Job ID: Evi Technologies Limited As a Principal Scientist in Amazon's Artificial General Intelligence division, you will have deep subject matter expertise in the area of large language models and generative AI. You will provide thought leadership on and lead strategic efforts in the personalization of conversational assistant systems, including but not limited to retrieval augmented generation of large language models across a wide range of context providers, privacy and bias/fairness considerations in personalization, work with product, science and engineering teams to deliver short- and long-term personalization solutions that scale to millions of users and a variety of different conversational assistants. You will work with multiple teams of scientists and engineers to translate business and functional requirements into concrete deliverables. You will collaborate to design solutions and resolve issues across different organizations at Amazon (e.g. LLM foundational model training and fine-tuning teams, information providers, Amazon businesses like Audible, Kindle and Shopping) to deliver systems at Amazon scale to bring value to billions of Amazon customers. Working across academic partners and in-house experts you will be part of a cutting edge applied research team, and will help to drive this knowledge into our science community through mentoring and knowledge sharing. Key job responsibilities You will be a hands on contributor to science at Amazon. You will help raise the scientific bar by mentoring, educating, and publishing in your field. You will help build the scientific roadmap for artificial general intelligence at Amazon scale, leaning into personalization elements. As a key scientist and influencer in the company you will work on the forefront of innovation in AI to apply research to real products. You will be a technical leader in your domain. About the team The AGI Personalization team uses various contextual signals to personalize Large Language Model output for our customers while maintaining privacy and security of customer data. We work across multiple Amazon products, including Alexa, to enhance the user experience by bringing more personal value and relevance to customers interactions. We are open to hiring candidates to work out of one of the following locations: Cambridge, GBR London, GBR BASIC QUALIFICATIONS Graduate degree in Computer science/Math or related field. Experience in building complex, real-time systems involving AI, ML, and NLP with successful delivery to customers. Demonstrated track record of project delivery for large, cross-functional projects with evolving requirements. Ability to take a project from requirements gathering and design to actual product launch. Computer Science fundamentals in data structures, algorithm design and complexity analysis. Ability to develop machine learning platform strategies and influence the organization adopting new approaches, concepts and paradigms. Exceptional customer relationship skills including the ability to discover the true requirements underlying feature requests, recommend alternative technical and business approaches, and lead science efforts to meet aggressive timelines with optimal solutions. Demonstrated track record of peer-reviewed scientific publications that advance state-of-the art for applied science. PREFERRED QUALIFICATIONS 10+ years of relevant, broad research experience after PhD degree or equivalent. Deep and broad expertise across several computer science areas, in particular in Machine Learning and large-scale generative models with a focus on technologies related to conversational AI systems and/or personalization & recommender systems. Experience with structured (e.g. knowledge graphs) and/or unstructured knowledge sources. Strong core competency in mathematics and statistics. Track record of solving complex technical problems. Recognized thought leader in your area(s). Publications at top-tier peer-reviewed conferences or journals. Strong prior experience with mentorship and/or management of senior scientists and engineers. Thinks strategically, but stays on top of tactical execution. Exhibits excellent business judgment; balances business, product, and technology very well. Effective verbal and written communication skills with non-technical and technical audiences. Experience working with real-world data sets and building scalable models from large-scale data. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice () to know more about how we collect, use and transfer the personal data of our candidates. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need an adjustment during the application and hiring process, including support for the interview or onboarding process, please contact the Applicant-Candidate Accommodation Team (ACAT), Monday through Friday from 7:00 am GMT - 4:00 pm GMT. If calling directly from the United Kingdom, please dial (tel:). If calling from Ireland, please dial (tel:). Based on your recent activity, you may be interested in: Posted: April 3, 2024 (Updated about 17 hours ago) Posted: April 4, 2024 (Updated about 10 hours ago) Posted: October 26, 2023 (Updated about 2 months ago) Posted: April 16, 2024 (Updated about 8 hours ago) Posted: March 7, 2024 (Updated 13 days ago) Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
May 03, 2024
Full time
Job ID: Evi Technologies Limited As a Principal Scientist in Amazon's Artificial General Intelligence division, you will have deep subject matter expertise in the area of large language models and generative AI. You will provide thought leadership on and lead strategic efforts in the personalization of conversational assistant systems, including but not limited to retrieval augmented generation of large language models across a wide range of context providers, privacy and bias/fairness considerations in personalization, work with product, science and engineering teams to deliver short- and long-term personalization solutions that scale to millions of users and a variety of different conversational assistants. You will work with multiple teams of scientists and engineers to translate business and functional requirements into concrete deliverables. You will collaborate to design solutions and resolve issues across different organizations at Amazon (e.g. LLM foundational model training and fine-tuning teams, information providers, Amazon businesses like Audible, Kindle and Shopping) to deliver systems at Amazon scale to bring value to billions of Amazon customers. Working across academic partners and in-house experts you will be part of a cutting edge applied research team, and will help to drive this knowledge into our science community through mentoring and knowledge sharing. Key job responsibilities You will be a hands on contributor to science at Amazon. You will help raise the scientific bar by mentoring, educating, and publishing in your field. You will help build the scientific roadmap for artificial general intelligence at Amazon scale, leaning into personalization elements. As a key scientist and influencer in the company you will work on the forefront of innovation in AI to apply research to real products. You will be a technical leader in your domain. About the team The AGI Personalization team uses various contextual signals to personalize Large Language Model output for our customers while maintaining privacy and security of customer data. We work across multiple Amazon products, including Alexa, to enhance the user experience by bringing more personal value and relevance to customers interactions. We are open to hiring candidates to work out of one of the following locations: Cambridge, GBR London, GBR BASIC QUALIFICATIONS Graduate degree in Computer science/Math or related field. Experience in building complex, real-time systems involving AI, ML, and NLP with successful delivery to customers. Demonstrated track record of project delivery for large, cross-functional projects with evolving requirements. Ability to take a project from requirements gathering and design to actual product launch. Computer Science fundamentals in data structures, algorithm design and complexity analysis. Ability to develop machine learning platform strategies and influence the organization adopting new approaches, concepts and paradigms. Exceptional customer relationship skills including the ability to discover the true requirements underlying feature requests, recommend alternative technical and business approaches, and lead science efforts to meet aggressive timelines with optimal solutions. Demonstrated track record of peer-reviewed scientific publications that advance state-of-the art for applied science. PREFERRED QUALIFICATIONS 10+ years of relevant, broad research experience after PhD degree or equivalent. Deep and broad expertise across several computer science areas, in particular in Machine Learning and large-scale generative models with a focus on technologies related to conversational AI systems and/or personalization & recommender systems. Experience with structured (e.g. knowledge graphs) and/or unstructured knowledge sources. Strong core competency in mathematics and statistics. Track record of solving complex technical problems. Recognized thought leader in your area(s). Publications at top-tier peer-reviewed conferences or journals. Strong prior experience with mentorship and/or management of senior scientists and engineers. Thinks strategically, but stays on top of tactical execution. Exhibits excellent business judgment; balances business, product, and technology very well. Effective verbal and written communication skills with non-technical and technical audiences. Experience working with real-world data sets and building scalable models from large-scale data. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice () to know more about how we collect, use and transfer the personal data of our candidates. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need an adjustment during the application and hiring process, including support for the interview or onboarding process, please contact the Applicant-Candidate Accommodation Team (ACAT), Monday through Friday from 7:00 am GMT - 4:00 pm GMT. If calling directly from the United Kingdom, please dial (tel:). If calling from Ireland, please dial (tel:). Based on your recent activity, you may be interested in: Posted: April 3, 2024 (Updated about 17 hours ago) Posted: April 4, 2024 (Updated about 10 hours ago) Posted: October 26, 2023 (Updated about 2 months ago) Posted: April 16, 2024 (Updated about 8 hours ago) Posted: March 7, 2024 (Updated 13 days ago) Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
At Improbable, we want to help businesses navigate the increasingly more complex and intertwined world. Enterprise metaverses break down the organisational and technical siloes that have meant digital twins have not been fully exploitable by the broader business. They empower entire companies to continually optimise and prepare for the future by providing a digital representation that can be visualised, analysed, explored and experimented upon. We use enterprise metaverses to empower businesses to effectively explore future scenarios and respond to change and disruption more effectively by using digital twins and enterprise metaverses. Enterprise Insights is a newly formed business unit of 30+ people within Improbable, and with it, there are lots of interesting engineering problems to solve. In this position, you will take on the role of a scientific leader, spearheading the development and implementation of modelling and simulation in our Digital Twin products. You'll be instrumental in fostering a robust environment focused on mathematical and data-driven modelling within our expanding technical teams, providing both expertise and mentorship. Your responsibilities span a variety of technical domains, primarily Modelling & Simulation, Optimization and AI. Your duties also involve recognizing and exploiting opportunities to integrate state-of-the-art Artificial Intelligence and Machine Learning tools across the EI product range. You will contribute to development projects and collaborate closely with technical project teams, facilitating the incorporation of predictive and prescriptive analytics in our offerings. You are tasked with maintaining high standards in modelling and simulation, ensuring our customers gain meaningful insights for effective decision-making and process enhancement. Your Opportunity: Set our modelling strategy and provide guidance and support to the engineering team to implement the strategy. You will be accountable for our overall modelling approach. Shape product and business strategy with respect to the latest trends and advancements in digital twin technology, machine learning, artificial intelligence, and IoT. Modelling is our core, but we strongly believe we can make our digital twins better by incorporating other advanced technologies. Help us by bringing ideas to the table. Spearhead initiatives in AI and digital twin technology, setting the goals and priorities of these areas and aligning them with the overall objectives of the enterprise. Prove and communicate early ideas by building prototypes. Identify value opportunities to employ mathematical optimization, machine learning and artificial intelligence, to support simulation-driven prescriptive analytics within our digital twin products. Work closely with internal stakeholders, including the engineering, product, and business development teams, to align technological development with business objectives. When required, engage with external stakeholders, including our customers, partners, and academic institutions, to promote collaboration and knowledge exchange. Understand the markets for AI & digital twins, supporting go-to-market initiatives across multiple sectors. Why you're made for this: Proven commercial experience, ideally in a startup environment. Proven experience in digital twin technology, AI, and machine learning, preferably with some exposure to logistics or supply chain management. Excellent communication and collaboration abilities. Track history of innovation in relevant fields PhD in Computer Science, Statistics, Mathematics, Engineering or a related field (preferred) While we think the above experience could be important, we're keen to hear from people that believe they have valuable experience to bring to the role. If you identify with the team and mission, but not all of our requirements, then please still apply. About Us Improbable is determined to foster an environment where people can do their best work and feel like they belong. We believe a healthy culture, strong values and contribution from a diverse range of individuals will help us to achieve success. We do not discriminate based on race, ethnicity, gender, ancestry, national origin, religion, sex, sexual orientation, gender identity, age disability, veteran status, genetic information, marital status or any other legally protected status. Life at Improbable Diversity, inclusion and belonging LI-DD1
May 01, 2024
Full time
At Improbable, we want to help businesses navigate the increasingly more complex and intertwined world. Enterprise metaverses break down the organisational and technical siloes that have meant digital twins have not been fully exploitable by the broader business. They empower entire companies to continually optimise and prepare for the future by providing a digital representation that can be visualised, analysed, explored and experimented upon. We use enterprise metaverses to empower businesses to effectively explore future scenarios and respond to change and disruption more effectively by using digital twins and enterprise metaverses. Enterprise Insights is a newly formed business unit of 30+ people within Improbable, and with it, there are lots of interesting engineering problems to solve. In this position, you will take on the role of a scientific leader, spearheading the development and implementation of modelling and simulation in our Digital Twin products. You'll be instrumental in fostering a robust environment focused on mathematical and data-driven modelling within our expanding technical teams, providing both expertise and mentorship. Your responsibilities span a variety of technical domains, primarily Modelling & Simulation, Optimization and AI. Your duties also involve recognizing and exploiting opportunities to integrate state-of-the-art Artificial Intelligence and Machine Learning tools across the EI product range. You will contribute to development projects and collaborate closely with technical project teams, facilitating the incorporation of predictive and prescriptive analytics in our offerings. You are tasked with maintaining high standards in modelling and simulation, ensuring our customers gain meaningful insights for effective decision-making and process enhancement. Your Opportunity: Set our modelling strategy and provide guidance and support to the engineering team to implement the strategy. You will be accountable for our overall modelling approach. Shape product and business strategy with respect to the latest trends and advancements in digital twin technology, machine learning, artificial intelligence, and IoT. Modelling is our core, but we strongly believe we can make our digital twins better by incorporating other advanced technologies. Help us by bringing ideas to the table. Spearhead initiatives in AI and digital twin technology, setting the goals and priorities of these areas and aligning them with the overall objectives of the enterprise. Prove and communicate early ideas by building prototypes. Identify value opportunities to employ mathematical optimization, machine learning and artificial intelligence, to support simulation-driven prescriptive analytics within our digital twin products. Work closely with internal stakeholders, including the engineering, product, and business development teams, to align technological development with business objectives. When required, engage with external stakeholders, including our customers, partners, and academic institutions, to promote collaboration and knowledge exchange. Understand the markets for AI & digital twins, supporting go-to-market initiatives across multiple sectors. Why you're made for this: Proven commercial experience, ideally in a startup environment. Proven experience in digital twin technology, AI, and machine learning, preferably with some exposure to logistics or supply chain management. Excellent communication and collaboration abilities. Track history of innovation in relevant fields PhD in Computer Science, Statistics, Mathematics, Engineering or a related field (preferred) While we think the above experience could be important, we're keen to hear from people that believe they have valuable experience to bring to the role. If you identify with the team and mission, but not all of our requirements, then please still apply. About Us Improbable is determined to foster an environment where people can do their best work and feel like they belong. We believe a healthy culture, strong values and contribution from a diverse range of individuals will help us to achieve success. We do not discriminate based on race, ethnicity, gender, ancestry, national origin, religion, sex, sexual orientation, gender identity, age disability, veteran status, genetic information, marital status or any other legally protected status. Life at Improbable Diversity, inclusion and belonging LI-DD1
Management Consultant: Data Analytics Lead - Managing Principal (Senior Manager) Joining Capco means joining an organisation that is committed to an inclusive working environment where you're encouraged to . 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. THE ROLE We are currently seeking a Data Analytics Lead to drive the strategy and growth of our industry recognised, and award-winning Data Practice. To be considered for this role you will be a respected authority in the analytics industry, with experience in helping to build and run an analytics consulting business. This is an exciting opportunity to join a growing team of multi-disciplinary data practitioners, who you will direct and collaborate with to develop new businesses and deliver cutting-edge analytics, data science and AI projects for top-tier Financial Services clients. You will play a key role in helping to direct and drive the growth of the data analytics capability, identifying business development opportunities on new and existing clients, and aiding the development of client proposals, and propositions. You will help to develop the UK Data Practice and support the broader Global Data Practice on industry changing topics such as Advanced Analytics, Artificial Intelligence, Intelligent Automation, and Machine Learning.Collaboration, enthusiasm, and encouragement are key in ensuring we maintain our culture, and 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 voted us as the A-Team Best Consultancy in Data Management in 2021 and 2022, and value our ability to identify and develop top data talent. In addition to winning the Best Consultancy of the year 2022 in the British Banking Awards. AS A DATA ANALYTICS LEAD YOU WILL Identify and research business development opportunities on new or existing clients and aiding the development of client proposals and bids. Have a strong commercial focus, ability to develop client relationships, direct sales opportunities and develop data propositions. Build market networks and relationships, to enhance the market awareness of the UK Data Practice. Contribute to internally and externally facing innovation practice in your field Create a collaborative culture, driving talent development, provide mentoring and coaching for those developing their careers in data Be comfortable working across multiple projects and initiatives, driving the growth of new and existing data capabilities, engaging internal and external stakeholders. SKILLS & EXPERTISE 8+ years of consulting experience likely in a senior management or director position. Experience in spearheading new business opportunities. Understanding of common data concepts e.g., Data Strategy, Data Management, Data Governance, Data Architecture, Data Privacy, Data Literacy Expertise in one or more of the following Data Science, Analytics & AI concepts: Machine Learning, Business Intelligence, MLOps, Analytics operating models, AI development and operationalisation, Data & AI Ethics, Data Analysis Ability to develop working relationships with a wide variety of clients, from C-suite to technical resources, balancing conflicting priorities. Background managing business and technical teams to deliver projects of varying sizes, from incubating innovative products to delivering large scale productionised analytics and data science models. Essential experience working within Financial Services, Capital Markets, Insurance, or Wealth & Asset Management, in a data science, analytics and AI related role. Desired experience in programme execution, business analysis and change management - proven ability to shape, design, and manage the execution of data programmes. Experienced working in a multi-client environment that emphasises collaboration, and teamwork. Experienced in recruiting and developing teams. 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 clientsand employees Ongoing learning opportunities to help you acquire new skills or deepenexisting expertise A flat, non-hierarchical structure that will enable you to work with senior partnersand 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.
Apr 30, 2024
Full time
Management Consultant: Data Analytics Lead - Managing Principal (Senior Manager) Joining Capco means joining an organisation that is committed to an inclusive working environment where you're encouraged to . 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. THE ROLE We are currently seeking a Data Analytics Lead to drive the strategy and growth of our industry recognised, and award-winning Data Practice. To be considered for this role you will be a respected authority in the analytics industry, with experience in helping to build and run an analytics consulting business. This is an exciting opportunity to join a growing team of multi-disciplinary data practitioners, who you will direct and collaborate with to develop new businesses and deliver cutting-edge analytics, data science and AI projects for top-tier Financial Services clients. You will play a key role in helping to direct and drive the growth of the data analytics capability, identifying business development opportunities on new and existing clients, and aiding the development of client proposals, and propositions. You will help to develop the UK Data Practice and support the broader Global Data Practice on industry changing topics such as Advanced Analytics, Artificial Intelligence, Intelligent Automation, and Machine Learning.Collaboration, enthusiasm, and encouragement are key in ensuring we maintain our culture, and 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 voted us as the A-Team Best Consultancy in Data Management in 2021 and 2022, and value our ability to identify and develop top data talent. In addition to winning the Best Consultancy of the year 2022 in the British Banking Awards. AS A DATA ANALYTICS LEAD YOU WILL Identify and research business development opportunities on new or existing clients and aiding the development of client proposals and bids. Have a strong commercial focus, ability to develop client relationships, direct sales opportunities and develop data propositions. Build market networks and relationships, to enhance the market awareness of the UK Data Practice. Contribute to internally and externally facing innovation practice in your field Create a collaborative culture, driving talent development, provide mentoring and coaching for those developing their careers in data Be comfortable working across multiple projects and initiatives, driving the growth of new and existing data capabilities, engaging internal and external stakeholders. SKILLS & EXPERTISE 8+ years of consulting experience likely in a senior management or director position. Experience in spearheading new business opportunities. Understanding of common data concepts e.g., Data Strategy, Data Management, Data Governance, Data Architecture, Data Privacy, Data Literacy Expertise in one or more of the following Data Science, Analytics & AI concepts: Machine Learning, Business Intelligence, MLOps, Analytics operating models, AI development and operationalisation, Data & AI Ethics, Data Analysis Ability to develop working relationships with a wide variety of clients, from C-suite to technical resources, balancing conflicting priorities. Background managing business and technical teams to deliver projects of varying sizes, from incubating innovative products to delivering large scale productionised analytics and data science models. Essential experience working within Financial Services, Capital Markets, Insurance, or Wealth & Asset Management, in a data science, analytics and AI related role. Desired experience in programme execution, business analysis and change management - proven ability to shape, design, and manage the execution of data programmes. Experienced working in a multi-client environment that emphasises collaboration, and teamwork. Experienced in recruiting and developing teams. 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 clientsand employees Ongoing learning opportunities to help you acquire new skills or deepenexisting expertise A flat, non-hierarchical structure that will enable you to work with senior partnersand 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.
PRINCIPAL MACHINE LEARNING ENGINEER SMART VEHICLE ANALYTICS PLATFORM £100,000-£150,000 + BENEFITS OVERVIEW Exciting opportunity to work for a very successful analytics start-up that have very strong financial backing and a strong client base. THE ROLE Building production-level machine learning models for a variety of clients. Solving complex commercial problems with innovative machine learning solutions. SKILLS AND EXPERTISE An MSc or Ph.D. in a quantitative discipline (e.g. Maths, Stats, Computer Science, Physics etc) Experience programming with production-level Python. Experience in building machine learning models and deploying them into production. A passion for seeing your work go into external products and having an impact. PACKAGE Extremely competitive salary and benefits package. HOW TO APPLY To be considered for this exciting opportunity, please submit your details using the Apply button on this page. Or for more information regarding other roles please contact Cam Heald at Harnham. KEYWORDS Python, AWS, GCP, SQL, machine learning, full-stack, Data Scientist, Data Science, automobiles, cars, smart, product.
Sep 09, 2021
Full time
PRINCIPAL MACHINE LEARNING ENGINEER SMART VEHICLE ANALYTICS PLATFORM £100,000-£150,000 + BENEFITS OVERVIEW Exciting opportunity to work for a very successful analytics start-up that have very strong financial backing and a strong client base. THE ROLE Building production-level machine learning models for a variety of clients. Solving complex commercial problems with innovative machine learning solutions. SKILLS AND EXPERTISE An MSc or Ph.D. in a quantitative discipline (e.g. Maths, Stats, Computer Science, Physics etc) Experience programming with production-level Python. Experience in building machine learning models and deploying them into production. A passion for seeing your work go into external products and having an impact. PACKAGE Extremely competitive salary and benefits package. HOW TO APPLY To be considered for this exciting opportunity, please submit your details using the Apply button on this page. Or for more information regarding other roles please contact Cam Heald at Harnham. KEYWORDS Python, AWS, GCP, SQL, machine learning, full-stack, Data Scientist, Data Science, automobiles, cars, smart, product.