field required, PhD preferred; Advanced computer programming skills (preferred language: R); Analytical thinker with great attention to detail; Ability to prioritize multiple projects and tasks within tight timelines; Excellent written and verbal communication skills; Participate in training and development of more junior team members. Medpace Overview Medpace is a full-service clinical contract research organization (CRO). We provide Phase I-IV clinical development services to the biotechnology, pharmaceutical and medical device industries. Our mission is to accelerate the global development of safe and effective medical therapeutics through its scientific and disciplined approach. We leverage local regulatory and therapeutic expertise across all major areas including oncology, cardiology, metabolic disease, endocrinology, central nervous system, anti-viral and anti-infective. Headquartered in Cincinnati, Ohio, employing more than 5,000 people across 40+ countries. Why Medpace? People. Purpose. Passion. Make a Difference Tomorrow. Join Us Today. The work we've done over the past 30+ years has positively impacted the lives of countless patients and families who face hundreds of diseases across all key therapeutic areas. The work we do today will improve the lives of people living with illness and disease in the future. Medpace Perks Flexible work environment Competitive compensation and benefits package Competitive PTO packages Structured career paths with opportunities for professional growth Company-sponsored employee appreciation events Employee health and wellness initiatives Awards Recognized by Forbes as one of America's Most Successful Midsize Companies in 2021, 2022, 2023 and 2024 Continually recognized with CRO Leadership Awards from Life Science Leader magazine based on expertise, quality, capabilities, reliability, and compatibility. What to Expect Next A Medpace team member will review your qualifications and, if interested, you will be contacted with details for next steps. EO/AA Employer M/F/Disability/Vets
Jan 22, 2025
Full time
Job Summary We are currently seeking an experienced data analyst to join our Informatics team who will lead advanced analyses of methodological data to inform study design decisions. The Informatics team utilizes informatics principles and techniques to architect, mine, analyze, and visualize clinical trial data to inform study design choices for pharmaceutical development. The informaticist will create predictive data models to identify and analyze patterns, then program compelling visualizations of the data to support feasibility strategies. The team is seeking an experienced candidate for a senior-level position to contribute new skills to our team, support team growth, and foster fellow analyst development. The Informatics Team is a highly collaborative team with members in both the Cincinnati and London offices. This team supports clinical operation, medical, and feasibility teams with advanced data query and analysis. The Informatics Team also works side-by-side with business analytics and software engineering to architect innovative data storage and access solutions for optimal data utilization strategies. If you are an individual with experience in informatics, data science, statistics or epidemiology, please review the following career opportunity. Responsibilities Utilize advanced statistical methods to develop predictive algorithms of methodological and clinical data; Develop dashboards and web applications to enable Medpace teams' access to, and interpretation of, clinical operations data; Translate the results of feasibility research and analysis into compelling data visualizations which illustrate the overall feasibility strategy for proposals and bid defense meetings; Perform comprehensive review of data sources to deliver high quality informatics data and analysis to teams; Develop and map database architecture of methodological and clinical data systems; Support departmental process improvement initiatives; Participate in training and development of more junior team members. Qualifications Master's degree in informatics, computer science/engineering, health information, statistics, or related field required, PhD preferred; Advanced computer programming skills (preferred language: R); Analytical thinker with great attention to detail; Ability to prioritize multiple projects and tasks within tight timelines; Excellent written and verbal communication skills; Participate in training and development of more junior team members. Medpace Overview Medpace is a full-service clinical contract research organization (CRO). We provide Phase I-IV clinical development services to the biotechnology, pharmaceutical and medical device industries. Our mission is to accelerate the global development of safe and effective medical therapeutics through its scientific and disciplined approach. We leverage local regulatory and therapeutic expertise across all major areas including oncology, cardiology, metabolic disease, endocrinology, central nervous system, anti-viral and anti-infective. Headquartered in Cincinnati, Ohio, employing more than 5,000 people across 40+ countries. Why Medpace? People. Purpose. Passion. Make a Difference Tomorrow. Join Us Today. The work we've done over the past 30+ years has positively impacted the lives of countless patients and families who face hundreds of diseases across all key therapeutic areas. The work we do today will improve the lives of people living with illness and disease in the future. Medpace Perks Flexible work environment Competitive compensation and benefits package Competitive PTO packages Structured career paths with opportunities for professional growth Company-sponsored employee appreciation events Employee health and wellness initiatives Awards Recognized by Forbes as one of America's Most Successful Midsize Companies in 2021, 2022, 2023 and 2024 Continually recognized with CRO Leadership Awards from Life Science Leader magazine based on expertise, quality, capabilities, reliability, and compatibility. What to Expect Next A Medpace team member will review your qualifications and, if interested, you will be contacted with details for next steps. EO/AA Employer M/F/Disability/Vets
Job Title: Senior Data Scientist - Health About the Role Our client, a global leader in health-tech AI solutions , is seeking a Senior Data Scientist to join their UK-based team. This is a rare opportunity to apply advanced analytics and data science techniques to solve significant challenges in the health sector, from improving patient outcomes to optimizing operational efficiencies. You will lead key analytics initiatives, working with cutting-edge technologies like Palantir Foundry to unlock the full potential of complex healthcare datasets. Collaborating with a multidisciplinary team, you'll design and implement solutions that drive meaningful change across the industry. Key Responsibilities Analytics Leadership & Delivery: Lead project teams to deliver high-quality analytics solutions, ensuring alignment with client goals. Drive impactful projects that leverage advanced AI and data science techniques to transform healthcare operations. Technical Execution: Utilize tools like Palantir Foundry to integrate and analyze disparate datasets, creating unified views for actionable insights. Deliver comprehensive analytics processes, including data quality assessments, feature engineering, model development, and insights visualization. Apply advanced machine learning methods to optimize resource allocation, predict patient outcomes, and enhance operational efficiency. Collaboration & Client Engagement: Work closely with stakeholders to understand objectives, tailoring data-driven solutions to address complex health challenges. Collaborate with other data scientists, analysts, and engineers to foster innovation and maintain a high-performance environment. Team Development: Share knowledge, mentor team members, and contribute to a culture of continuous learning and growth. What You Bring Technical Expertise: At least 5 years of experience in data analytics or data science, with strong proficiency in Python, SQL, and Spark. Health Sector Experience: Familiarity with healthcare datasets or experience in pharma, medtech, or hospitals. Advanced Analytics Knowledge: Expertise in data preparation, feature engineering, model training, and statistical methodologies. Palantir Foundry Proficiency: Hands-on experience with Foundry, leveraging its capabilities to integrate, analyze, and deliver insights from complex datasets. Academic Background: A degree in engineering, mathematics, actuarial studies, statistics, physics, or a related field. Consultative Approach: Proven ability to build trusted relationships with stakeholders and develop tailored, impactful solutions. Agile Mindset: Ability to thrive in a dynamic, fast-paced environment while maintaining exceptional quality standards. Collaborative Spirit: Strong experience working within diverse teams, contributing to a culture of innovation and collaboration. Why Palantir Foundry? Palantir Foundry is a powerful platform that enables seamless integration of complex healthcare data, unlocking transformative insights. In this role, you'll use Foundry to: Unify Data Sources: Combine disparate healthcare, operational, and financial datasets into a single, coherent view. Enhance Decision-Making: Build scalable workflows that enable predictive analytics and real-time insights. Foster Collaboration: Empower cross-functional teams with a shared platform for actionable, data-driven strategies. What's on Offer? Our client offers a dynamic, collaborative environment where you can push the boundaries of innovation and make a tangible impact in the health sector. You'll have access to: Career Growth: Opportunities to shape your career path, with the freedom to explore new roles, teams, or projects. Flexible Work Arrangements: Hybrid work options and the ability to work remotely for up to 2 months per year. Continuous Learning: Participate in learning initiatives, technical excellence programs, and thought leadership communities. A Supportive Culture: Join a team that values diversity, collaboration, and making a difference. If you're passionate about using advanced data science to transform healthcare and thrive in a fast-paced, innovative environment, apply today!
Jan 22, 2025
Full time
Job Title: Senior Data Scientist - Health About the Role Our client, a global leader in health-tech AI solutions , is seeking a Senior Data Scientist to join their UK-based team. This is a rare opportunity to apply advanced analytics and data science techniques to solve significant challenges in the health sector, from improving patient outcomes to optimizing operational efficiencies. You will lead key analytics initiatives, working with cutting-edge technologies like Palantir Foundry to unlock the full potential of complex healthcare datasets. Collaborating with a multidisciplinary team, you'll design and implement solutions that drive meaningful change across the industry. Key Responsibilities Analytics Leadership & Delivery: Lead project teams to deliver high-quality analytics solutions, ensuring alignment with client goals. Drive impactful projects that leverage advanced AI and data science techniques to transform healthcare operations. Technical Execution: Utilize tools like Palantir Foundry to integrate and analyze disparate datasets, creating unified views for actionable insights. Deliver comprehensive analytics processes, including data quality assessments, feature engineering, model development, and insights visualization. Apply advanced machine learning methods to optimize resource allocation, predict patient outcomes, and enhance operational efficiency. Collaboration & Client Engagement: Work closely with stakeholders to understand objectives, tailoring data-driven solutions to address complex health challenges. Collaborate with other data scientists, analysts, and engineers to foster innovation and maintain a high-performance environment. Team Development: Share knowledge, mentor team members, and contribute to a culture of continuous learning and growth. What You Bring Technical Expertise: At least 5 years of experience in data analytics or data science, with strong proficiency in Python, SQL, and Spark. Health Sector Experience: Familiarity with healthcare datasets or experience in pharma, medtech, or hospitals. Advanced Analytics Knowledge: Expertise in data preparation, feature engineering, model training, and statistical methodologies. Palantir Foundry Proficiency: Hands-on experience with Foundry, leveraging its capabilities to integrate, analyze, and deliver insights from complex datasets. Academic Background: A degree in engineering, mathematics, actuarial studies, statistics, physics, or a related field. Consultative Approach: Proven ability to build trusted relationships with stakeholders and develop tailored, impactful solutions. Agile Mindset: Ability to thrive in a dynamic, fast-paced environment while maintaining exceptional quality standards. Collaborative Spirit: Strong experience working within diverse teams, contributing to a culture of innovation and collaboration. Why Palantir Foundry? Palantir Foundry is a powerful platform that enables seamless integration of complex healthcare data, unlocking transformative insights. In this role, you'll use Foundry to: Unify Data Sources: Combine disparate healthcare, operational, and financial datasets into a single, coherent view. Enhance Decision-Making: Build scalable workflows that enable predictive analytics and real-time insights. Foster Collaboration: Empower cross-functional teams with a shared platform for actionable, data-driven strategies. What's on Offer? Our client offers a dynamic, collaborative environment where you can push the boundaries of innovation and make a tangible impact in the health sector. You'll have access to: Career Growth: Opportunities to shape your career path, with the freedom to explore new roles, teams, or projects. Flexible Work Arrangements: Hybrid work options and the ability to work remotely for up to 2 months per year. Continuous Learning: Participate in learning initiatives, technical excellence programs, and thought leadership communities. A Supportive Culture: Join a team that values diversity, collaboration, and making a difference. If you're passionate about using advanced data science to transform healthcare and thrive in a fast-paced, innovative environment, apply today!
Our Team The Data team is a cross-functional team of experienced and passionate data enthusiasts. We use and own modern data tools (Fivetran, Snowflake, dbt, Looker) and cover a diverse range of data problems and stakeholders. What we're offering you: Flexible hours and summer hours Competitive holiday benefits (25 days a year paid holiday, plus 8 bank holidays) Work from anywhere for 2 weeks a year Life Assurance to protect your loved ones Benefits allowance for health, dental, and vision coverage Defined Contribution Pension and Salary Sacrifice Scheme Be Well: Our award-winning wellbeing and mental health programme to support all MVFers and their families Family Forward support for our MVF parents and their mini-mes Free breakfast when in the office The Role MVF is seeking an exceptionally skilled and driven Data Scientist to deliver upon our plans for growth. This is a hybrid-role across Data Science and ML Engineering: we would like someone with either a background in machine learning engineering, but a desire to learn and grow in creating data science products or vice versa. You will be pivotal in building our Data Science and Machine Learning capabilities in order to hit our strategic goals. These are the problem spaces in our backlog: Recommendation systems - predicting cross-sell opportunities Imbalanced classification - predicting the value of leads Optimisation (e.g., Linear programming) - optimising which leads / products we sell to which client Forecasting - predicting client demand Experimentation You will be communicative, commercially-minded, with a strong team-spirit. You will enjoy collaborating with stakeholders, as you will be delivering value across the business, from Paid Marketing to Operations and Sales. Reporting to the Head of Data, you will collaborate closely with a Senior Data Scientist to deliver upon our roadmap. You will have support from Analytics Engineering teams to build and maintain pipelines and from Software Engineering teams to productionize models. The ideal candidate will relish the opportunity to understand their stakeholders more deeply and define where they think they (and Data Science) can add the most value. With support, they will be excited to build data science models from inception to production. Responsibilities: Build and manage a Machine Learning Platform by selecting and integrating tools that complement the existing data ecosystem (AWS, Snowflake) Productionise ML models, ensuring that they are running scalably, efficiently and robustly Develop Data Science/Machine Learning products addressing key business needs in accordance with ML best practices What Success Looks Like: Building effective and efficient Data Science models that deliver measurable business value Ensuring Machine Learning is executed using best-in-class tools, techniques, and approaches within budget and time constraints Ensuring exceptional data integrity and quality across all projects Develop ML monitoring and observability pipeline for deployed models Our Ideal MVF'er: 3+ years of experience in a dedicated Data Science/Machine Learning role; additional data or commercial experience is a plus Strong understanding of mathematical background, focusing on statistics and linear algebra Highly proficient in Python (Pandas, Scikit-Learn, PyTorch, PySpark) and SQL Experience with Snowflake (function & procedure) and Snowpark is a plus Experience with unit and integration tests Strong understanding of machine learning algorithms and best practices Vision for MLOps best practices, particularly regarding version control, Docker, MLFlow, CI/CD Strong communication skills, with the ability to engage effectively with diverse stakeholders Good commercial understanding; knowledge of marketing operations is a bonus
Jan 22, 2025
Full time
Our Team The Data team is a cross-functional team of experienced and passionate data enthusiasts. We use and own modern data tools (Fivetran, Snowflake, dbt, Looker) and cover a diverse range of data problems and stakeholders. What we're offering you: Flexible hours and summer hours Competitive holiday benefits (25 days a year paid holiday, plus 8 bank holidays) Work from anywhere for 2 weeks a year Life Assurance to protect your loved ones Benefits allowance for health, dental, and vision coverage Defined Contribution Pension and Salary Sacrifice Scheme Be Well: Our award-winning wellbeing and mental health programme to support all MVFers and their families Family Forward support for our MVF parents and their mini-mes Free breakfast when in the office The Role MVF is seeking an exceptionally skilled and driven Data Scientist to deliver upon our plans for growth. This is a hybrid-role across Data Science and ML Engineering: we would like someone with either a background in machine learning engineering, but a desire to learn and grow in creating data science products or vice versa. You will be pivotal in building our Data Science and Machine Learning capabilities in order to hit our strategic goals. These are the problem spaces in our backlog: Recommendation systems - predicting cross-sell opportunities Imbalanced classification - predicting the value of leads Optimisation (e.g., Linear programming) - optimising which leads / products we sell to which client Forecasting - predicting client demand Experimentation You will be communicative, commercially-minded, with a strong team-spirit. You will enjoy collaborating with stakeholders, as you will be delivering value across the business, from Paid Marketing to Operations and Sales. Reporting to the Head of Data, you will collaborate closely with a Senior Data Scientist to deliver upon our roadmap. You will have support from Analytics Engineering teams to build and maintain pipelines and from Software Engineering teams to productionize models. The ideal candidate will relish the opportunity to understand their stakeholders more deeply and define where they think they (and Data Science) can add the most value. With support, they will be excited to build data science models from inception to production. Responsibilities: Build and manage a Machine Learning Platform by selecting and integrating tools that complement the existing data ecosystem (AWS, Snowflake) Productionise ML models, ensuring that they are running scalably, efficiently and robustly Develop Data Science/Machine Learning products addressing key business needs in accordance with ML best practices What Success Looks Like: Building effective and efficient Data Science models that deliver measurable business value Ensuring Machine Learning is executed using best-in-class tools, techniques, and approaches within budget and time constraints Ensuring exceptional data integrity and quality across all projects Develop ML monitoring and observability pipeline for deployed models Our Ideal MVF'er: 3+ years of experience in a dedicated Data Science/Machine Learning role; additional data or commercial experience is a plus Strong understanding of mathematical background, focusing on statistics and linear algebra Highly proficient in Python (Pandas, Scikit-Learn, PyTorch, PySpark) and SQL Experience with Snowflake (function & procedure) and Snowpark is a plus Experience with unit and integration tests Strong understanding of machine learning algorithms and best practices Vision for MLOps best practices, particularly regarding version control, Docker, MLFlow, CI/CD Strong communication skills, with the ability to engage effectively with diverse stakeholders Good commercial understanding; knowledge of marketing operations is a bonus
Your work will change lives. Including your own. The Impact You'll Make Recursion is a pioneering TechBio company that leverages AI and machine learning to decode biology and accelerate drug discovery, with data as a key differentiator and value driver. We are seeking a Senior AI/HPC Storage Engineer to join our innovative team. In this role, you will be instrumental in designing, implementing, and managing advanced AI/HPC data systems that propel our groundbreaking drug discovery research. You will leverage your expertise in infrastructure solutions for Science to ensure the performance, scalability, and reliability of our storage systems. Your work will involve creating and maintaining robust infrastructure, automating processes, and optimizing storage systems to handle massive amounts of data and complex computational workloads, while ensuring high data integrity. In this role: You will be responsible for designing, implementing, testing, maintaining, and optimizing our data storage infrastructure and services, utilizing an Infrastructure as Code approach across both on-premises and public cloud environments. Your leadership and technical expertise will be key in driving innovation across all storage tiers within our AI/HPC infrastructure, ensuring we deliver a scalable and effective data platform to support our mission. By developing scripts and workflows, you will automate and verify storage infrastructure provisioning and dynamic reconfiguration, enhancing support for our AI/HPC storage environments. Your meticulous attention to detail will be crucial for performance analysis, benchmarking, troubleshooting and fine-tuning of our data storage systems and services, while efficiently managing user tickets. Your role also includes researching, deploying, and optimizing accessibility, performance, security, and data lifecycle management policies. Regular assessments of our storage platforms' health and operational performance against established metrics will be part of your responsibilities, with a focus on meeting and exceeding operational service level objectives. Finally, as a lead in technical communication and customer collaboration, your efforts will ensure high levels of customer satisfaction. This role presents a unique opportunity to make a meaningful impact within our organization and the broader scientific community. Location: This position is based at our headquarters in Salt Lake City, Utah, or in our offices in Toronto, Canada, or London, United Kingdom. We may also consider a hybrid working arrangement. We ask that hybrid employees commit to regular on-site visits for routine work and departmental events. The Team You'll Join As a Senior AI/HPC Storage Engineer, you will be a part of our dedicated HPC Engineering and Operations team, reporting directly to the Director. This dynamic team includes 3 experienced Engineers, and with the addition of this role, you'll be part of an empowered, cross-functional unit. Our HPC team works in a fast-paced, collaborative environment, handling a broad spectrum of Scientific Infrastructure projects. These range from developing advanced, scalable infrastructure to deploying and managing AI/HPC resources and automating operational processes. The team also plays a crucial role in the curation of our vast data platform, which caters to a diverse set of professionals, including biologists, data scientists, and automation engineers. We're home to BioHive, the industry's most powerful supercomputer and our HPC team is constantly pushing the boundaries in the field of supercomputing in the TechBio industry. As part of this team, you will collaborate on projects that streamline and optimize our machine learning workflows and scientific computing tasks, driving efficient and transformative solutions. This is a unique opportunity to join a team that thrives on innovation, collaboration, and inclusivity in a role that is pivotal to our mission. The Experience You'll Need A minimum of 7 years of experience in managing data storage infrastructure, preferably within global BioPharma organizations. In-depth knowledge of distributed/parallel file systems (IBM Storage Scale GPFS), multi-tier file (NAS), hybrid object storage (MinIO), and storage access and data transfer networking protocols. Experience with RDMA-capable high-speed networking. Extensive experience designing, deploying, testing, supporting, and troubleshooting complex Linux-based computing and data storage environments. Python programming and Bash scripting experience. In-depth hands-on experience in provisioning, configuring, and managing infrastructure through modern CI/CD techniques, GitOps, Infrastructure as Code (IaC) and cloud automation principles. Solid experience with software-defined infrastructure and cloud computing platforms, including Kubernetes, GCP, AWS, and others. Practical knowledge of resource management and job scheduling using Slurm and Kubernetes. Knowledge of container technologies like Apptainer and Docker. Strong verbal and written communication skills for effective documentation and collaboration. Prior experience mentoring, guiding, and cross-training team members. How You'll be Supported At Recursion, we're working to solve some of the most meaningful challenges in human health. During onboarding, you'll be introduced to the Recursion Mindset and Recursion OS through a blend of in-person and online resources designed to help you quickly embrace our culture. You'll be paired with an onboarding "Trail Guide" to support you in your first months and connect with colleagues, both in person and remotely, who will guide you through the traditional and Recursion-specific aspects of your role. Additionally, you'll join onboarding events, like Decoding Recursion, to deepen your understanding and integration into the team. The Values That We Hope You Share: We Care: We care about our drug candidates, our Recursionauts, their families, each other, our communities, the patients we aim to serve and their loved ones. We also care about our work. We Learn: Learning from the diverse perspectives of our fellow Recursionauts, and from failure, is an essential part of how we make progress. We Deliver: We are unapologetic that our expectations for delivery are extraordinarily high. There is urgency to our existence: we sprint at maximum engagement, making time and space to recover. Act Boldly with Integrity: No company changes the world or reinvents an industry without being bold. It must be balanced; not by timidity, but by doing the right thing even when no one is looking. We are One Recursion: We operate with a 'company first, team second' mentality. Our success comes from working as one interdisciplinary team. Recursion spends time and energy connecting every aspect of work to these values. They aren't static, but regularly discussed and questioned because we make decisions rooted in those values in our day-to-day work. More About Recursion Recursion is a clinical stage TechBio company leading the space by decoding biology to industrialize drug discovery. Enabling its mission is the Recursion OS, a platform built across diverse technologies that continuously expands one of the world's largest proprietary biological and chemical datasets. Recursion leverages sophisticated machine-learning algorithms to distill from its dataset a collection of trillions of searchable relationships across biology and chemistry unconstrained by human bias. By commanding massive experimental scale - up to millions of wet lab experiments weekly - and massive computational scale - owning and operating one of the most powerful supercomputers in the world, Recursion is uniting technology, biology and chemistry to advance the future of medicine.
Jan 22, 2025
Full time
Your work will change lives. Including your own. The Impact You'll Make Recursion is a pioneering TechBio company that leverages AI and machine learning to decode biology and accelerate drug discovery, with data as a key differentiator and value driver. We are seeking a Senior AI/HPC Storage Engineer to join our innovative team. In this role, you will be instrumental in designing, implementing, and managing advanced AI/HPC data systems that propel our groundbreaking drug discovery research. You will leverage your expertise in infrastructure solutions for Science to ensure the performance, scalability, and reliability of our storage systems. Your work will involve creating and maintaining robust infrastructure, automating processes, and optimizing storage systems to handle massive amounts of data and complex computational workloads, while ensuring high data integrity. In this role: You will be responsible for designing, implementing, testing, maintaining, and optimizing our data storage infrastructure and services, utilizing an Infrastructure as Code approach across both on-premises and public cloud environments. Your leadership and technical expertise will be key in driving innovation across all storage tiers within our AI/HPC infrastructure, ensuring we deliver a scalable and effective data platform to support our mission. By developing scripts and workflows, you will automate and verify storage infrastructure provisioning and dynamic reconfiguration, enhancing support for our AI/HPC storage environments. Your meticulous attention to detail will be crucial for performance analysis, benchmarking, troubleshooting and fine-tuning of our data storage systems and services, while efficiently managing user tickets. Your role also includes researching, deploying, and optimizing accessibility, performance, security, and data lifecycle management policies. Regular assessments of our storage platforms' health and operational performance against established metrics will be part of your responsibilities, with a focus on meeting and exceeding operational service level objectives. Finally, as a lead in technical communication and customer collaboration, your efforts will ensure high levels of customer satisfaction. This role presents a unique opportunity to make a meaningful impact within our organization and the broader scientific community. Location: This position is based at our headquarters in Salt Lake City, Utah, or in our offices in Toronto, Canada, or London, United Kingdom. We may also consider a hybrid working arrangement. We ask that hybrid employees commit to regular on-site visits for routine work and departmental events. The Team You'll Join As a Senior AI/HPC Storage Engineer, you will be a part of our dedicated HPC Engineering and Operations team, reporting directly to the Director. This dynamic team includes 3 experienced Engineers, and with the addition of this role, you'll be part of an empowered, cross-functional unit. Our HPC team works in a fast-paced, collaborative environment, handling a broad spectrum of Scientific Infrastructure projects. These range from developing advanced, scalable infrastructure to deploying and managing AI/HPC resources and automating operational processes. The team also plays a crucial role in the curation of our vast data platform, which caters to a diverse set of professionals, including biologists, data scientists, and automation engineers. We're home to BioHive, the industry's most powerful supercomputer and our HPC team is constantly pushing the boundaries in the field of supercomputing in the TechBio industry. As part of this team, you will collaborate on projects that streamline and optimize our machine learning workflows and scientific computing tasks, driving efficient and transformative solutions. This is a unique opportunity to join a team that thrives on innovation, collaboration, and inclusivity in a role that is pivotal to our mission. The Experience You'll Need A minimum of 7 years of experience in managing data storage infrastructure, preferably within global BioPharma organizations. In-depth knowledge of distributed/parallel file systems (IBM Storage Scale GPFS), multi-tier file (NAS), hybrid object storage (MinIO), and storage access and data transfer networking protocols. Experience with RDMA-capable high-speed networking. Extensive experience designing, deploying, testing, supporting, and troubleshooting complex Linux-based computing and data storage environments. Python programming and Bash scripting experience. In-depth hands-on experience in provisioning, configuring, and managing infrastructure through modern CI/CD techniques, GitOps, Infrastructure as Code (IaC) and cloud automation principles. Solid experience with software-defined infrastructure and cloud computing platforms, including Kubernetes, GCP, AWS, and others. Practical knowledge of resource management and job scheduling using Slurm and Kubernetes. Knowledge of container technologies like Apptainer and Docker. Strong verbal and written communication skills for effective documentation and collaboration. Prior experience mentoring, guiding, and cross-training team members. How You'll be Supported At Recursion, we're working to solve some of the most meaningful challenges in human health. During onboarding, you'll be introduced to the Recursion Mindset and Recursion OS through a blend of in-person and online resources designed to help you quickly embrace our culture. You'll be paired with an onboarding "Trail Guide" to support you in your first months and connect with colleagues, both in person and remotely, who will guide you through the traditional and Recursion-specific aspects of your role. Additionally, you'll join onboarding events, like Decoding Recursion, to deepen your understanding and integration into the team. The Values That We Hope You Share: We Care: We care about our drug candidates, our Recursionauts, their families, each other, our communities, the patients we aim to serve and their loved ones. We also care about our work. We Learn: Learning from the diverse perspectives of our fellow Recursionauts, and from failure, is an essential part of how we make progress. We Deliver: We are unapologetic that our expectations for delivery are extraordinarily high. There is urgency to our existence: we sprint at maximum engagement, making time and space to recover. Act Boldly with Integrity: No company changes the world or reinvents an industry without being bold. It must be balanced; not by timidity, but by doing the right thing even when no one is looking. We are One Recursion: We operate with a 'company first, team second' mentality. Our success comes from working as one interdisciplinary team. Recursion spends time and energy connecting every aspect of work to these values. They aren't static, but regularly discussed and questioned because we make decisions rooted in those values in our day-to-day work. More About Recursion Recursion is a clinical stage TechBio company leading the space by decoding biology to industrialize drug discovery. Enabling its mission is the Recursion OS, a platform built across diverse technologies that continuously expands one of the world's largest proprietary biological and chemical datasets. Recursion leverages sophisticated machine-learning algorithms to distill from its dataset a collection of trillions of searchable relationships across biology and chemistry unconstrained by human bias. By commanding massive experimental scale - up to millions of wet lab experiments weekly - and massive computational scale - owning and operating one of the most powerful supercomputers in the world, Recursion is uniting technology, biology and chemistry to advance the future of medicine.
StackAdapt is a self-serve advertising platform that specializes in multi-channel solutions including native, display, video, connected TV, audio, in-game, and digital out-of-home ads. We empower hundreds of digitally-focused companies to deliver outcomes and exceptional campaign performance every day. StackAdapt was founded with a vision to be more than an advertising platform, it's a hub of innovation, imagination, and creativity. We are searching for a talented Data Scientist to join our engineering team as we continue to expand our data science efforts. Our platform is connected to thousands of publishers and advertisers worldwide and as a result, we're dealing with millions of requests each second, making billions of decisions. We utilize the latest technologies to solve challenges in traffic, data storage, machine learning, and scalability. StackAdapt is a Remote First company, and we are open to candidates located anywhere in the UK for this position. What you'll be doing: Innovate ML algorithms to maximize ROI and advertising performance. This ranges from creating entirely new algorithms, to improvements on state-of-the-art methods, to development using a deep understanding of classic methods. Write production code, sometimes collaborating with Data Engineers, to implement the novel ML algorithms. Prototype potential algorithms and pipelines, test them using historical data, and iterate to modify based on insights. What you'll bring to the table: Have a Masters degree or PhD in Computer Science, Statistics, Operations Research, or a related field, with dual degrees a plus. Have the ability to take an ambiguously defined task, and break it down into actionable steps. Have a comprehensive understanding of statistics, optimization, and machine learning. Are proficient in coding, data structures, and algorithms. Enjoy working in a friendly, collaborative environment with others. StackAdapters enjoy: Competitive salary. Private Medical Insurance cover. Auto-enrolment into the company pension scheme. Work from home reimbursements. Coverage and support of personal development initiatives (conferences, courses, etc). An awesome parental leave policy. A friendly, welcoming, and supportive culture. Our social and team events (virtually!). Take part in our walk and wander policy and work anywhere in the world for up to 90 days a year. If this role speaks to you then please submit an application - we'd love to speak with you. Due to a high volume of interest, only those shortlisted for interview will be contacted. StackAdapt is a diverse and inclusive team of collaborative, hardworking individuals trying to make a dent in the universe. No matter who you are, where you are from, who you love, follow in faith, disability (or superpower) status, ethnicity, or the gender you identify with (if you're comfortable, let us know your pronouns), you are welcome at StackAdapt. If you have any requests or requirements to support you throughout any part of the interview process, please let our Talent team know. About StackAdapt We've been recognized for our diverse and supportive workplace, high performing campaigns, award-winning customer service, and innovation. We've been awarded: Ad Age Best Places to Work 2024 G2 Top Software and Top Marketing and Advertising Product for 2024 Campaign's Best Places to Work 2023 for the UK 2024 Best Workplaces for Women and in Canada by Great Place to Work DSP on G2 and leader in a number of categories including Cross-Channel Advertising
Jan 22, 2025
Full time
StackAdapt is a self-serve advertising platform that specializes in multi-channel solutions including native, display, video, connected TV, audio, in-game, and digital out-of-home ads. We empower hundreds of digitally-focused companies to deliver outcomes and exceptional campaign performance every day. StackAdapt was founded with a vision to be more than an advertising platform, it's a hub of innovation, imagination, and creativity. We are searching for a talented Data Scientist to join our engineering team as we continue to expand our data science efforts. Our platform is connected to thousands of publishers and advertisers worldwide and as a result, we're dealing with millions of requests each second, making billions of decisions. We utilize the latest technologies to solve challenges in traffic, data storage, machine learning, and scalability. StackAdapt is a Remote First company, and we are open to candidates located anywhere in the UK for this position. What you'll be doing: Innovate ML algorithms to maximize ROI and advertising performance. This ranges from creating entirely new algorithms, to improvements on state-of-the-art methods, to development using a deep understanding of classic methods. Write production code, sometimes collaborating with Data Engineers, to implement the novel ML algorithms. Prototype potential algorithms and pipelines, test them using historical data, and iterate to modify based on insights. What you'll bring to the table: Have a Masters degree or PhD in Computer Science, Statistics, Operations Research, or a related field, with dual degrees a plus. Have the ability to take an ambiguously defined task, and break it down into actionable steps. Have a comprehensive understanding of statistics, optimization, and machine learning. Are proficient in coding, data structures, and algorithms. Enjoy working in a friendly, collaborative environment with others. StackAdapters enjoy: Competitive salary. Private Medical Insurance cover. Auto-enrolment into the company pension scheme. Work from home reimbursements. Coverage and support of personal development initiatives (conferences, courses, etc). An awesome parental leave policy. A friendly, welcoming, and supportive culture. Our social and team events (virtually!). Take part in our walk and wander policy and work anywhere in the world for up to 90 days a year. If this role speaks to you then please submit an application - we'd love to speak with you. Due to a high volume of interest, only those shortlisted for interview will be contacted. StackAdapt is a diverse and inclusive team of collaborative, hardworking individuals trying to make a dent in the universe. No matter who you are, where you are from, who you love, follow in faith, disability (or superpower) status, ethnicity, or the gender you identify with (if you're comfortable, let us know your pronouns), you are welcome at StackAdapt. If you have any requests or requirements to support you throughout any part of the interview process, please let our Talent team know. About StackAdapt We've been recognized for our diverse and supportive workplace, high performing campaigns, award-winning customer service, and innovation. We've been awarded: Ad Age Best Places to Work 2024 G2 Top Software and Top Marketing and Advertising Product for 2024 Campaign's Best Places to Work 2023 for the UK 2024 Best Workplaces for Women and in Canada by Great Place to Work DSP on G2 and leader in a number of categories including Cross-Channel Advertising
Location(s): UK, Europe & Africa : UK : London BAE Systems Digital Intelligence is home to 4,500 digital, cyber and intelligence experts. We work collaboratively across 10 countries to collect, connect and understand complex data, so that governments, nation states, armed forces and commercial businesses can unlock digital advantage in the most demanding environments. Job Title: Data Scientist Requisition ID: 121365 Location: London - We offer a range of hybrid and flexible working arrangements - please speak to your recruiter about the options for this particular role. Grade: GG11-GG12 Referral Bonus: £5,000 Job Description Are you passionate about working with cutting-edge AI/ML technology? Are you self-motivated to find innovative solutions to complex challenges as part of a team who help keep the UK safe? Join BAE Systems as an experienced Data Scientist. As part of our AI team, you will be working with our National Security Customers to understand their business challenges and identify where AI/ML-based solutions can add value. You will lead on discovery activities to explore opportunities for applying data science techniques to solve customer problems. Working with them, you'll test assumptions on the effectiveness of AI/ML to meet their needs. You will work as part of an empowered, multi-disciplinary AI team whose purpose is to develop common AI propositions that will benefit a range of our customers. Working alongside ML Engineers, AI Strategy Lead and Delivery Management, you will help shape and execute our AI Strategy focused on: Our Customers: Elaborate user needs and measure AI value Our Position: Establish our market position and define our USP Our Skills: Develop our career paths and learning plans for AI Our Partners: Understand technology partner capabilities and build our AI partner ecosystem Our Innovation: Learn through AI experiments and demonstrate pull-through to product development Working in a small team you'll be given as much ownership and responsibility as you have the appetite for, but be part of our much bigger National Security community that will give you the support you need to grow in your career. Our unique customers have interesting, complex data they wish to exploit. You will demonstrate the potential of applying data science approaches to meet their business needs. You will be expected to develop, test and validate machine learning models, providing guidance to others where needed. As a leading AI expert, you'll provide strategic & technical advice to our customers and consider the ethical implications of applying data science approaches in the context of customers' missions. We're embarking upon a pivotal period that will significantly grow our AI capability, where you will be leading on the development of innovative products & services that support our customers' missions. Our senior leadership team will seek your advice on how best to position our AI proposition to customers. You'll have the opportunity to get to know our own business and work with people across a diverse range of professional backgrounds. This is an exciting time to join our team to help pioneer both our customer's and our own AI adoption journey. Not only will you be directly making a huge impact through the solutions you develop, you'll be doing it for an organisation that makes a huge impact on the security of the UK. About you You will have experience in many of the following: Analysis of user needs and advising on the use of relevant standards, methods, tools, frameworks, and processes for data science. Creatively applying innovative thinking and design practices to identify solutions that will deliver value for the benefit of the customer/stakeholder. Employing data science algorithms and methods for complex data processing, statistical analysis, and advanced analytics. Collaboratively designing & building prototypes and Proof of Concept solutions. Conducting data preparation, modelling, labelling, and transformation of 'messy' data, to make ready for the application of data science techniques. Applying AI/ML approaches through design, development, and optimisation of machine learning solutions. Understanding of ethical, privacy, security, and policy concerns relevant to the application of AI/ML. Coding of complex programs and scripts, expert in Python programming. Supervising junior analysts/scientists and ML engineers, providing guidance & coaching. Performing assessment of AI-related risks, identifying recommended mitigations. Shaping product roadmaps & informing strategies to adopt AI/ML. Offering thought leadership on data science trends, benefits, and key considerations presenting to wider communities e.g. blogs, events, and conferences. It would be great if you also had experience in some of these, but if not, we'll help you with them: Developing in Cloud Computing such as AWS, MS Azure. Utilising CI/CD tools, such as Bamboo, Jenkins, TeamCity, Bitbucket, in order to streamline delivery of new features and fixes. Designing and modelling AI/ML architectures. Relational, document, search or graph database systems. Containerisation e.g. Docker, Kubernetes. Producing data science learning plans to meet skills needs. Security Clearance is required for this vacancy. If you are not currently Security Cleared, you will need to be eligible for this and willing to go through the process. How we will support you Work-life balance is important; you can work around core hours with flexible and part-time working, and many of our roles include hybrid working enabling a mix of working from home and in the office. You'll get 25 days holiday a year and the option to buy/sell and carry over from the year before. Our flexible benefits package includes private medical and dental insurance, a competitive pension scheme, cycle to work scheme, taste cards and more. You'll have a dedicated Career Manager to help you develop your career and guide you on your journey through BAE. You'll be part of our company bonus scheme. You are welcome to join any/all of our Diversity and Support groups. These groups cover everything from gender diversity to mental health and wellbeing. About our team Our people are what differentiates us; they are resourceful, innovative, and dedicated. We have a mix of generalists and specialists and recognise that this diversity contributes to our success. We recognise the benefits of forming teams from a mix of disciplines, which allows us to come up with cutting-edge, high-quality solutions. Our breadth of work across the Public Sector provides diverse opportunities for our people to develop their careers in new areas of expertise and with new clients. You'll be part of a big company, but we try to create a culture that feels like a small one. The work will stretch you and be challenging, but we encourage a healthy work-life balance. Most of all, we know teams who work well together also perform well. We'll do everything we can to ensure you have fun at work, and in social activities outside of it whether that's virtually or in person, as conditions allow. You will be joining our National Security business which is the largest area within our UK business. Our mission is to be the most trusted partner for our National Security clients in delivery of their core mission. At the end of 2020, we had over 700 employees working across our security and law enforcement customers. This year, we are looking to build on our success and grow even further by recruiting over 100 new members to our team. We have a rich history of working within National Security. In fact, we have over 40 years' experience of delivering advice and solutions to our customers in this sector, supporting them in carrying out their vital missions. More about BAE Systems You will work for a division of BAE Systems who helps nations, governments, and businesses around the world defend themselves against cyber crime, reduce their risk in the connected world, comply with regulation, and transform their operations. We're a consultancy and products business and employ smart, motivated individuals who work together across a range of projects and products. You'll get to work on a variety of different systems for different customers throughout your career with us. We're passionate about Diversity and Inclusion in our workforce and the people you'll work with will reflect this. We employ over 4,000 people across 18 countries in the Americas, APAC, UK, and EMEA. For more information please visit our website: Life at BAE Systems Digital Intelligence We are embracing Hybrid Working. This means you and your colleagues may be working in different locations, such as from home, another BAE Systems office or client site, some or all of the time, and work might be going on at different times of the day. By embracing technology, we can interact, collaborate, and create together, even when we're working remotely from one another. Hybrid Working allows for increased flexibility in when and where we work, helping us to balance our work and personal life more effectively and enhance well-being. Diversity and inclusion are integral to the success of BAE Systems Digital Intelligence . click apply for full job details
Jan 22, 2025
Full time
Location(s): UK, Europe & Africa : UK : London BAE Systems Digital Intelligence is home to 4,500 digital, cyber and intelligence experts. We work collaboratively across 10 countries to collect, connect and understand complex data, so that governments, nation states, armed forces and commercial businesses can unlock digital advantage in the most demanding environments. Job Title: Data Scientist Requisition ID: 121365 Location: London - We offer a range of hybrid and flexible working arrangements - please speak to your recruiter about the options for this particular role. Grade: GG11-GG12 Referral Bonus: £5,000 Job Description Are you passionate about working with cutting-edge AI/ML technology? Are you self-motivated to find innovative solutions to complex challenges as part of a team who help keep the UK safe? Join BAE Systems as an experienced Data Scientist. As part of our AI team, you will be working with our National Security Customers to understand their business challenges and identify where AI/ML-based solutions can add value. You will lead on discovery activities to explore opportunities for applying data science techniques to solve customer problems. Working with them, you'll test assumptions on the effectiveness of AI/ML to meet their needs. You will work as part of an empowered, multi-disciplinary AI team whose purpose is to develop common AI propositions that will benefit a range of our customers. Working alongside ML Engineers, AI Strategy Lead and Delivery Management, you will help shape and execute our AI Strategy focused on: Our Customers: Elaborate user needs and measure AI value Our Position: Establish our market position and define our USP Our Skills: Develop our career paths and learning plans for AI Our Partners: Understand technology partner capabilities and build our AI partner ecosystem Our Innovation: Learn through AI experiments and demonstrate pull-through to product development Working in a small team you'll be given as much ownership and responsibility as you have the appetite for, but be part of our much bigger National Security community that will give you the support you need to grow in your career. Our unique customers have interesting, complex data they wish to exploit. You will demonstrate the potential of applying data science approaches to meet their business needs. You will be expected to develop, test and validate machine learning models, providing guidance to others where needed. As a leading AI expert, you'll provide strategic & technical advice to our customers and consider the ethical implications of applying data science approaches in the context of customers' missions. We're embarking upon a pivotal period that will significantly grow our AI capability, where you will be leading on the development of innovative products & services that support our customers' missions. Our senior leadership team will seek your advice on how best to position our AI proposition to customers. You'll have the opportunity to get to know our own business and work with people across a diverse range of professional backgrounds. This is an exciting time to join our team to help pioneer both our customer's and our own AI adoption journey. Not only will you be directly making a huge impact through the solutions you develop, you'll be doing it for an organisation that makes a huge impact on the security of the UK. About you You will have experience in many of the following: Analysis of user needs and advising on the use of relevant standards, methods, tools, frameworks, and processes for data science. Creatively applying innovative thinking and design practices to identify solutions that will deliver value for the benefit of the customer/stakeholder. Employing data science algorithms and methods for complex data processing, statistical analysis, and advanced analytics. Collaboratively designing & building prototypes and Proof of Concept solutions. Conducting data preparation, modelling, labelling, and transformation of 'messy' data, to make ready for the application of data science techniques. Applying AI/ML approaches through design, development, and optimisation of machine learning solutions. Understanding of ethical, privacy, security, and policy concerns relevant to the application of AI/ML. Coding of complex programs and scripts, expert in Python programming. Supervising junior analysts/scientists and ML engineers, providing guidance & coaching. Performing assessment of AI-related risks, identifying recommended mitigations. Shaping product roadmaps & informing strategies to adopt AI/ML. Offering thought leadership on data science trends, benefits, and key considerations presenting to wider communities e.g. blogs, events, and conferences. It would be great if you also had experience in some of these, but if not, we'll help you with them: Developing in Cloud Computing such as AWS, MS Azure. Utilising CI/CD tools, such as Bamboo, Jenkins, TeamCity, Bitbucket, in order to streamline delivery of new features and fixes. Designing and modelling AI/ML architectures. Relational, document, search or graph database systems. Containerisation e.g. Docker, Kubernetes. Producing data science learning plans to meet skills needs. Security Clearance is required for this vacancy. If you are not currently Security Cleared, you will need to be eligible for this and willing to go through the process. How we will support you Work-life balance is important; you can work around core hours with flexible and part-time working, and many of our roles include hybrid working enabling a mix of working from home and in the office. You'll get 25 days holiday a year and the option to buy/sell and carry over from the year before. Our flexible benefits package includes private medical and dental insurance, a competitive pension scheme, cycle to work scheme, taste cards and more. You'll have a dedicated Career Manager to help you develop your career and guide you on your journey through BAE. You'll be part of our company bonus scheme. You are welcome to join any/all of our Diversity and Support groups. These groups cover everything from gender diversity to mental health and wellbeing. About our team Our people are what differentiates us; they are resourceful, innovative, and dedicated. We have a mix of generalists and specialists and recognise that this diversity contributes to our success. We recognise the benefits of forming teams from a mix of disciplines, which allows us to come up with cutting-edge, high-quality solutions. Our breadth of work across the Public Sector provides diverse opportunities for our people to develop their careers in new areas of expertise and with new clients. You'll be part of a big company, but we try to create a culture that feels like a small one. The work will stretch you and be challenging, but we encourage a healthy work-life balance. Most of all, we know teams who work well together also perform well. We'll do everything we can to ensure you have fun at work, and in social activities outside of it whether that's virtually or in person, as conditions allow. You will be joining our National Security business which is the largest area within our UK business. Our mission is to be the most trusted partner for our National Security clients in delivery of their core mission. At the end of 2020, we had over 700 employees working across our security and law enforcement customers. This year, we are looking to build on our success and grow even further by recruiting over 100 new members to our team. We have a rich history of working within National Security. In fact, we have over 40 years' experience of delivering advice and solutions to our customers in this sector, supporting them in carrying out their vital missions. More about BAE Systems You will work for a division of BAE Systems who helps nations, governments, and businesses around the world defend themselves against cyber crime, reduce their risk in the connected world, comply with regulation, and transform their operations. We're a consultancy and products business and employ smart, motivated individuals who work together across a range of projects and products. You'll get to work on a variety of different systems for different customers throughout your career with us. We're passionate about Diversity and Inclusion in our workforce and the people you'll work with will reflect this. We employ over 4,000 people across 18 countries in the Americas, APAC, UK, and EMEA. For more information please visit our website: Life at BAE Systems Digital Intelligence We are embracing Hybrid Working. This means you and your colleagues may be working in different locations, such as from home, another BAE Systems office or client site, some or all of the time, and work might be going on at different times of the day. By embracing technology, we can interact, collaborate, and create together, even when we're working remotely from one another. Hybrid Working allows for increased flexibility in when and where we work, helping us to balance our work and personal life more effectively and enhance well-being. Diversity and inclusion are integral to the success of BAE Systems Digital Intelligence . click apply for full job details
Senior Data Scientist - Trading Department: Technology Employment Type: Permanent - Full Time Location: UK - London Reporting To: Beth Rice Compensation: £110,000 - £130,000 / year Description At Field, we have spent the last few years developing our automated energy trading platform, Gaia. We deployed Gaia to trade in real-time for our first physical asset in GB in early November 2024. We are improving our algorithms all the time, and over the coming years we will be deploying Gaia on more GB assets as well as assets across Europe (Germany, Italy and Spain). You will be part of a small, fast moving team of certified power traders, wearing multiple hats, and you will have a tangible impact shaping how we increase revenue. You will be working with people across the organisation: platform engineers, data scientists, the executive team, commercial operations, and more. This is an operational role and the candidate will need to be flexible regarding their working hours, and be in a position to participate in an on-call rotation as part of a small team. The market is 24 hours a day, 365 days a year, and you will be one of the key responders for any aspect of trading that requires humans in the loop, such as responding to unplanned or emergency scenarios. This is an exciting time to join Field, right at the core of the business. In the next few years our team's responsibility will expand rapidly as we improve Gaia and deploy it for dozens of assets in the UK and across Europe. Key Responsibilities This is a broad and varied role with the opportunity to have massive impact. As part of the team, you will: Develop algorithms to trade, forecast and co-optimise revenues across multiple markets Be part of the team that manages live trading and physical assets, and provide 24/7 support Deploy and maintain real-time, mission-critical software Develop the ability to inform and/or override algorithmic decisions in volatile market conditions Present trading results to senior management Identify gaps in our trading strategy from backtests and competitor analysis, and improve and iterate on our trading strategies Drive the development of the product roadmap Skills, Knowledge & Expertise A bit about you You're up for an operational role and are keen to get stuck into trading in the power markets. You are happy to be flexible with working hours and are able to be on-call . You're a clear, impactful communicator , able to articulate complex concepts to technical and non-technical audiences. You thrive in autonomous work environments with a positive and proactive approach. You're excited to learn - you enjoy learning about new and complex topics and are able to pick them up quickly. We are interested in candidates from a variety of backgrounds such as Trading, Data Science, Data Analytics, Operations Research or related fields, with a minimum of 3 years experience. Essential Skills Experience in the UK or European power markets Development and deployment of algorithmic trading strategies Demonstrable experience drawing conclusions from data to make impactful decisions Expert in Python development for data manipulation, analysis, visualisation and more Ability to communicate complex topics and results effectively at all levels Strong applied probability and statistics knowledge Desirable Skills In addition to the core skills above, we are looking to hire candidates who have expertise in a subset of the following: Multiple European power markets (especially Germany, Italy, and/or Spain) Advanced numerical methods such as time-series analysis, machine learning, linear programming, or stochastic optimisation/modelling Developing, deploying, and maintaining mission-critical software Working in an operational environment Job Benefits Salary: £110,000 - £130,000 We're offering a competitive compensation package, including participation in our employee share scheme which rewards all employees for the growth of the business. You'll be awarded shares when you join, which will vest over four years - and as the business grows in size and value, so will your shares! We value our team's wellbeing and belonging so we invest approx £5,000 a year on a range of perks, benefits and wellbeing activities, including regular team socials and events. Other benefits include: Up to 10% company wide bonus based on company performance Hybrid working (blend of home and office working to suit individual needs) 1 month a year work from anywhere in the world policy Private medical cover with Bupa from day one with the option to add family members Nest Pension (8% combined contributions) on qualifying earnings Fun co-working office space in Shoreditch, London Dog friendly office (with some regular furry friends already in the team) Free team lunch once a week Enhanced parental leave, for all new parents: 6 months fully paid primary carer leave 3 months fully paid secondary carer leave 10 days fully paid leave for fertility treatment £2,000 annual learning & development budget to spend on whatever best supports your growth To reach Net Zero, we need to solve big challenges. Field will fund, build and run the renewable infrastructure we need to tackle these challenges. At Field, we will show that batteries are a totally viable part of our energy infrastructure - now , not in some distant future. And, we have ambitious plans to become the defining new clean energy player in Europe over the next few years, gradually expanding beyond batteries into new asset types.
Jan 22, 2025
Full time
Senior Data Scientist - Trading Department: Technology Employment Type: Permanent - Full Time Location: UK - London Reporting To: Beth Rice Compensation: £110,000 - £130,000 / year Description At Field, we have spent the last few years developing our automated energy trading platform, Gaia. We deployed Gaia to trade in real-time for our first physical asset in GB in early November 2024. We are improving our algorithms all the time, and over the coming years we will be deploying Gaia on more GB assets as well as assets across Europe (Germany, Italy and Spain). You will be part of a small, fast moving team of certified power traders, wearing multiple hats, and you will have a tangible impact shaping how we increase revenue. You will be working with people across the organisation: platform engineers, data scientists, the executive team, commercial operations, and more. This is an operational role and the candidate will need to be flexible regarding their working hours, and be in a position to participate in an on-call rotation as part of a small team. The market is 24 hours a day, 365 days a year, and you will be one of the key responders for any aspect of trading that requires humans in the loop, such as responding to unplanned or emergency scenarios. This is an exciting time to join Field, right at the core of the business. In the next few years our team's responsibility will expand rapidly as we improve Gaia and deploy it for dozens of assets in the UK and across Europe. Key Responsibilities This is a broad and varied role with the opportunity to have massive impact. As part of the team, you will: Develop algorithms to trade, forecast and co-optimise revenues across multiple markets Be part of the team that manages live trading and physical assets, and provide 24/7 support Deploy and maintain real-time, mission-critical software Develop the ability to inform and/or override algorithmic decisions in volatile market conditions Present trading results to senior management Identify gaps in our trading strategy from backtests and competitor analysis, and improve and iterate on our trading strategies Drive the development of the product roadmap Skills, Knowledge & Expertise A bit about you You're up for an operational role and are keen to get stuck into trading in the power markets. You are happy to be flexible with working hours and are able to be on-call . You're a clear, impactful communicator , able to articulate complex concepts to technical and non-technical audiences. You thrive in autonomous work environments with a positive and proactive approach. You're excited to learn - you enjoy learning about new and complex topics and are able to pick them up quickly. We are interested in candidates from a variety of backgrounds such as Trading, Data Science, Data Analytics, Operations Research or related fields, with a minimum of 3 years experience. Essential Skills Experience in the UK or European power markets Development and deployment of algorithmic trading strategies Demonstrable experience drawing conclusions from data to make impactful decisions Expert in Python development for data manipulation, analysis, visualisation and more Ability to communicate complex topics and results effectively at all levels Strong applied probability and statistics knowledge Desirable Skills In addition to the core skills above, we are looking to hire candidates who have expertise in a subset of the following: Multiple European power markets (especially Germany, Italy, and/or Spain) Advanced numerical methods such as time-series analysis, machine learning, linear programming, or stochastic optimisation/modelling Developing, deploying, and maintaining mission-critical software Working in an operational environment Job Benefits Salary: £110,000 - £130,000 We're offering a competitive compensation package, including participation in our employee share scheme which rewards all employees for the growth of the business. You'll be awarded shares when you join, which will vest over four years - and as the business grows in size and value, so will your shares! We value our team's wellbeing and belonging so we invest approx £5,000 a year on a range of perks, benefits and wellbeing activities, including regular team socials and events. Other benefits include: Up to 10% company wide bonus based on company performance Hybrid working (blend of home and office working to suit individual needs) 1 month a year work from anywhere in the world policy Private medical cover with Bupa from day one with the option to add family members Nest Pension (8% combined contributions) on qualifying earnings Fun co-working office space in Shoreditch, London Dog friendly office (with some regular furry friends already in the team) Free team lunch once a week Enhanced parental leave, for all new parents: 6 months fully paid primary carer leave 3 months fully paid secondary carer leave 10 days fully paid leave for fertility treatment £2,000 annual learning & development budget to spend on whatever best supports your growth To reach Net Zero, we need to solve big challenges. Field will fund, build and run the renewable infrastructure we need to tackle these challenges. At Field, we will show that batteries are a totally viable part of our energy infrastructure - now , not in some distant future. And, we have ambitious plans to become the defining new clean energy player in Europe over the next few years, gradually expanding beyond batteries into new asset types.
Senior Software Engineer II-Hybrid Do you want to be part of building the Future of ML Infrastructure? Are you a self-starter and enjoy collaboration? About the Business: LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation, and Customer Data Management. You can learn more about LexisNexis Risk at the link below, About the team: You will be working with a team of passionate Software Engineers, Data Scientists, and other stakeholders within the business. About the role: As a Senior Software Engineer on our ML/Analytics Platform Team, you will be at the forefront of building and scaling the infrastructure that powers our machine learning initiatives. Your primary focus will be on designing, developing, maintaining, and improving the customer-facing training pipeline and systems to efficiently build, train, and monitor models that perform high volumes of fraud detection. While you won't be directly developing ML models straight away, a strong understanding of the machine learning lifecycle and its challenges will be crucial for building effective and impactful solutions. You will have the opportunity to impact a significant number of customer-deployed models that run against huge numbers of transactions and users daily. You'll also mentor and guide junior engineers, fostering a culture of learning and innovation. Responsibilities: Design, develop, improve, and maintain robust, scalable software systems and tools that form the foundation of our ML/Analytics Platform Team, including customer-facing model training pipelines and monitoring systems. Collaborate closely with data scientists, ML engineers, and infrastructure teams to understand their needs and translate them into effective technical solutions. Develop and maintain APIs and services that enable seamless integration between different components of the ML ecosystem. Optimize the performance and reliability of our ML infrastructure, ensuring it can handle the demands of high-volume, low-latency applications. Evangelize best practices for software development, code quality, testing, and deployment within the ML platform team. Stay informed about the latest trends and technologies in software engineering, cloud infrastructure, and the ML/Analytics ecosystem, identifying opportunities to improve our platform. Mentor and guide junior engineers, sharing your expertise and helping them develop their technical skills. Requirements: Be a highly skilled software engineer with industry experience building and maintaining large-scale, distributed systems in production environments. Proficient in Python and/or Java, with a strong understanding of software design principles and best practices. Possess problem-solving skills with a passion for building high-quality, reliable, and scalable systems. Be able to work effectively with both technical and non-technical stakeholders, being a collaborator with excellent communication skills. An advanced degree (MSc or PhD) in a quantitative field such as Computer Science, Engineering, Statistics, Mathematics, or Physics or equivalent. Company: At LexisNexis Risk Solutions, our history and entrepreneurial spirit make us a rare combination. We never stop innovating, always looking for ways to leverage the power of insight through data and advanced analytics to help our customers solve problems, make better decisions, and improve operations. Our technologies, decision tools, and data services give our customers a clear advantage in evaluating and predicting risk and enhancing operational efficiency. Our businesses span the following sectors: Aviation Chemicals & Energy Collections & Recovery Corporations & Non-Profits Financial Services Government Healthcare HR Insurance Law Enforcement & Public Safety Tax
Jan 22, 2025
Full time
Senior Software Engineer II-Hybrid Do you want to be part of building the Future of ML Infrastructure? Are you a self-starter and enjoy collaboration? About the Business: LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation, and Customer Data Management. You can learn more about LexisNexis Risk at the link below, About the team: You will be working with a team of passionate Software Engineers, Data Scientists, and other stakeholders within the business. About the role: As a Senior Software Engineer on our ML/Analytics Platform Team, you will be at the forefront of building and scaling the infrastructure that powers our machine learning initiatives. Your primary focus will be on designing, developing, maintaining, and improving the customer-facing training pipeline and systems to efficiently build, train, and monitor models that perform high volumes of fraud detection. While you won't be directly developing ML models straight away, a strong understanding of the machine learning lifecycle and its challenges will be crucial for building effective and impactful solutions. You will have the opportunity to impact a significant number of customer-deployed models that run against huge numbers of transactions and users daily. You'll also mentor and guide junior engineers, fostering a culture of learning and innovation. Responsibilities: Design, develop, improve, and maintain robust, scalable software systems and tools that form the foundation of our ML/Analytics Platform Team, including customer-facing model training pipelines and monitoring systems. Collaborate closely with data scientists, ML engineers, and infrastructure teams to understand their needs and translate them into effective technical solutions. Develop and maintain APIs and services that enable seamless integration between different components of the ML ecosystem. Optimize the performance and reliability of our ML infrastructure, ensuring it can handle the demands of high-volume, low-latency applications. Evangelize best practices for software development, code quality, testing, and deployment within the ML platform team. Stay informed about the latest trends and technologies in software engineering, cloud infrastructure, and the ML/Analytics ecosystem, identifying opportunities to improve our platform. Mentor and guide junior engineers, sharing your expertise and helping them develop their technical skills. Requirements: Be a highly skilled software engineer with industry experience building and maintaining large-scale, distributed systems in production environments. Proficient in Python and/or Java, with a strong understanding of software design principles and best practices. Possess problem-solving skills with a passion for building high-quality, reliable, and scalable systems. Be able to work effectively with both technical and non-technical stakeholders, being a collaborator with excellent communication skills. An advanced degree (MSc or PhD) in a quantitative field such as Computer Science, Engineering, Statistics, Mathematics, or Physics or equivalent. Company: At LexisNexis Risk Solutions, our history and entrepreneurial spirit make us a rare combination. We never stop innovating, always looking for ways to leverage the power of insight through data and advanced analytics to help our customers solve problems, make better decisions, and improve operations. Our technologies, decision tools, and data services give our customers a clear advantage in evaluating and predicting risk and enhancing operational efficiency. Our businesses span the following sectors: Aviation Chemicals & Energy Collections & Recovery Corporations & Non-Profits Financial Services Government Healthcare HR Insurance Law Enforcement & Public Safety Tax
