Hiscox Underwriting Group Services Ltd (HUGS) is seeking a Principal Data Scientist to lead complex data science initiatives and transform underwriting capabilities. You will mentor junior data scientists and collaborate with various business functions to maximize value across the insurance value chain. The ideal candidate will have a degree in a quantitative field and substantial experience in data science, particularly in machine learning and statistical modeling. A strong ability to communicate complex findings to diverse audiences is essential, alongside proficiency in Python and SQL.
26/07/2026
Full time
Hiscox Underwriting Group Services Ltd (HUGS) is seeking a Principal Data Scientist to lead complex data science initiatives and transform underwriting capabilities. You will mentor junior data scientists and collaborate with various business functions to maximize value across the insurance value chain. The ideal candidate will have a degree in a quantitative field and substantial experience in data science, particularly in machine learning and statistical modeling. A strong ability to communicate complex findings to diverse audiences is essential, alongside proficiency in Python and SQL.
Build a brilliant future with Hiscox. As a Principal Data Scientist you will be an integral part of a dynamic technical team, strategically focused on leveraging data science across our diverse business functions. Your expertise will transform underwriting capabilities and extend through the entire insurance value chain, championing a multi-disciplinary approach to complex problem solving. You will lead the end to end delivery of our most significant and complex data science initiatives, driving technical strategy, architecture, and best practices. You will mentor and coach junior and mid level colleagues, elevate the overall team capability, and collaborate extensively with other disciplines to maximise business value. Key Responsibilities Utilise industry standards, emerging methodologies and empirical research to develop critical business inputs and assist leaders in innovating their approaches. Technically lead the end to end delivery of our most complex data science initiatives, encompassing strong understanding of intricate business challenges and translation into technical problem statements, working with diverse datasets (internal and external), and expert application of advanced machine learning or statistical modelling techniques to generate actionable insights and measurable impact. Provide hands on technical mentorship and guidance to junior and mid level data scientists, fostering best practices, elevating technical standards and cultivating advanced skill development within the team. Engage closely with other members of the data and analytics community at Hiscox to deliver value through various analytics techniques, sharing advanced knowledge and driving the adoption of robust analytical capabilities. Design, implement and maintain robust technical frameworks for monitoring, evaluating and quantifying the commercial impact and efficiency of data science solutions, ensuring continuous value demonstration. Person Specification Bachelor's/Master's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Physics, Engineering) or equivalent. Extensive professional experience in data science, with a proven track record of technically leading and successfully delivering complex, impactful, and production grade data science solutions. Background in data science within finance or insurance advantageous but not required. Demonstrated capacity for independent, high quality research and exploratory data analysis, with the ability to develop and apply novel methodologies to solve ill defined and challenging business problems. Proven ability to design, implement, and maintain robust technical frameworks for evaluating commercial impact. Proven ability to technically mentor data scientists, fostering best practices, elevating technical standards, and contributing to the overall technical growth of the team. Strong understanding and practical experience with Agile development methodologies and software engineering best practices (e.g., version control, comprehensive testing, modular code) relevant to data science product delivery. Ability to articulate complex technical findings and methodologies into clear, concise, and actionable insights for diverse audiences, effectively influencing technical and non technical stakeholders to drive data driven decision making and solution adoption. Demonstrable experience collaborating effectively with cross functional teams (e.g., engineering, product, business stakeholders) to translate business challenges into robust technical requirements and ensure seamless delivery. Key Technical Skills Exceptional proficiency in Python (and R) for data science, coupled with SQL capabilities for data manipulation and extraction. Demonstrable mastery in a wide range of machine learning and statistical modelling techniques, from classical linear models and tree based methods to advanced deep learning architectures. Practical experience with, or demonstrable capability for, applications of Generative AI, Large Language Models (LLMs) and related areas such as Natural Language Processing (NLP) or Computer Vision, relevant to business solutions. Solid understanding of foundational statistics and experimental design. Familiarity with or experience on cloud platforms. Impact and Achievements Pioneer the development and robust deployment of highly impactful machine learning and AI driven solutions, directly contributing to significant commercial value, quantifiable business growth, or efficiency gains across the organization. Translate complex data science insights into tangible, measurable improvements across critical business processes and key performance indicators, ensuring the real world adoption and beneficial outcomes of our analytical work. Actively elevate the technical maturity and capabilities of the data science team by shaping and implementing industry leading AI, data, and analytics techniques, methodologies, and engineering best practices.
26/07/2026
Full time
Build a brilliant future with Hiscox. As a Principal Data Scientist you will be an integral part of a dynamic technical team, strategically focused on leveraging data science across our diverse business functions. Your expertise will transform underwriting capabilities and extend through the entire insurance value chain, championing a multi-disciplinary approach to complex problem solving. You will lead the end to end delivery of our most significant and complex data science initiatives, driving technical strategy, architecture, and best practices. You will mentor and coach junior and mid level colleagues, elevate the overall team capability, and collaborate extensively with other disciplines to maximise business value. Key Responsibilities Utilise industry standards, emerging methodologies and empirical research to develop critical business inputs and assist leaders in innovating their approaches. Technically lead the end to end delivery of our most complex data science initiatives, encompassing strong understanding of intricate business challenges and translation into technical problem statements, working with diverse datasets (internal and external), and expert application of advanced machine learning or statistical modelling techniques to generate actionable insights and measurable impact. Provide hands on technical mentorship and guidance to junior and mid level data scientists, fostering best practices, elevating technical standards and cultivating advanced skill development within the team. Engage closely with other members of the data and analytics community at Hiscox to deliver value through various analytics techniques, sharing advanced knowledge and driving the adoption of robust analytical capabilities. Design, implement and maintain robust technical frameworks for monitoring, evaluating and quantifying the commercial impact and efficiency of data science solutions, ensuring continuous value demonstration. Person Specification Bachelor's/Master's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Physics, Engineering) or equivalent. Extensive professional experience in data science, with a proven track record of technically leading and successfully delivering complex, impactful, and production grade data science solutions. Background in data science within finance or insurance advantageous but not required. Demonstrated capacity for independent, high quality research and exploratory data analysis, with the ability to develop and apply novel methodologies to solve ill defined and challenging business problems. Proven ability to design, implement, and maintain robust technical frameworks for evaluating commercial impact. Proven ability to technically mentor data scientists, fostering best practices, elevating technical standards, and contributing to the overall technical growth of the team. Strong understanding and practical experience with Agile development methodologies and software engineering best practices (e.g., version control, comprehensive testing, modular code) relevant to data science product delivery. Ability to articulate complex technical findings and methodologies into clear, concise, and actionable insights for diverse audiences, effectively influencing technical and non technical stakeholders to drive data driven decision making and solution adoption. Demonstrable experience collaborating effectively with cross functional teams (e.g., engineering, product, business stakeholders) to translate business challenges into robust technical requirements and ensure seamless delivery. Key Technical Skills Exceptional proficiency in Python (and R) for data science, coupled with SQL capabilities for data manipulation and extraction. Demonstrable mastery in a wide range of machine learning and statistical modelling techniques, from classical linear models and tree based methods to advanced deep learning architectures. Practical experience with, or demonstrable capability for, applications of Generative AI, Large Language Models (LLMs) and related areas such as Natural Language Processing (NLP) or Computer Vision, relevant to business solutions. Solid understanding of foundational statistics and experimental design. Familiarity with or experience on cloud platforms. Impact and Achievements Pioneer the development and robust deployment of highly impactful machine learning and AI driven solutions, directly contributing to significant commercial value, quantifiable business growth, or efficiency gains across the organization. Translate complex data science insights into tangible, measurable improvements across critical business processes and key performance indicators, ensuring the real world adoption and beneficial outcomes of our analytical work. Actively elevate the technical maturity and capabilities of the data science team by shaping and implementing industry leading AI, data, and analytics techniques, methodologies, and engineering best practices.
Do you thrive on solving complex challenges, uncovering insights, and driving innovation with advanced analytics? If so, we could have the perfect opportunity for you! We're seeking a Principal Data Scientist to join our award-winning digital team at Stantec. You will be working alongside leading Analysts and Data Engineering experts to transform how we and our clients harness data. As a key member of our team, you'll play a critical role in shaping digital strategies, particularly within the water sector; helping clients optimize their assets, plan smarter investments, and improve environmental outcomes through cutting edge analytics. This role can be based from either our High Wycombe or London offices, with hybrid working allowing for a mix of in-office and home working. What You'll Be Doing Leading Data Science Initiatives - apply your expertise in data modelling, cleansing, and analytics to create innovative solutions that drive digital transformation. Deriving Powerful Insights - use predictive analytics and optimization techniques to help clients make smarter, data driven decisions. Building Intelligent Tools - develop automated solutions that enhance efficiency and provide clear, actionable insights. Driving Digital Innovation - work with technology and data to shape digital solutions that transform industry processes. Client Collaboration & Technical Delivery - partner directly with clients in the water industry, understanding their needs, designing solutions, and delivering high quality results. Mentoring & Team Leadership - support junior colleagues, ensuring technical excellence and professional development within the team. Shaping the Future of Our Digital Services - influence Stantec's growth by scoping proposals, contributing to technical standards, and winning new projects. About You You'll be an experienced data professional who excels in Python, with a proven ability to develop powerful data visualisations, implement machine learning models, and deploy solutions in the cloud (Azure). You understand the value of DevOps principles, version control, and integrating technical solutions seamlessly into client operations. You have a good understanding of the MS Power Platform and can incorporate it into solution designs and manage other team members to develop solutions in Power BI and Power Apps. Beyond technical skills, you'll be a proactive problem solver, an analytical thinker, and a true innovator-someone who can tell a compelling story with data and inspire change across our clients and projects. About Stantec The Stantec community unites more than 34,000 employees working in over 450 locations across 6 continents. We have been working with our clients and communities in the UK for over 150 years. We plan, design, deliver and manage the development and infrastructure needed to support the creation of sustainable, healthy and prosperous communities. Our teams provide effective and relevant solutions, translating our clients' vision into valued consents, deliverable plans for projects and programmes, and efficient designs for delivery, based on technical excellence and deep market insights. We deal with today's challenges, but also keep a fairer, better tomorrow in sight, looking at how we deliver clean growth, support radical changes in our economy and meet the needs of future communities. Stantec provides equal employment opportunities to all qualified employees and applicants for future and current employment and prohibits discrimination on the grounds of race, colour, religion, sex, national origin, age, marital status, genetic information, disability, sexual orientation, gender identity or gender expression. We prohibit discrimination in decisions concerning recruitment, hiring, referral, promotion, compensation, fringe benefits, job training, terminations or any other condition of employment. Stantec is in compliance with laws and regulations and ensures equitable opportunities in all aspects of employment. Building an inspired, inclusive work environment that attracts, supports, and develops world class talent is a crucial key to our success. If you are excited by this role but worry that your experience doesn't exactly align, we encourage you to apply. At Stantec we want you to perform your best at every stage of the recruitment process and are committed to ensuring it is accessible to all. If you need any support or require adjustments to be made then please contact and we will talk to you about how we can support you.
26/07/2026
Full time
Do you thrive on solving complex challenges, uncovering insights, and driving innovation with advanced analytics? If so, we could have the perfect opportunity for you! We're seeking a Principal Data Scientist to join our award-winning digital team at Stantec. You will be working alongside leading Analysts and Data Engineering experts to transform how we and our clients harness data. As a key member of our team, you'll play a critical role in shaping digital strategies, particularly within the water sector; helping clients optimize their assets, plan smarter investments, and improve environmental outcomes through cutting edge analytics. This role can be based from either our High Wycombe or London offices, with hybrid working allowing for a mix of in-office and home working. What You'll Be Doing Leading Data Science Initiatives - apply your expertise in data modelling, cleansing, and analytics to create innovative solutions that drive digital transformation. Deriving Powerful Insights - use predictive analytics and optimization techniques to help clients make smarter, data driven decisions. Building Intelligent Tools - develop automated solutions that enhance efficiency and provide clear, actionable insights. Driving Digital Innovation - work with technology and data to shape digital solutions that transform industry processes. Client Collaboration & Technical Delivery - partner directly with clients in the water industry, understanding their needs, designing solutions, and delivering high quality results. Mentoring & Team Leadership - support junior colleagues, ensuring technical excellence and professional development within the team. Shaping the Future of Our Digital Services - influence Stantec's growth by scoping proposals, contributing to technical standards, and winning new projects. About You You'll be an experienced data professional who excels in Python, with a proven ability to develop powerful data visualisations, implement machine learning models, and deploy solutions in the cloud (Azure). You understand the value of DevOps principles, version control, and integrating technical solutions seamlessly into client operations. You have a good understanding of the MS Power Platform and can incorporate it into solution designs and manage other team members to develop solutions in Power BI and Power Apps. Beyond technical skills, you'll be a proactive problem solver, an analytical thinker, and a true innovator-someone who can tell a compelling story with data and inspire change across our clients and projects. About Stantec The Stantec community unites more than 34,000 employees working in over 450 locations across 6 continents. We have been working with our clients and communities in the UK for over 150 years. We plan, design, deliver and manage the development and infrastructure needed to support the creation of sustainable, healthy and prosperous communities. Our teams provide effective and relevant solutions, translating our clients' vision into valued consents, deliverable plans for projects and programmes, and efficient designs for delivery, based on technical excellence and deep market insights. We deal with today's challenges, but also keep a fairer, better tomorrow in sight, looking at how we deliver clean growth, support radical changes in our economy and meet the needs of future communities. Stantec provides equal employment opportunities to all qualified employees and applicants for future and current employment and prohibits discrimination on the grounds of race, colour, religion, sex, national origin, age, marital status, genetic information, disability, sexual orientation, gender identity or gender expression. We prohibit discrimination in decisions concerning recruitment, hiring, referral, promotion, compensation, fringe benefits, job training, terminations or any other condition of employment. Stantec is in compliance with laws and regulations and ensures equitable opportunities in all aspects of employment. Building an inspired, inclusive work environment that attracts, supports, and develops world class talent is a crucial key to our success. If you are excited by this role but worry that your experience doesn't exactly align, we encourage you to apply. At Stantec we want you to perform your best at every stage of the recruitment process and are committed to ensuring it is accessible to all. If you need any support or require adjustments to be made then please contact and we will talk to you about how we can support you.
Job Type: Permanent Reporting to: RE&ILS Head of Data Location: London Role Overview: The Lead Data Scientist is a crucial member of the extended RE&ILS Tech Leadership Team, responsible for building, leading, and nurturing a highly capable (New) Data Science and Machine Learning chapter. This role facilitates the successful delivery of new AI Cloud-based solutions against our growing list of business use cases (involving complex Data Analytics, Machine Learning, and AI Agent based solutions). You will co lead the new Data Science chapter with the RE&ILS Head of Data and help ensure its members provide Data Science capabilities and insights to support decision making across RE&ILS strategic Value Streams. Whilst the chapter grows, you are expected to be hands on actively helping to architect, design, and build AI or Data Science based solutions, using internally trained models, LLMs and/or a combination of both. Whilst undertaking this pioneering work it is essential that you and your entire chapter operates within the boundaries of the Group AI Governance Framework and maintains rigorous data governance standards. You will be accountable for this adherence. This is likely to be your first managerial role and the first time you have had one or more direct reports - having previously been a Senior Data Scientist or Machine Learning Engineer yourself. Key Responsibilities Chapter Leadership & Talent Management People Management: Lead, recruit, mentor, coach, train, and retain a high performing chapter of Data Scientists and Machine Learning Engineers (expected to grow to over the next few years), including both Hiscox FTE and Partner colleagues. Culture & Development: Cultivate a collaborative, engaged, and fulfilled team culture. Provide technical leadership, career guidance, and direction to the team, ensuring successful delegation to all chapter members. Best Practice: Ensure the chapter adheres to best practices in data science, AI, and complex analytics, sharing knowledge across the wider Hiscox Analytics and Data community through active participation in Communities of Practice. Mentoring: Mentor and educate others in the various data science techniques, encouraging the team to continually learn - especially supporting the adoption of LLMs and proprietary models that could significantly accelerate our ability to deploy value. Solution Delivery & ML Ops Excellence Hands On Architecture: Get hands on to help architect, design, and build complex models that integrate into existing IT solutions to improve data driven decision making throughout the Reinsurance Value Chain. ML Ops Platform: Actively work with the Head of Platform Engineering to establish and maintain a professional ML Ops platform to facilitate the effective support of developed models in production. Speed of Execution: Empower the chapter to work effectively within autonomous squads, delivering desired and valuable outcomes in an incremental manner while correctly balancing accuracy, fast return on investment, and reliability. Pipeline Collaboration: Work with Data Engineering and other teams to properly understand and contribute to the requirements and building of necessary data pipelines/products consumed by our models. Strategy, Governance & Innovation Use Case Identification: Continually work with key business leaders, the Head of Data and key stakeholders to identify new use cases and opportunities where data science/AI can deliver a competitive advantage or reduce waste/costs through efficiency gains. Governance & Compliance: Champion data and model governance, working within the Group AI Governance Framework. Ensure a mature understanding of data governance, lineage, and version control, and enforce data privacy by design in all new work. Innovation: Maintain a strong awareness of new trends and techniques in Data Science, AI, and Machine Learning. Drive the identification of innovative data solutions and technologies, and actively undertake Proof of Concepts and R&D to deliver reliable insights and potential next steps quickly. Communication: Ensure clear and effective communication of data science solutions and outcomes across business layers, technical teams, and senior leadership. Required Experience & Structure Reporting to: RE&ILS Head of Data; dotted line to Group Head of Data Science. Direct line management for Data Scientists and Machine Learning Engineers within the RE&ILS Data Science Chapter. Key Partners: RE&ILS CTO, Group Head of Data Science, RE&ILS Head of Data, Product Managers, Product Owners, and strategic partners (e.g. Google Cloud, Microsoft). Candidate Profile The successful candidate will be an energetic, highly capable, and passionate Senior Data Scientist who wants to move into their first people management role. You will need to balance technical expertise with effective people management and strategic business partnership. You must be comfortable working in an FCA regulated business, advocating for a data driven approach, and driving innovation while maintaining rigorous AI governance standards. Key Experience Deep Interest in Leadership: Demonstrated mentoring and coaching of junior team members, with evidence of successful business outcomes driven using advanced Data Science/AI. Technical Depth: Extensive hands on experience in architecting, designing, and building complex ML models, with strong cloud services knowledge and AI/ML/LLM ecosystem understanding. ML Ops Maturity: Proven ability to build, maintain, and support production deployed models, establishing effective monitoring, evaluation, and refresh processes. AI and Data Governance: Mature understanding of AI and data governance, data obfuscation & privacy laws, data version control, lineage, and application of AI governance frameworks in a regulated environment. Stakeholder Management: Experience managing collaboration with business unit leaders and external technology partners. Education: Bachelor's/Master's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Physics, Engineering) or equivalent. Technical Proficiency: Exceptional proficiency in Python (and R), SQL capabilities, mastery of machine learning & statistical modelling techniques, including generative AI, LLMs, AI Agents, NLP, CV.
26/07/2026
Full time
Job Type: Permanent Reporting to: RE&ILS Head of Data Location: London Role Overview: The Lead Data Scientist is a crucial member of the extended RE&ILS Tech Leadership Team, responsible for building, leading, and nurturing a highly capable (New) Data Science and Machine Learning chapter. This role facilitates the successful delivery of new AI Cloud-based solutions against our growing list of business use cases (involving complex Data Analytics, Machine Learning, and AI Agent based solutions). You will co lead the new Data Science chapter with the RE&ILS Head of Data and help ensure its members provide Data Science capabilities and insights to support decision making across RE&ILS strategic Value Streams. Whilst the chapter grows, you are expected to be hands on actively helping to architect, design, and build AI or Data Science based solutions, using internally trained models, LLMs and/or a combination of both. Whilst undertaking this pioneering work it is essential that you and your entire chapter operates within the boundaries of the Group AI Governance Framework and maintains rigorous data governance standards. You will be accountable for this adherence. This is likely to be your first managerial role and the first time you have had one or more direct reports - having previously been a Senior Data Scientist or Machine Learning Engineer yourself. Key Responsibilities Chapter Leadership & Talent Management People Management: Lead, recruit, mentor, coach, train, and retain a high performing chapter of Data Scientists and Machine Learning Engineers (expected to grow to over the next few years), including both Hiscox FTE and Partner colleagues. Culture & Development: Cultivate a collaborative, engaged, and fulfilled team culture. Provide technical leadership, career guidance, and direction to the team, ensuring successful delegation to all chapter members. Best Practice: Ensure the chapter adheres to best practices in data science, AI, and complex analytics, sharing knowledge across the wider Hiscox Analytics and Data community through active participation in Communities of Practice. Mentoring: Mentor and educate others in the various data science techniques, encouraging the team to continually learn - especially supporting the adoption of LLMs and proprietary models that could significantly accelerate our ability to deploy value. Solution Delivery & ML Ops Excellence Hands On Architecture: Get hands on to help architect, design, and build complex models that integrate into existing IT solutions to improve data driven decision making throughout the Reinsurance Value Chain. ML Ops Platform: Actively work with the Head of Platform Engineering to establish and maintain a professional ML Ops platform to facilitate the effective support of developed models in production. Speed of Execution: Empower the chapter to work effectively within autonomous squads, delivering desired and valuable outcomes in an incremental manner while correctly balancing accuracy, fast return on investment, and reliability. Pipeline Collaboration: Work with Data Engineering and other teams to properly understand and contribute to the requirements and building of necessary data pipelines/products consumed by our models. Strategy, Governance & Innovation Use Case Identification: Continually work with key business leaders, the Head of Data and key stakeholders to identify new use cases and opportunities where data science/AI can deliver a competitive advantage or reduce waste/costs through efficiency gains. Governance & Compliance: Champion data and model governance, working within the Group AI Governance Framework. Ensure a mature understanding of data governance, lineage, and version control, and enforce data privacy by design in all new work. Innovation: Maintain a strong awareness of new trends and techniques in Data Science, AI, and Machine Learning. Drive the identification of innovative data solutions and technologies, and actively undertake Proof of Concepts and R&D to deliver reliable insights and potential next steps quickly. Communication: Ensure clear and effective communication of data science solutions and outcomes across business layers, technical teams, and senior leadership. Required Experience & Structure Reporting to: RE&ILS Head of Data; dotted line to Group Head of Data Science. Direct line management for Data Scientists and Machine Learning Engineers within the RE&ILS Data Science Chapter. Key Partners: RE&ILS CTO, Group Head of Data Science, RE&ILS Head of Data, Product Managers, Product Owners, and strategic partners (e.g. Google Cloud, Microsoft). Candidate Profile The successful candidate will be an energetic, highly capable, and passionate Senior Data Scientist who wants to move into their first people management role. You will need to balance technical expertise with effective people management and strategic business partnership. You must be comfortable working in an FCA regulated business, advocating for a data driven approach, and driving innovation while maintaining rigorous AI governance standards. Key Experience Deep Interest in Leadership: Demonstrated mentoring and coaching of junior team members, with evidence of successful business outcomes driven using advanced Data Science/AI. Technical Depth: Extensive hands on experience in architecting, designing, and building complex ML models, with strong cloud services knowledge and AI/ML/LLM ecosystem understanding. ML Ops Maturity: Proven ability to build, maintain, and support production deployed models, establishing effective monitoring, evaluation, and refresh processes. AI and Data Governance: Mature understanding of AI and data governance, data obfuscation & privacy laws, data version control, lineage, and application of AI governance frameworks in a regulated environment. Stakeholder Management: Experience managing collaboration with business unit leaders and external technology partners. Education: Bachelor's/Master's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Physics, Engineering) or equivalent. Technical Proficiency: Exceptional proficiency in Python (and R), SQL capabilities, mastery of machine learning & statistical modelling techniques, including generative AI, LLMs, AI Agents, NLP, CV.
A career without limits As the nation's flag carrier, we take great pride in connecting Britain with the world and the world with Britain. It's something we've been doing for over 100 years, ever since we launched the world's first international scheduled air service between London and Paris. This originality has been in our blood since day one. It's the spirit we share with the people that fly with us, our partners, and our colleagues. So, whether you are a reassuring voice on the end of a phone, a smile at the door, under a wing keeping the turbines spinning or landing us gently in far-flung places, a job at British Airways is yours to make. We know great things can happen when you're inspired to think big and bring your ambition to work every day, which is why, at British Airways the sky is never the limit. The role: Principal Data Scientist You'll be part of our Data & AI Delivery team, acting as a technical leader for the application of data science, machine learning, and AI across the organisation. This team plays a critical role in enabling secure, scalable and high-performing data and AI products that underpin data-driven decision-making across British Airways. What you'll do: Lead the end-to-end delivery and lifecycle management of data science products and initiatives Scope and frame ill-defined business problems and define data science solutions aligned with business goals Manage and coach data science teams delivering predictive models, optimisation engines and decision-support tools Design, build and deploy production-ready data science solutions that integrate with business processes and digital platforms Ensure quality, timely delivery and ongoing value of data science products Acquire, process and analyse large and complex datasets to create high-quality model inputs Translate analytical outputs into clear, actionable business recommendations Provide guidance to stakeholders on how data science solutions improve business outcomes Oversee improvements, maintenance and decommissioning of existing data science products Ensure adherence to published frameworks, best practice, model compliance and ethical standards Monitor industry trends and advancements in data science Work collaboratively within cross-functional Agile squads Contribute to feature prioritisation and road-mapping, balancing speed and long-term value Lead and embed effective agile ways of working, including engineering standards and delivery discipline What you'll bring to British Airways: Strong analytical mindset with the ability to structure ambiguous problems Proven technical leadership in data science and machine learning delivery Ability to communicate complex technical concepts clearly to senior and non-technical audiences Confidence challenging constructively and influencing senior stakeholders Strong stakeholder relationship-building capability Experience coaching, developing and line-managing others Ethical and responsible approach to data science and AI Collaborative, empowering and resilient working style Continuous improvement mindset with a strong focus on business impact Your experience: Numerate degree or equivalent with data science components Experience of leading others in applying data science to business problems Experience in developing industrialised software, especially data science or machine learning software products Experience in relevant business domains (transportation, airlines, operations, network problems) (preferred) What we offer: We believe that all the people who work with us should feel valued for the part they play. It's one of the reasons our rewards go far beyond a competitive salary. From the day you join us, you'll get access to brilliant staff travel benefits including unlimited basic and premium standby tickets on British Airways flights. You'll also receive up to 30 discounted 'Hotline' airfares per year for yourself, friends, and family. At British Airways you'll have the chance to take on new challenges and move forward in a way that feels right for you. We encourage all those who work for us to consider opportunities right across our business to help you develop and progress. We never stand still, and we don't expect our people to either. Inclusion & Diversity At British Airways we all have a part to play in creating an inclusive place to work. Diverse representation among our people is really important to us and we recognise that all our colleagues are uniquely different and bring their own originality, creativity and identity to work. Inclusion and diversity is a key driver of innovation and we're committed to creating a culture where everyone feels that they can be themselves. We're looking for people from all backgrounds and cultures to join us and be a part of our journey to become a Better BA as we continue to connect Britain with the world and the world with Britain.
26/07/2026
Full time
A career without limits As the nation's flag carrier, we take great pride in connecting Britain with the world and the world with Britain. It's something we've been doing for over 100 years, ever since we launched the world's first international scheduled air service between London and Paris. This originality has been in our blood since day one. It's the spirit we share with the people that fly with us, our partners, and our colleagues. So, whether you are a reassuring voice on the end of a phone, a smile at the door, under a wing keeping the turbines spinning or landing us gently in far-flung places, a job at British Airways is yours to make. We know great things can happen when you're inspired to think big and bring your ambition to work every day, which is why, at British Airways the sky is never the limit. The role: Principal Data Scientist You'll be part of our Data & AI Delivery team, acting as a technical leader for the application of data science, machine learning, and AI across the organisation. This team plays a critical role in enabling secure, scalable and high-performing data and AI products that underpin data-driven decision-making across British Airways. What you'll do: Lead the end-to-end delivery and lifecycle management of data science products and initiatives Scope and frame ill-defined business problems and define data science solutions aligned with business goals Manage and coach data science teams delivering predictive models, optimisation engines and decision-support tools Design, build and deploy production-ready data science solutions that integrate with business processes and digital platforms Ensure quality, timely delivery and ongoing value of data science products Acquire, process and analyse large and complex datasets to create high-quality model inputs Translate analytical outputs into clear, actionable business recommendations Provide guidance to stakeholders on how data science solutions improve business outcomes Oversee improvements, maintenance and decommissioning of existing data science products Ensure adherence to published frameworks, best practice, model compliance and ethical standards Monitor industry trends and advancements in data science Work collaboratively within cross-functional Agile squads Contribute to feature prioritisation and road-mapping, balancing speed and long-term value Lead and embed effective agile ways of working, including engineering standards and delivery discipline What you'll bring to British Airways: Strong analytical mindset with the ability to structure ambiguous problems Proven technical leadership in data science and machine learning delivery Ability to communicate complex technical concepts clearly to senior and non-technical audiences Confidence challenging constructively and influencing senior stakeholders Strong stakeholder relationship-building capability Experience coaching, developing and line-managing others Ethical and responsible approach to data science and AI Collaborative, empowering and resilient working style Continuous improvement mindset with a strong focus on business impact Your experience: Numerate degree or equivalent with data science components Experience of leading others in applying data science to business problems Experience in developing industrialised software, especially data science or machine learning software products Experience in relevant business domains (transportation, airlines, operations, network problems) (preferred) What we offer: We believe that all the people who work with us should feel valued for the part they play. It's one of the reasons our rewards go far beyond a competitive salary. From the day you join us, you'll get access to brilliant staff travel benefits including unlimited basic and premium standby tickets on British Airways flights. You'll also receive up to 30 discounted 'Hotline' airfares per year for yourself, friends, and family. At British Airways you'll have the chance to take on new challenges and move forward in a way that feels right for you. We encourage all those who work for us to consider opportunities right across our business to help you develop and progress. We never stand still, and we don't expect our people to either. Inclusion & Diversity At British Airways we all have a part to play in creating an inclusive place to work. Diverse representation among our people is really important to us and we recognise that all our colleagues are uniquely different and bring their own originality, creativity and identity to work. Inclusion and diversity is a key driver of innovation and we're committed to creating a culture where everyone feels that they can be themselves. We're looking for people from all backgrounds and cultures to join us and be a part of our journey to become a Better BA as we continue to connect Britain with the world and the world with Britain.
Your work will change lives. Including your own. Recursion is a leading, clinical-stage TechBio company decoding biology to industrialize drug discovery. Central to its mission is the Recursion Operating System (OS), a platform built across diverse technologies that continuously expands one of the world's largest proprietary biological, chemical and patient-centric 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, chemistry and patient-centric data to advance the future of medicine. In this role, you will: Build, scale, and operate in a validated data platform. You will be a member of the platform team responsible for building, operating, and tuning a data platform with petabyte scale data, and maintaining a GxP-compliant data platform for clinical data. These platforms allow our users to discover and query across the breadth of our data at Recursion, which includes a chemistry library of billions of compounds, cellular microscopy images taken in millions of different experimental contexts, and millions of assay results, all supporting Recursion's drug discovery. Engineer Data Integrity and Traceability. You will ensure data flows with integrity in the validated environment by building the automated audit trails and lineage required by 21 CFR Part 11 making our datasets in the clinical datalake queryable and relatable for regulatory questions. Additionally, you'll work with biologists, chemists, and data scientists to build relatability and query-ability into these datasets so they can be used in the future to answer the sorts of questions we haven't even thought of asking yet. Act as a mentor, coach, and sponsor. You will share your technical knowledge and experiences, delivering impact, learning, and growth across teams at Recursion. The Team You'll Join You will join the Data Lake team that built and maintains our Data Lake/house. The team is responsible for relational and object storage and has the motto: all data flows to the Data Lake. The team solves the problem of making our diverse data discoverable, queryable, and relatable across datasets while we continue to add new data modalities as we grow. This will require collaboration with many different groups including teams building out reports, dashboards, and applications, teams finding and generating the required data for machine learning problems, and teams building and iterating on new data processing pipelines. Nice to Haves: Experience in a regulated environment (Fintech, Medicine, Nuclear Industry, etc.), Experience with Search (Elasticsearch), Vector/Graph databases, or deep experience scaling within the GCP ecosystem is a significant plus. Working Location & Compensation This is an office-based, hybrid role in our London office. Employees are expected to work in the office at least 50% of the time. At Recursion, we believe that every employee should be compensated fairly. Based on the skill and level of experience required for this role, the estimated current annual base range for this role is £75,900 - £101,900. You will also be eligible for an annual bonus and equity compensation, as well as a comprehensive benefits package. Recursion is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected under applicable federal, state, local, or provincial human rights legislation. Accommodations are available on request for candidates taking part in all aspects of the selection process.
26/07/2026
Full time
Your work will change lives. Including your own. Recursion is a leading, clinical-stage TechBio company decoding biology to industrialize drug discovery. Central to its mission is the Recursion Operating System (OS), a platform built across diverse technologies that continuously expands one of the world's largest proprietary biological, chemical and patient-centric 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, chemistry and patient-centric data to advance the future of medicine. In this role, you will: Build, scale, and operate in a validated data platform. You will be a member of the platform team responsible for building, operating, and tuning a data platform with petabyte scale data, and maintaining a GxP-compliant data platform for clinical data. These platforms allow our users to discover and query across the breadth of our data at Recursion, which includes a chemistry library of billions of compounds, cellular microscopy images taken in millions of different experimental contexts, and millions of assay results, all supporting Recursion's drug discovery. Engineer Data Integrity and Traceability. You will ensure data flows with integrity in the validated environment by building the automated audit trails and lineage required by 21 CFR Part 11 making our datasets in the clinical datalake queryable and relatable for regulatory questions. Additionally, you'll work with biologists, chemists, and data scientists to build relatability and query-ability into these datasets so they can be used in the future to answer the sorts of questions we haven't even thought of asking yet. Act as a mentor, coach, and sponsor. You will share your technical knowledge and experiences, delivering impact, learning, and growth across teams at Recursion. The Team You'll Join You will join the Data Lake team that built and maintains our Data Lake/house. The team is responsible for relational and object storage and has the motto: all data flows to the Data Lake. The team solves the problem of making our diverse data discoverable, queryable, and relatable across datasets while we continue to add new data modalities as we grow. This will require collaboration with many different groups including teams building out reports, dashboards, and applications, teams finding and generating the required data for machine learning problems, and teams building and iterating on new data processing pipelines. Nice to Haves: Experience in a regulated environment (Fintech, Medicine, Nuclear Industry, etc.), Experience with Search (Elasticsearch), Vector/Graph databases, or deep experience scaling within the GCP ecosystem is a significant plus. Working Location & Compensation This is an office-based, hybrid role in our London office. Employees are expected to work in the office at least 50% of the time. At Recursion, we believe that every employee should be compensated fairly. Based on the skill and level of experience required for this role, the estimated current annual base range for this role is £75,900 - £101,900. You will also be eligible for an annual bonus and equity compensation, as well as a comprehensive benefits package. Recursion is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected under applicable federal, state, local, or provincial human rights legislation. Accommodations are available on request for candidates taking part in all aspects of the selection process.
Position Overview We're looking for a Lead Applied Scientist - Computer Vision to lead one of our Applied Science teams at Entrust. You will lead a team of 6 applied scientists that trains and evaluates vision-language models for data extraction on one side, and tiny models ( What you will be doing Define the team's roadmap together with product and engineering leads. Stay up to date on the vision language modelling and efficient ML literature, and translate these insights into product opportunities. Manage a team of 6 Applied Scientists. Contribute to the regular development lifecycle by creating datasets, training and evaluation code. Push the frontier of research in areas such as vision language modelling, document understanding, few shot learning, distillation, quantisation, and active learning. Publish research results in national and international conferences and scientific journals. Qualifications 2+ years of experience leading a team of ML scientists or research engineers. 5+ years of industry experience as an individual contributor in a machine learning science team, either as an ML scientist or research engineer. Strong experience in machine learning and computer vision. Strong record of delivering high performance ML driven products. Deep understanding of machine learning theory. Strong coding skills in Python and PyTorch. Preferred: Technical experience in document understanding, vision language modelling, few shot learning, distillation, quantisation, and active learning. Preferred: Publications at top level machine learning conferences. Preferred: Experience optimizing (distributed) training code. What are we looking for Scientific contributions: evidence of past work, publications, talks, or open source projects that influence the team's direction. Leadership & People Management: passion for growing people and fostering teamwork. Product and business acumen: ability to translate research into product impact and form lasting cross functional relationships. Where you will be London, UK (Hybrid - 3 days in office) EEO Statement Entrust is an EEO/AA/Disabled/Veterans Employer. Entrust values diversity and inclusion and we are committed to building a diverse workforce with wide perspectives and innovative ideas. We welcome applications from qualified individuals of all backgrounds, and we strive to provide an accessible experience for candidates of all abilities. If you require an accommodation, contact .
25/07/2026
Full time
Position Overview We're looking for a Lead Applied Scientist - Computer Vision to lead one of our Applied Science teams at Entrust. You will lead a team of 6 applied scientists that trains and evaluates vision-language models for data extraction on one side, and tiny models ( What you will be doing Define the team's roadmap together with product and engineering leads. Stay up to date on the vision language modelling and efficient ML literature, and translate these insights into product opportunities. Manage a team of 6 Applied Scientists. Contribute to the regular development lifecycle by creating datasets, training and evaluation code. Push the frontier of research in areas such as vision language modelling, document understanding, few shot learning, distillation, quantisation, and active learning. Publish research results in national and international conferences and scientific journals. Qualifications 2+ years of experience leading a team of ML scientists or research engineers. 5+ years of industry experience as an individual contributor in a machine learning science team, either as an ML scientist or research engineer. Strong experience in machine learning and computer vision. Strong record of delivering high performance ML driven products. Deep understanding of machine learning theory. Strong coding skills in Python and PyTorch. Preferred: Technical experience in document understanding, vision language modelling, few shot learning, distillation, quantisation, and active learning. Preferred: Publications at top level machine learning conferences. Preferred: Experience optimizing (distributed) training code. What are we looking for Scientific contributions: evidence of past work, publications, talks, or open source projects that influence the team's direction. Leadership & People Management: passion for growing people and fostering teamwork. Product and business acumen: ability to translate research into product impact and form lasting cross functional relationships. Where you will be London, UK (Hybrid - 3 days in office) EEO Statement Entrust is an EEO/AA/Disabled/Veterans Employer. Entrust values diversity and inclusion and we are committed to building a diverse workforce with wide perspectives and innovative ideas. We welcome applications from qualified individuals of all backgrounds, and we strive to provide an accessible experience for candidates of all abilities. If you require an accommodation, contact .
Stantec Consulting International Ltd. is seeking a Principal Data Scientist to join their digital team in the UK, focusing on innovative solutions for the water sector. The position offers hybrid working from their High Wycombe or London offices. The ideal candidate will excel in Python, data visualisations, and have experience with machine learning and cloud deployment. This role requires leadership in data science projects and collaboration with clients to deliver impactful results.
25/07/2026
Full time
Stantec Consulting International Ltd. is seeking a Principal Data Scientist to join their digital team in the UK, focusing on innovative solutions for the water sector. The position offers hybrid working from their High Wycombe or London offices. The ideal candidate will excel in Python, data visualisations, and have experience with machine learning and cloud deployment. This role requires leadership in data science projects and collaboration with clients to deliver impactful results.
Please note this is for London, UK. You only need to apply to one location if there are multiple listed for the job. At Ripple, we're building a world where value moves like information does today. It's big, it's bold, and we're already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs. If you're ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value. THE WORK We're looking for a Staff Data Scientist to be the technical lead across Ripple's diverse product and business portfolio. You'll define the analytics vision, build the scientific frameworks the org uses to evaluate product and business performance, and use AI tooling to accelerate the speed and reach of analytics across the company. In this role, you'll partner with product and business leads to frame the most important questions, set the analytical bar, and ensure decisions across surfaces rest on a consistent, thorough foundation. You'll operate as a force multiplier-solving the hardest problems, building the frameworks others reuse, and levelling up data scientists across teams. WHAT YOU'LL DO Be the DS tech lead across multiple product and business teams: setting methodological standards and unblocking the hardest analytical problems across areas including Treasury, Markets, Custody, and XRPL. Partner with product and business leads to define analytics strategy: shaping which initiatives to invest in, what success looks like, and how we'll know. Build the scientific frameworks Ripple reuses at scale: product and network health metrics, causal inference playbooks, liquidity and adoption models, and forecasting approaches that work across institutional and developer surfaces. Pioneer AI-accelerated analytics: applying LLMs and agentic workflows to scale insight generation, automate routine analysis, and enable self-serve exploration for non-DS partners. Drive evidence-based evaluation of growth across customers, corridors, and on chain activity, surfacing the causal drivers behind adoption and volume. Define and communicate the metrics leadership runs on: translating complex results into clear narratives for Ripple executives and external stakeholders. Raise the bar for the DS function through thought leadership and mentorship across embedded teams. WHAT YOU'LL BRING 8+ years in data science or quantitative analysis, with a track record of senior level impact across multiple teams. Technical leadership across cross-functional teams, influencing roadmaps and strategy at both executive and execution levels. Proven experience designing reusable analytics and measurement frameworks that scale across products. Hands on experience applying AI to accelerate analytics workflows (agentic analysis, AI assisted insight generation, natural language data interfaces). Deep expertise in experimentation, causal inference, forecasting, and statistical modeling in a product environment. Expertise in Python or R, fluency in SQL, and experience with large scale data tech (Databricks, Airflow, dBT a plus). Experience with FinTech, payments, crypto, or blockchain data is a strong plus. Advanced degree (MS, PhD) in a quantitative field preferred. Exceptional communication skills - able to turn technical depth into executive ready narratives. WHO WE ARE Do Your Best Work The opportunity to build in a fast paced start up environment with experienced industry leaders. A learning environment where you can dive deep into the latest technologies and make an impact. A professional development budget to support other modes of learning. Thrive in an environment where no matter what race, ethnicity, gender, origin, or culture they identify with, every employee is a respected, valued, and empowered part of the team. In office collaboration for moments that matter is important to our culture, and we give managers and teams the flexibility to decide which 10+ days a month they come in. Bi weekly all company meeting - business updates and ask me anything style discussion with our Leadership Team. We come together for moments that matter which include team off sites, team bonding activities, happy hours and more! Take Control of Your Finances Competitive salary, bonuses, and equity. Competitive benefits that cover physical and mental healthcare, retirement, family forming, and family support. Employee giving match. Take Care of Yourself R&R days so you can rest and recharge. Generous wellness reimbursement and weekly onsite & virtual programming. Generous vacation policy - work with your manager to take time off when you need it. Industry leading parental leave policies. Family planning benefits. Catered lunches, fully stocked kitchens with premium snacks/beverages, and plenty of fun events. Benefits listed above are for full time employees. Ripple is an Equal Opportunity Employer. We're committed to building a diverse and inclusive team. We do not discriminate against qualified employees or applicants because of race, color, religion, gender identity, sex, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by local law or ordinance.
25/07/2026
Full time
Please note this is for London, UK. You only need to apply to one location if there are multiple listed for the job. At Ripple, we're building a world where value moves like information does today. It's big, it's bold, and we're already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs. If you're ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value. THE WORK We're looking for a Staff Data Scientist to be the technical lead across Ripple's diverse product and business portfolio. You'll define the analytics vision, build the scientific frameworks the org uses to evaluate product and business performance, and use AI tooling to accelerate the speed and reach of analytics across the company. In this role, you'll partner with product and business leads to frame the most important questions, set the analytical bar, and ensure decisions across surfaces rest on a consistent, thorough foundation. You'll operate as a force multiplier-solving the hardest problems, building the frameworks others reuse, and levelling up data scientists across teams. WHAT YOU'LL DO Be the DS tech lead across multiple product and business teams: setting methodological standards and unblocking the hardest analytical problems across areas including Treasury, Markets, Custody, and XRPL. Partner with product and business leads to define analytics strategy: shaping which initiatives to invest in, what success looks like, and how we'll know. Build the scientific frameworks Ripple reuses at scale: product and network health metrics, causal inference playbooks, liquidity and adoption models, and forecasting approaches that work across institutional and developer surfaces. Pioneer AI-accelerated analytics: applying LLMs and agentic workflows to scale insight generation, automate routine analysis, and enable self-serve exploration for non-DS partners. Drive evidence-based evaluation of growth across customers, corridors, and on chain activity, surfacing the causal drivers behind adoption and volume. Define and communicate the metrics leadership runs on: translating complex results into clear narratives for Ripple executives and external stakeholders. Raise the bar for the DS function through thought leadership and mentorship across embedded teams. WHAT YOU'LL BRING 8+ years in data science or quantitative analysis, with a track record of senior level impact across multiple teams. Technical leadership across cross-functional teams, influencing roadmaps and strategy at both executive and execution levels. Proven experience designing reusable analytics and measurement frameworks that scale across products. Hands on experience applying AI to accelerate analytics workflows (agentic analysis, AI assisted insight generation, natural language data interfaces). Deep expertise in experimentation, causal inference, forecasting, and statistical modeling in a product environment. Expertise in Python or R, fluency in SQL, and experience with large scale data tech (Databricks, Airflow, dBT a plus). Experience with FinTech, payments, crypto, or blockchain data is a strong plus. Advanced degree (MS, PhD) in a quantitative field preferred. Exceptional communication skills - able to turn technical depth into executive ready narratives. WHO WE ARE Do Your Best Work The opportunity to build in a fast paced start up environment with experienced industry leaders. A learning environment where you can dive deep into the latest technologies and make an impact. A professional development budget to support other modes of learning. Thrive in an environment where no matter what race, ethnicity, gender, origin, or culture they identify with, every employee is a respected, valued, and empowered part of the team. In office collaboration for moments that matter is important to our culture, and we give managers and teams the flexibility to decide which 10+ days a month they come in. Bi weekly all company meeting - business updates and ask me anything style discussion with our Leadership Team. We come together for moments that matter which include team off sites, team bonding activities, happy hours and more! Take Control of Your Finances Competitive salary, bonuses, and equity. Competitive benefits that cover physical and mental healthcare, retirement, family forming, and family support. Employee giving match. Take Care of Yourself R&R days so you can rest and recharge. Generous wellness reimbursement and weekly onsite & virtual programming. Generous vacation policy - work with your manager to take time off when you need it. Industry leading parental leave policies. Family planning benefits. Catered lunches, fully stocked kitchens with premium snacks/beverages, and plenty of fun events. Benefits listed above are for full time employees. Ripple is an Equal Opportunity Employer. We're committed to building a diverse and inclusive team. We do not discriminate against qualified employees or applicants because of race, color, religion, gender identity, sex, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by local law or ordinance.
Ripple seeks a Staff Data Scientist to lead technical projects and define the analytics vision across various products. In this role, you'll employ AI to enhance analytics workflows and collaborate with product leads to set strategies. Ideal candidates will possess strong leadership in data science, with 8+ years of experience and an advanced degree in a quantitative field. Benefits for full-time employees include competitive salaries, bonuses, wellness programs, and generous vacation policies.
25/07/2026
Full time
Ripple seeks a Staff Data Scientist to lead technical projects and define the analytics vision across various products. In this role, you'll employ AI to enhance analytics workflows and collaborate with product leads to set strategies. Ideal candidates will possess strong leadership in data science, with 8+ years of experience and an advanced degree in a quantitative field. Benefits for full-time employees include competitive salaries, bonuses, wellness programs, and generous vacation policies.
Job Summary Bring your expertise to JPMorgan Chase. As part of Risk Management and Compliance, you are at the center of keeping JPMorgan Chase strong and resilient. You help the firm grow its business in a responsible way by anticipating new and emerging risks, and using your expert judgement to solve real-world challenges that impact our company, customers and communities. Our culture in Risk Management and Compliance is all about challenging the status quo and striving to be best in class. As a Vice President, Data Scientist in the Data Science team, you will help us shape the future of financial services by developing and implementing advanced AI solutions. You will collaborate with product, engineering, and business partners to create impactful, scalable tools that drive real business value. In this role, you will have the opportunity to experiment, learn, and innovate alongside a diverse team, leveraging your expertise in data science and finance. Together, we will deliver solutions that transform how we operate and serve our clients. Join us to make a meaningful difference and grow your career in a dynamic, inclusive environment. Job Responsibilities Demonstrate proficiency in the end-to-end model development lifecycle, including planning, execution, continuous improvement, risk management, and ensuring solutions are scalable and aligned with business objectives. Design and implement multi-agent systems, including orchestration layers that coordinate specialized agents, manage task routing, and integrate human-in-the-loop (HITL) controls. Implement robust drift monitoring and model retraining processes to maintain accuracy and performance through ongoing performance monitoring. Define and implement evaluation frameworks for AI/agentic systems, including prompt quality, agent performance, and business outcome metrics. Collaborate with senior leaders to re-engineer processes by embedding AI into current workflows, driving change and efficiency. Design, build, and deploy impactful AI and data-driven applications using cloud, data mesh, and knowledge base technologies such as centralized repositories, semantic search, and automated information retrieval systems that organize, store, and provide easy access to critical business data and insights. Integrate advanced analytics models and applications into operational workflows to ensure business value and adoption. Communicate analytical findings and recommendations to senior leadership. Required Qualifications, Capabilities, and Skills Experience in data science, analytics or a related field. Proven track record of deploying, operationalizing, and managing AI, ML, and advanced analytics models in a large-scale enterprise environment. Experience in AI/ML algorithms, statistical modeling, and scalable data processing pipelines. Experience with A/B experimentation and the ability to develop and debug production-quality code. Strong written and verbal communication skills, with the ability to convey technical concepts and results to both technical and business audiences. Scientific mindset with the ability to innovate and work both independently and collaboratively within a team. Ability to thrive in a matrix environment and build partnerships with colleagues at various levels and across multiple locations. Proven experience building and deploying multi-agent systems, including use of orchestration frameworks (e.g. LangGraph, ADK), agent design patterns, and production-grade system integration. Preferred Qualifications, Capabilities, and Skills Advanced degree (Master's or Ph.D.) in Data Science, Computer Science, Mathematics, Engineering, or a related field is preferred.
25/07/2026
Full time
Job Summary Bring your expertise to JPMorgan Chase. As part of Risk Management and Compliance, you are at the center of keeping JPMorgan Chase strong and resilient. You help the firm grow its business in a responsible way by anticipating new and emerging risks, and using your expert judgement to solve real-world challenges that impact our company, customers and communities. Our culture in Risk Management and Compliance is all about challenging the status quo and striving to be best in class. As a Vice President, Data Scientist in the Data Science team, you will help us shape the future of financial services by developing and implementing advanced AI solutions. You will collaborate with product, engineering, and business partners to create impactful, scalable tools that drive real business value. In this role, you will have the opportunity to experiment, learn, and innovate alongside a diverse team, leveraging your expertise in data science and finance. Together, we will deliver solutions that transform how we operate and serve our clients. Join us to make a meaningful difference and grow your career in a dynamic, inclusive environment. Job Responsibilities Demonstrate proficiency in the end-to-end model development lifecycle, including planning, execution, continuous improvement, risk management, and ensuring solutions are scalable and aligned with business objectives. Design and implement multi-agent systems, including orchestration layers that coordinate specialized agents, manage task routing, and integrate human-in-the-loop (HITL) controls. Implement robust drift monitoring and model retraining processes to maintain accuracy and performance through ongoing performance monitoring. Define and implement evaluation frameworks for AI/agentic systems, including prompt quality, agent performance, and business outcome metrics. Collaborate with senior leaders to re-engineer processes by embedding AI into current workflows, driving change and efficiency. Design, build, and deploy impactful AI and data-driven applications using cloud, data mesh, and knowledge base technologies such as centralized repositories, semantic search, and automated information retrieval systems that organize, store, and provide easy access to critical business data and insights. Integrate advanced analytics models and applications into operational workflows to ensure business value and adoption. Communicate analytical findings and recommendations to senior leadership. Required Qualifications, Capabilities, and Skills Experience in data science, analytics or a related field. Proven track record of deploying, operationalizing, and managing AI, ML, and advanced analytics models in a large-scale enterprise environment. Experience in AI/ML algorithms, statistical modeling, and scalable data processing pipelines. Experience with A/B experimentation and the ability to develop and debug production-quality code. Strong written and verbal communication skills, with the ability to convey technical concepts and results to both technical and business audiences. Scientific mindset with the ability to innovate and work both independently and collaboratively within a team. Ability to thrive in a matrix environment and build partnerships with colleagues at various levels and across multiple locations. Proven experience building and deploying multi-agent systems, including use of orchestration frameworks (e.g. LangGraph, ADK), agent design patterns, and production-grade system integration. Preferred Qualifications, Capabilities, and Skills Advanced degree (Master's or Ph.D.) in Data Science, Computer Science, Mathematics, Engineering, or a related field is preferred.
JPMorgan Chase & Co. is seeking a Vice President, Data Scientist in Bournemouth. This role focuses on developing advanced AI solutions that drive business value, collaborating closely with various teams including product and engineering. The candidate will implement scalable tools and work on multi-agent systems, ensuring compliance with business objectives. A strong background in data science and proven experience in deploying AI models are crucial for success in this dynamic and inclusive environment.
25/07/2026
Full time
JPMorgan Chase & Co. is seeking a Vice President, Data Scientist in Bournemouth. This role focuses on developing advanced AI solutions that drive business value, collaborating closely with various teams including product and engineering. The candidate will implement scalable tools and work on multi-agent systems, ensuring compliance with business objectives. A strong background in data science and proven experience in deploying AI models are crucial for success in this dynamic and inclusive environment.
Who We AreWe are DAC-a global full-funnel performance media agency dedicated to delivering transformative results. With expertise spanning SEO, paid media, creative production, analytics, and local optimization, we combine the brightest minds with innovative technology to deliver seamless, forward-thinking strategies. Powered by AI, data, and creative ingenuity, we deliver integrated campaigns that engage customers at every touchpoint-from global audiences to individual store locations.The Web Analyst supports the strategy, design, implementation, and ongoing optimization of digital measurement solutions across websites and marketing programs. This role blends web analytics implementation with cross-channel reporting and analysis, helping ensure that data is collected accurately, structured appropriately, and translated into clear business insights.The successful candidate will support tracking and tagging initiatives, validate data quality, and develop reporting that combines website, media, and first-party data sources. This individual will also use AI-enabled tools to accelerate reporting, create data visualizations, and support high-level analysis of business questions.This role works closely with web developers, data engineers, lead analysts, data scientists, and account teams to support analytics implementation, reporting, and performance analysis.Key Objectives of the RoleSupport web analytics strategy, measurement planning, and implementation across websites and campaignsTranslate business and stakeholder needs into tracking requirements, tagging plans, and reporting outputsEnsure data is collected accurately through proper tagging, implementation QA, and ongoing validationBuild and maintain reporting and visualizations across website, media, and first-party data sourcesUse AI-enabled tools to improve reporting workflows, streamline analysis, and surface insights more efficientlyInvestigate trends and performance changes across digital touchpoints and provide actionable recommendationsCollaborate with technical, media partners and analytics teams to maintain data integrity and improve reporting foundationsPosition AccountabilitiesLead and support Web Analytics engagements in partnership with account service, analytics, and technical teamsOwn the web analytics lifecycle across assigned projects, including measurement design, implementation support, QA, reporting, analysis, and recommendationsGather business requirements and translate them into tracking frameworks, measurement plans, and data collection specificationsSupport tagging and implementation activities for websites and campaigns, including variables, events, conversions, and other measurement requirementsPartner with developers and technical teams during implementation to ensure analytics requirements are correctly deployedPerform implementation QA and troubleshooting to validate tagging, data capture, and reporting accuracyMonitor data quality and identify issues related to tracking, tagging, discrepancies, or broken measurement logicDevelop recurring and ad hoc reporting that integrates website, media, and first-party data into clear and actionable views of performanceBuild dashboards, visualizations, and presentations that communicate performance trends, issues, and opportunities to stakeholdersAnalyze digital performance across websites and campaigns, identifying underperforming areas and opportunities to improve conversion, engagement, and efficiencyInvestigate business questions by connecting behavioral, campaign, and customer data to identify likely drivers of performance changesWork with Data Engineers to understand data architecture, source systems, data flows, and structures that support reporting and analysisCollaborate with Lead Analysts and Data Scientists on more advanced analysis, data interpretation, and insight developmentParticipate in client and internal presentations, helping explain findings, technical considerations, and strategic recommendationsContribute to the growth and evolution of the agency's analytics, implementation, and reporting capabilitiesPreferred RequirementsRelevant bachelor's degree or equivalent industry experience2-4 years of experience in web analytics, digital analytics, or marketing analyticsExperience with web analytics implementation, including tracking design, tagging requirements, QA, and troubleshootingFamiliarity with tag management systems and analytics platforms such as Google Tag Manager, Adobe Launch, Google Analytics, Adobe Analytics, or similar toolsStrong understanding of digital measurement frameworks, events, conversions, campaign tracking, and website performance metricsWorking knowledge of digital media channels, including paid search, paid social, and SEO, with an understanding of how campaigns are optimized and how media performance influences website behavior, traffic quality, and conversionExperience building reports and dashboards using website, media, and first-party dataFamiliarity with data visualization tools such as Power BI, Tableau, Looker Studio, or similar platformsUnderstanding of data architecture, data structures, and how raw source data translates into reporting outputsExperience using AI-enabled tools to support reporting, visualization, analysis, or workflow efficiencyStrong Excel and PowerPoint skillsStrong written, verbal, and presentation skillsAbility to communicate technical concepts and data insights clearly to both technical and non-technical stakeholdersComfortable working cross-functionally with developers, data engineers, analysts, and data scientistsStrong attention to detail, curiosity, and problem-solving abilityWhat you will getProfessional Growth: Work with top-tier clients and cutting-edge tools in the performance marketing industry.Collaborative Culture: Be part of a global organization that values curiosity, transparency, and innovation.Competitive Benefits:Competitive salary and comprehensive health benefits.Generous PTO, wellness initiatives and parental leave.Opportunities for continued learning and professional development.A supportive, collaborative, and casual work environment.How We WorkThis role requires three days in-office. Remote work is not available for this position.This description has been designed to indicate the general nature and level of work performed by employees within this position. The actual duties, responsibilities, and qualifications may vary based on assignment or group. DAC is an equal opportunity employer, committed to providing equal employment opportunities to all employees and applicants without regard to race, colour, ethnicity, gender, age, religion, creed, national origin, sexual orientation, gender identity, marital status, citizenship, genetic information, disability. If you require an accommodation in any aspect of the selection process, please reach out to
25/07/2026
Full time
Who We AreWe are DAC-a global full-funnel performance media agency dedicated to delivering transformative results. With expertise spanning SEO, paid media, creative production, analytics, and local optimization, we combine the brightest minds with innovative technology to deliver seamless, forward-thinking strategies. Powered by AI, data, and creative ingenuity, we deliver integrated campaigns that engage customers at every touchpoint-from global audiences to individual store locations.The Web Analyst supports the strategy, design, implementation, and ongoing optimization of digital measurement solutions across websites and marketing programs. This role blends web analytics implementation with cross-channel reporting and analysis, helping ensure that data is collected accurately, structured appropriately, and translated into clear business insights.The successful candidate will support tracking and tagging initiatives, validate data quality, and develop reporting that combines website, media, and first-party data sources. This individual will also use AI-enabled tools to accelerate reporting, create data visualizations, and support high-level analysis of business questions.This role works closely with web developers, data engineers, lead analysts, data scientists, and account teams to support analytics implementation, reporting, and performance analysis.Key Objectives of the RoleSupport web analytics strategy, measurement planning, and implementation across websites and campaignsTranslate business and stakeholder needs into tracking requirements, tagging plans, and reporting outputsEnsure data is collected accurately through proper tagging, implementation QA, and ongoing validationBuild and maintain reporting and visualizations across website, media, and first-party data sourcesUse AI-enabled tools to improve reporting workflows, streamline analysis, and surface insights more efficientlyInvestigate trends and performance changes across digital touchpoints and provide actionable recommendationsCollaborate with technical, media partners and analytics teams to maintain data integrity and improve reporting foundationsPosition AccountabilitiesLead and support Web Analytics engagements in partnership with account service, analytics, and technical teamsOwn the web analytics lifecycle across assigned projects, including measurement design, implementation support, QA, reporting, analysis, and recommendationsGather business requirements and translate them into tracking frameworks, measurement plans, and data collection specificationsSupport tagging and implementation activities for websites and campaigns, including variables, events, conversions, and other measurement requirementsPartner with developers and technical teams during implementation to ensure analytics requirements are correctly deployedPerform implementation QA and troubleshooting to validate tagging, data capture, and reporting accuracyMonitor data quality and identify issues related to tracking, tagging, discrepancies, or broken measurement logicDevelop recurring and ad hoc reporting that integrates website, media, and first-party data into clear and actionable views of performanceBuild dashboards, visualizations, and presentations that communicate performance trends, issues, and opportunities to stakeholdersAnalyze digital performance across websites and campaigns, identifying underperforming areas and opportunities to improve conversion, engagement, and efficiencyInvestigate business questions by connecting behavioral, campaign, and customer data to identify likely drivers of performance changesWork with Data Engineers to understand data architecture, source systems, data flows, and structures that support reporting and analysisCollaborate with Lead Analysts and Data Scientists on more advanced analysis, data interpretation, and insight developmentParticipate in client and internal presentations, helping explain findings, technical considerations, and strategic recommendationsContribute to the growth and evolution of the agency's analytics, implementation, and reporting capabilitiesPreferred RequirementsRelevant bachelor's degree or equivalent industry experience2-4 years of experience in web analytics, digital analytics, or marketing analyticsExperience with web analytics implementation, including tracking design, tagging requirements, QA, and troubleshootingFamiliarity with tag management systems and analytics platforms such as Google Tag Manager, Adobe Launch, Google Analytics, Adobe Analytics, or similar toolsStrong understanding of digital measurement frameworks, events, conversions, campaign tracking, and website performance metricsWorking knowledge of digital media channels, including paid search, paid social, and SEO, with an understanding of how campaigns are optimized and how media performance influences website behavior, traffic quality, and conversionExperience building reports and dashboards using website, media, and first-party dataFamiliarity with data visualization tools such as Power BI, Tableau, Looker Studio, or similar platformsUnderstanding of data architecture, data structures, and how raw source data translates into reporting outputsExperience using AI-enabled tools to support reporting, visualization, analysis, or workflow efficiencyStrong Excel and PowerPoint skillsStrong written, verbal, and presentation skillsAbility to communicate technical concepts and data insights clearly to both technical and non-technical stakeholdersComfortable working cross-functionally with developers, data engineers, analysts, and data scientistsStrong attention to detail, curiosity, and problem-solving abilityWhat you will getProfessional Growth: Work with top-tier clients and cutting-edge tools in the performance marketing industry.Collaborative Culture: Be part of a global organization that values curiosity, transparency, and innovation.Competitive Benefits:Competitive salary and comprehensive health benefits.Generous PTO, wellness initiatives and parental leave.Opportunities for continued learning and professional development.A supportive, collaborative, and casual work environment.How We WorkThis role requires three days in-office. Remote work is not available for this position.This description has been designed to indicate the general nature and level of work performed by employees within this position. The actual duties, responsibilities, and qualifications may vary based on assignment or group. DAC is an equal opportunity employer, committed to providing equal employment opportunities to all employees and applicants without regard to race, colour, ethnicity, gender, age, religion, creed, national origin, sexual orientation, gender identity, marital status, citizenship, genetic information, disability. If you require an accommodation in any aspect of the selection process, please reach out to
UK Centre for Ecology and Hydrology
Wallingford, Oxfordshire
Overview Salary: £50,447 - £53,535 + excellent benefits Contract type: Permanent Hybrid working 50/50 Working pattern: Full-time (37 hrs per week) or part-time (0.8FTE, 4x days per week) Location: Wallingford, Lancaster, Bangor or Edinburgh Closing date: Sunday 2 August 2026. We reserve the right to close this advert early if we find the right candidate, so we encourage you to apply early. About UKCEH UKCEH is a leading independent research institute with over 600 scientists studying how the natural world works. We take a connected approach across land, water and air to understand environmental systems and build resilience for people and the planet. About This Role At UKCEH, trusted, high-quality data underpins both our environmental research and the way we operate as an organisation. As our project portfolio grows, so does the need for consistent, well-governed and accessible insight that supports confident, evidence-based decision-making. We are seeking an experienced and inquisitive Business Intelligence (BI) Manager to provide leadership and oversight of our organisational reporting, ensuring data can be transformed into trusted, decision-ready insights. This is a new and impactful role, focused on strengthening how we manage and use data beyond scientific systems, particularly across project and financial reporting. Within this role, you will have the autonomy to shape and evolve a more connected and reliable data environment, with the freedom to create, establish, maintain and continuously improve how organisational data is structured and used. You will lead the development of a centralised data environment, bringing together project, financial, people and other operational data into a single, trusted source, improving visibility of organisational performance and supporting more effective planning and decision-making. Working within an evolving Microsoft-based data ecosystem, you will reduce reliance on manual processes while bringing clarity and consistency to reporting. Your work will help colleagues plan effectively, manage risk and make informed decisions, while laying the foundations for future innovation, including automation and AI-enabled analytics, supporting outcomes that benefit both people and the planet. Responsibilities Leading and shaping UKCEH's business intelligence and reporting strategy, defining how data is governed, trusted and used Establishing authoritative data sources, shared definitions and key metrics to create a consistent organisational data foundation Overseeing the Power BI platform, ensuring high standards of data quality, security and appropriate access control Defining and maintaining the BI operating model, including standards, governance and best practice for reporting Designing and developing trusted datasets, semantic models and dashboards that support organisational decision-making Transforming reporting by reducing reliance on manual processes, duplicated spreadsheets and high-risk workarounds Partnering with senior stakeholders within Finance, People, Workplace, IT and system owners to prioritise reporting needs and deliver measurable business value Building organisational capability through training, guidance and best practice, while acting as a trusted advisor to senior stakeholders Reporting into the Business Systems Manager, you will partner with senior leaders and system/process owners to shape how data is understood and used across the organisation, translating complex information into clear, actionable insight You will work closely with colleagues across Finance, Project Accounting, People, IT and other Professional Services Teams, acting as UKCEH's specialist in business intelligence and reporting within a collaborative professional services environment In this role, you will drive the development of UKCEH's BI capability - designing data models, architecture and governance frameworks that bring together information from multiple systems into trusted reporting datasets Through tools such as Power BI, you will enable greater visibility of project performance, financial oversight and operational delivery, while building confidence and capability in data across teams Your work will play a key role in advancing UKCEH's data maturity, establishing scalable foundations that support continuous improvement and future innovation What we're looking for Significant experience in business intelligence, analytics or management information Strong understanding of data modelling, reporting best practice and dashboard design Experience establishing standards, governance and quality controls for data and reporting Experience designing or building data warehouses or data lakes Proficiency in data extraction, storage and maintenance and integrating data from multiple systems for reporting Excellent stakeholder management skills with the ability to influence senior leaders and Board members Ability to communicate complex data concepts clearly to non-technical audiences A proactive, analytical approach with excellent attention to detail Demonstrates initiative and creativity, generating innovative ideas to enhance reporting, performance management, data governance and operational efficiency What will help you stand out Experience with Power BI and Microsoft data platforms Experience working in a federated or matrix organisational environment, working closely with a variety of teams and datasets reporting teams Background in project-based or research-focused organisations Knowledge of Azure, Fabric or similar technologies Experience improving processes through automation Exposure to advanced analytics or AI-enabled tools Exposure to AI-enabled analytics, automation and advanced reporting tools (desirable) How to apply and what happens next If you're interested in this role, we'd love to hear from you. You'll be directed to our Workday portal where you'll create an account and upload your CV and your responses to the questions below (approx. 8 mins). Your responses are an important part of our assessment process, so please take the time to complete them thoughtfully: A separate cover letter is not required Use clear, concise examples that demonstrate your personal contribution, relevant skills, qualifications (if applicable) and impact Limit your responses to a maximum of 150 words per question Questions: Q1. Tell us about a time you designed or implemented a data warehouse or reporting solution. What approach did you take and what was the outcome? Q2. How have you ensured data quality and governance in a previous role? Q3. What tools and techniques have you used to integrate data from multiple systems? Q4. If appointed, what would your priorities be during your first six months to create a trusted, organisation-wide BI function? Working at UKCEH You'll be joining a leading independent, not-for-profit research institute, where your work will have real impact. Our science helps people and the environment to prosper and informs decisions that benefit society as a whole. We're proud to be custodians of over 60 years of environmental data, and just as proud of the people behind it. You'll be supported to develop your career, grow your skills and thrive in a collaborative, purpose-driven environment. What we offer At UKCEH, we recognise your dedication and provide a comprehensive benefits package designed to support you both at work and at home. When you join us, you'll benefit from: Generous annual leave - 27 days (rising to 29 days after 5 years) +3 for Christmas closure 10% employer pension contribution Financial protection through life assurance and income protection Enhanced family-friendly policies Flexible and hybrid working options (depending on your role) Lifestyle perks including dental, gym, retail and cycling discounts A commitment to wellbeing, supported by a range of internal initiatives Employee Assistance Programme and health benefits, including 24/7 support with remote GP access, mental health, physiotherapy and lifestyle services Peer recognition and rewards that celebrate your contribution Salary sacrifice agreement benefits including Electric & Plug-in Hybrid vehicle and Cycle2Work schemes Interest-free annual travel season ticket loans (terms apply) Our commitment to inclusion At UKCEH, we believe everyone should feel welcome and able to be themselves at work. We warmly encourage applications from people of all backgrounds, experiences and identities. As a Disability Confident employer, we're happy to support you with any adjustments you may need throughout the recruitment process. Our approach to AI and applications We understand that candidates may use AI tools to support their application. We encourage you to ensure your submission reflects your own experience, skills and suitability for the role. Every application that meets the essential criteria will be reviewed by our recruitment panel. A note on sponsorship Unfortunately, we are unable to offer visa sponsorship for this role and this does not qualify for endorsement to support a Global Talent Visa application. If you are considering pursuing self-sponsorship, please indicate this in your application so we can take it into account during the recruitment process. Additional information Here you can explore the kind of roles we recruit for, search our latest vacancies . click apply for full job details
25/07/2026
Full time
Overview Salary: £50,447 - £53,535 + excellent benefits Contract type: Permanent Hybrid working 50/50 Working pattern: Full-time (37 hrs per week) or part-time (0.8FTE, 4x days per week) Location: Wallingford, Lancaster, Bangor or Edinburgh Closing date: Sunday 2 August 2026. We reserve the right to close this advert early if we find the right candidate, so we encourage you to apply early. About UKCEH UKCEH is a leading independent research institute with over 600 scientists studying how the natural world works. We take a connected approach across land, water and air to understand environmental systems and build resilience for people and the planet. About This Role At UKCEH, trusted, high-quality data underpins both our environmental research and the way we operate as an organisation. As our project portfolio grows, so does the need for consistent, well-governed and accessible insight that supports confident, evidence-based decision-making. We are seeking an experienced and inquisitive Business Intelligence (BI) Manager to provide leadership and oversight of our organisational reporting, ensuring data can be transformed into trusted, decision-ready insights. This is a new and impactful role, focused on strengthening how we manage and use data beyond scientific systems, particularly across project and financial reporting. Within this role, you will have the autonomy to shape and evolve a more connected and reliable data environment, with the freedom to create, establish, maintain and continuously improve how organisational data is structured and used. You will lead the development of a centralised data environment, bringing together project, financial, people and other operational data into a single, trusted source, improving visibility of organisational performance and supporting more effective planning and decision-making. Working within an evolving Microsoft-based data ecosystem, you will reduce reliance on manual processes while bringing clarity and consistency to reporting. Your work will help colleagues plan effectively, manage risk and make informed decisions, while laying the foundations for future innovation, including automation and AI-enabled analytics, supporting outcomes that benefit both people and the planet. Responsibilities Leading and shaping UKCEH's business intelligence and reporting strategy, defining how data is governed, trusted and used Establishing authoritative data sources, shared definitions and key metrics to create a consistent organisational data foundation Overseeing the Power BI platform, ensuring high standards of data quality, security and appropriate access control Defining and maintaining the BI operating model, including standards, governance and best practice for reporting Designing and developing trusted datasets, semantic models and dashboards that support organisational decision-making Transforming reporting by reducing reliance on manual processes, duplicated spreadsheets and high-risk workarounds Partnering with senior stakeholders within Finance, People, Workplace, IT and system owners to prioritise reporting needs and deliver measurable business value Building organisational capability through training, guidance and best practice, while acting as a trusted advisor to senior stakeholders Reporting into the Business Systems Manager, you will partner with senior leaders and system/process owners to shape how data is understood and used across the organisation, translating complex information into clear, actionable insight You will work closely with colleagues across Finance, Project Accounting, People, IT and other Professional Services Teams, acting as UKCEH's specialist in business intelligence and reporting within a collaborative professional services environment In this role, you will drive the development of UKCEH's BI capability - designing data models, architecture and governance frameworks that bring together information from multiple systems into trusted reporting datasets Through tools such as Power BI, you will enable greater visibility of project performance, financial oversight and operational delivery, while building confidence and capability in data across teams Your work will play a key role in advancing UKCEH's data maturity, establishing scalable foundations that support continuous improvement and future innovation What we're looking for Significant experience in business intelligence, analytics or management information Strong understanding of data modelling, reporting best practice and dashboard design Experience establishing standards, governance and quality controls for data and reporting Experience designing or building data warehouses or data lakes Proficiency in data extraction, storage and maintenance and integrating data from multiple systems for reporting Excellent stakeholder management skills with the ability to influence senior leaders and Board members Ability to communicate complex data concepts clearly to non-technical audiences A proactive, analytical approach with excellent attention to detail Demonstrates initiative and creativity, generating innovative ideas to enhance reporting, performance management, data governance and operational efficiency What will help you stand out Experience with Power BI and Microsoft data platforms Experience working in a federated or matrix organisational environment, working closely with a variety of teams and datasets reporting teams Background in project-based or research-focused organisations Knowledge of Azure, Fabric or similar technologies Experience improving processes through automation Exposure to advanced analytics or AI-enabled tools Exposure to AI-enabled analytics, automation and advanced reporting tools (desirable) How to apply and what happens next If you're interested in this role, we'd love to hear from you. You'll be directed to our Workday portal where you'll create an account and upload your CV and your responses to the questions below (approx. 8 mins). Your responses are an important part of our assessment process, so please take the time to complete them thoughtfully: A separate cover letter is not required Use clear, concise examples that demonstrate your personal contribution, relevant skills, qualifications (if applicable) and impact Limit your responses to a maximum of 150 words per question Questions: Q1. Tell us about a time you designed or implemented a data warehouse or reporting solution. What approach did you take and what was the outcome? Q2. How have you ensured data quality and governance in a previous role? Q3. What tools and techniques have you used to integrate data from multiple systems? Q4. If appointed, what would your priorities be during your first six months to create a trusted, organisation-wide BI function? Working at UKCEH You'll be joining a leading independent, not-for-profit research institute, where your work will have real impact. Our science helps people and the environment to prosper and informs decisions that benefit society as a whole. We're proud to be custodians of over 60 years of environmental data, and just as proud of the people behind it. You'll be supported to develop your career, grow your skills and thrive in a collaborative, purpose-driven environment. What we offer At UKCEH, we recognise your dedication and provide a comprehensive benefits package designed to support you both at work and at home. When you join us, you'll benefit from: Generous annual leave - 27 days (rising to 29 days after 5 years) +3 for Christmas closure 10% employer pension contribution Financial protection through life assurance and income protection Enhanced family-friendly policies Flexible and hybrid working options (depending on your role) Lifestyle perks including dental, gym, retail and cycling discounts A commitment to wellbeing, supported by a range of internal initiatives Employee Assistance Programme and health benefits, including 24/7 support with remote GP access, mental health, physiotherapy and lifestyle services Peer recognition and rewards that celebrate your contribution Salary sacrifice agreement benefits including Electric & Plug-in Hybrid vehicle and Cycle2Work schemes Interest-free annual travel season ticket loans (terms apply) Our commitment to inclusion At UKCEH, we believe everyone should feel welcome and able to be themselves at work. We warmly encourage applications from people of all backgrounds, experiences and identities. As a Disability Confident employer, we're happy to support you with any adjustments you may need throughout the recruitment process. Our approach to AI and applications We understand that candidates may use AI tools to support their application. We encourage you to ensure your submission reflects your own experience, skills and suitability for the role. Every application that meets the essential criteria will be reviewed by our recruitment panel. A note on sponsorship Unfortunately, we are unable to offer visa sponsorship for this role and this does not qualify for endorsement to support a Global Talent Visa application. If you are considering pursuing self-sponsorship, please indicate this in your application so we can take it into account during the recruitment process. Additional information Here you can explore the kind of roles we recruit for, search our latest vacancies . click apply for full job details
A part of Colgate-Palmolive since 1976, Hill's Pet Nutrition offers the highest-quality pet nutrition available through product lines Prescription Diet and Science Diet . Veterinarians worldwide recommend and feed their own pets Hill's products more than any other brand of pet food. Available in approximately 80 countries around the world, our extensive line of products includes more than 60 Prescription Diet brand pet foods and more than 50 Science Diet brand pet foods. We believe all animals should be loved and cared for during their lifetimes. That is why we are proud our pet foods can make a difference in your pet's life. A career at Hill's Pet Nutrition or Colgate-Palmolive is an excellent opportunity if you seek a global experience, constant challenge, and development opportunities in an environment that respects work/life effectiveness. No Relocation Assistance Offered Who We Are Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specialising in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name! Join Colgate-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values-Caring, Inclusive, and Courageous-we foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all. Position Details Location: United Kingdom Reporting to: Director, eCommerce Hill's EMEA Salary range per annum: £53,100 - £59,000 "At Hill's we have a purpose to transform the lives of millions of pet families through pioneering innovation, science-led nutrition, and the best and brightest people. If you're interested in work that matters, fueled by passion for pets, we invite you to apply. Founded more than 75 years ago with an unwavering commitment to pet nutrition, Hill's mission is to help enrich and lengthen the special relationships between people and their pets. Our decades of science and research guide us in creating nutrition that's a step ahead so pets and pet parents can enjoy every day together. As the US Veterinarian recommended pet food brand, knowledge is our first ingredient with 220+ veterinarians, PhD nutritionists and food scientists working to develop breakthrough innovations in pet health." Position Summary The purpose of this role is to own and execute the Digital Shelf strategy across Europe for a major pureplay online retailer. You will hold direct responsibility for Content, Search Placement, and Ratings & Reviews, while holding indirect responsibility for on-shelf availability by collaborating with the wider commercial team to drive core metrics. You will lead the Pan-European test-and-learn strategy for content, continuously optimizing pages to maximize traffic and conversion rates. Working in close partnership with the Retail Media manager, you will ensure the delivery of high-converting landing pages for all media activations. Furthermore, you will partner with brand and content teams to guarantee a best-in-class shopper experience. This role requires robust analytical capabilities; you will measure page performance, content completeness, and overall digital shelf health against corporate targets. You must be highly proficient in eCommerce strategies, understanding exactly how to optimize a retailer's website across Brand Stores, Product Detail Pages (PDPs), taxonomy, and site search. Success in this role requires leveraging enterprise Digital Shelf Management platforms to translate data metrics into actionable commercial strategies. Responsibilities Content: responsible for loading and ensuring compliance of Product Detail Page (PDP) content while managing A/B testing and continuous optimisation of retailer content. Serve as the internal expert on premium content requirements, guiding brand and content teams through activation processes. Strategy & Tools: set the broader EMEA Digital Shelf Strategy and manage the regional relationship with the enterprise Digital Shelf tool provider. Collaborate with Global Digital teams to activate strategies across EMEA and support local country teams on digital shelf fundamentals. Search Placement: measure and improve organic placement and share of page in line with targets while owning the keyword strategy to ensure all content is fully optimised. Use digital shelf strategies to optimise for the retailer's search algorithm to drive visibility and conversion. Ratings & Reviews: own the overarching strategy for the retailer to ensure strict brand metric compliance while managing the full lifecycle of ratings and reviews. Track consumer sentiment and deliver actionable insights to the brand teams. Skills and Competencies Digital Shelf Expertise: proven experience setting and activating a Pan-EU Digital Shelf strategy with a major pureplay retailer. Analytical Rigor: demonstrated ability to interpret complex digital shelf data and translate insights into actions that improve KPIs. Commercial Acumen: deep understanding of how Retail Media, Digital Shelf, and eCommerce commercial functions interconnect to drive brand growth and execution. Agility: ability to remain flexible in a rapidly evolving marketing landscape and prioritise workloads effectively under pressure. Communication: excellent stakeholder management skills, capable of influencing. Technical Proficiency: hands on experience with advanced content measurement and management tools is highly preferred. Required Qualifications Degree in Business, Marketing, Digital Commerce or related field 5+ years experience in eCommerce, Digital Marketing or related field Experience working with Digital Shelf tools and large data sets to create continuous improvement and drive growth Experience in optimizing retailer algorithm across Digital Shelf KPI's Excellent oral and written communication skills. Fluency in English (written and oral). Preferred Qualifications Pet Nutrition or related industry experience. Knowledge of market places, 1P & 3P selling Strong experience using AI-powered tools. Digital Marketing experience Working proficiency in a second core European language (e.g., French, German, Spanish, or Italian) Master's degree in Business, Marketing, Digital or a similar field. Our Commitment to Inclusion Our journey begins with our people-developing strong talent with diverse backgrounds and perspectives to best serve our consumers around the world and fostering an inclusive environment where everyone feels a true sense of belonging. We are dedicated to ensuring that each individual can be their authentic self, is treated with respect, and is empowered by leadership to contribute meaningfully to our business. Equal Opportunity Employer Colgate is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law. Reasonable accommodation during the application process is available for persons with disabilities. Please complete this request form should you require accommodation.
25/07/2026
Full time
A part of Colgate-Palmolive since 1976, Hill's Pet Nutrition offers the highest-quality pet nutrition available through product lines Prescription Diet and Science Diet . Veterinarians worldwide recommend and feed their own pets Hill's products more than any other brand of pet food. Available in approximately 80 countries around the world, our extensive line of products includes more than 60 Prescription Diet brand pet foods and more than 50 Science Diet brand pet foods. We believe all animals should be loved and cared for during their lifetimes. That is why we are proud our pet foods can make a difference in your pet's life. A career at Hill's Pet Nutrition or Colgate-Palmolive is an excellent opportunity if you seek a global experience, constant challenge, and development opportunities in an environment that respects work/life effectiveness. No Relocation Assistance Offered Who We Are Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specialising in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name! Join Colgate-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values-Caring, Inclusive, and Courageous-we foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all. Position Details Location: United Kingdom Reporting to: Director, eCommerce Hill's EMEA Salary range per annum: £53,100 - £59,000 "At Hill's we have a purpose to transform the lives of millions of pet families through pioneering innovation, science-led nutrition, and the best and brightest people. If you're interested in work that matters, fueled by passion for pets, we invite you to apply. Founded more than 75 years ago with an unwavering commitment to pet nutrition, Hill's mission is to help enrich and lengthen the special relationships between people and their pets. Our decades of science and research guide us in creating nutrition that's a step ahead so pets and pet parents can enjoy every day together. As the US Veterinarian recommended pet food brand, knowledge is our first ingredient with 220+ veterinarians, PhD nutritionists and food scientists working to develop breakthrough innovations in pet health." Position Summary The purpose of this role is to own and execute the Digital Shelf strategy across Europe for a major pureplay online retailer. You will hold direct responsibility for Content, Search Placement, and Ratings & Reviews, while holding indirect responsibility for on-shelf availability by collaborating with the wider commercial team to drive core metrics. You will lead the Pan-European test-and-learn strategy for content, continuously optimizing pages to maximize traffic and conversion rates. Working in close partnership with the Retail Media manager, you will ensure the delivery of high-converting landing pages for all media activations. Furthermore, you will partner with brand and content teams to guarantee a best-in-class shopper experience. This role requires robust analytical capabilities; you will measure page performance, content completeness, and overall digital shelf health against corporate targets. You must be highly proficient in eCommerce strategies, understanding exactly how to optimize a retailer's website across Brand Stores, Product Detail Pages (PDPs), taxonomy, and site search. Success in this role requires leveraging enterprise Digital Shelf Management platforms to translate data metrics into actionable commercial strategies. Responsibilities Content: responsible for loading and ensuring compliance of Product Detail Page (PDP) content while managing A/B testing and continuous optimisation of retailer content. Serve as the internal expert on premium content requirements, guiding brand and content teams through activation processes. Strategy & Tools: set the broader EMEA Digital Shelf Strategy and manage the regional relationship with the enterprise Digital Shelf tool provider. Collaborate with Global Digital teams to activate strategies across EMEA and support local country teams on digital shelf fundamentals. Search Placement: measure and improve organic placement and share of page in line with targets while owning the keyword strategy to ensure all content is fully optimised. Use digital shelf strategies to optimise for the retailer's search algorithm to drive visibility and conversion. Ratings & Reviews: own the overarching strategy for the retailer to ensure strict brand metric compliance while managing the full lifecycle of ratings and reviews. Track consumer sentiment and deliver actionable insights to the brand teams. Skills and Competencies Digital Shelf Expertise: proven experience setting and activating a Pan-EU Digital Shelf strategy with a major pureplay retailer. Analytical Rigor: demonstrated ability to interpret complex digital shelf data and translate insights into actions that improve KPIs. Commercial Acumen: deep understanding of how Retail Media, Digital Shelf, and eCommerce commercial functions interconnect to drive brand growth and execution. Agility: ability to remain flexible in a rapidly evolving marketing landscape and prioritise workloads effectively under pressure. Communication: excellent stakeholder management skills, capable of influencing. Technical Proficiency: hands on experience with advanced content measurement and management tools is highly preferred. Required Qualifications Degree in Business, Marketing, Digital Commerce or related field 5+ years experience in eCommerce, Digital Marketing or related field Experience working with Digital Shelf tools and large data sets to create continuous improvement and drive growth Experience in optimizing retailer algorithm across Digital Shelf KPI's Excellent oral and written communication skills. Fluency in English (written and oral). Preferred Qualifications Pet Nutrition or related industry experience. Knowledge of market places, 1P & 3P selling Strong experience using AI-powered tools. Digital Marketing experience Working proficiency in a second core European language (e.g., French, German, Spanish, or Italian) Master's degree in Business, Marketing, Digital or a similar field. Our Commitment to Inclusion Our journey begins with our people-developing strong talent with diverse backgrounds and perspectives to best serve our consumers around the world and fostering an inclusive environment where everyone feels a true sense of belonging. We are dedicated to ensuring that each individual can be their authentic self, is treated with respect, and is empowered by leadership to contribute meaningfully to our business. Equal Opportunity Employer Colgate is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law. Reasonable accommodation during the application process is available for persons with disabilities. Please complete this request form should you require accommodation.
Location: LCFC Training Ground, Seagrave Hours: Full Time Contract Type: Permanent Working from our world class training facility at LCFC Training Ground, Seagrave, you will join an elite performance environment dedicated to supporting excellence both on and off the pitch. Our state of the art training ground brings together leading coaches, analysts, sports scientists and performance specialists, creating a collaborative and innovative culture where your work can have a direct impact on First Team performance and success. Help Drive Performance Through Insight We are seeking a talented and motivated First Team Performance Analyst to join our Performance Analysis department. Reporting to the Lead Performance Analyst, you will play a vital role in delivering detailed performance analysis through the effective use of video, data and tactical insight. Working closely with First Team coaches, players and multidisciplinary support staff, you will provide the intelligence needed to enhance match preparation, inform tactical decision making and support continuous performance improvement. This is an exciting opportunity to work within a high performance football environment where analytical insight is central to achieving success at the highest level of the game. The Role As a First Team Performance Analyst, you will be responsible for producing and communicating high quality analytical insights that support coaching delivery, player development and team performance. You will combine video analysis, performance data and tactical expertise to deliver meaningful, actionable information across training sessions, matchdays, opposition analysis and performance reviews. The role will also involve supporting live analysis operations and contributing to the ongoing development of analytical systems, workflows and technologies across the First Team. Key Responsibilities Deliver detailed performance analysis to support First Team coaches and players, providing timely, accurate and actionable insights. Produce comprehensive opposition analysis, identifying tactical trends, strengths, weaknesses and key performance indicators through video and data analysis. Support First Team training sessions and matchdays through the operation of live touchline video systems and analysis workflows. Create high quality analytical resources including video presentations, reports, dashboards and visualisations to support match preparation, player development and performance review. Use specialist analysis software and telestration tools to communicate tactical concepts, coaching points and performance insights clearly and effectively. Collaborate closely with the Data & Insights department to integrate performance data within analytical workflows and enhance coaching practice and decision making. Support the development and continuous improvement of analysis systems, technologies and operational workflows. Maintain video, data and analytical resource libraries, ensuring all content is accurately organised, securely stored and readily accessible. Remain at the forefront of developments in football performance analysis, emerging technology and industry best practice, identifying opportunities to enhance analytical delivery. About You You will be a highly organised and proactive performance analyst with experience working within a professional football environment. You will possess strong technical and tactical knowledge, exceptional attention to detail and the ability to communicate complex information in a clear and impactful way. You will thrive in a fast paced environment and be passionate about using analysis to support decision making and improve performance. Experience working within a professional football performance analysis environment, preferably at First Team level. Proven experience using video capture, coding, editing, telestration and presentation software, including Hudl Sportscode, Hudl Studio and Keynote. CAA approved drone operator qualification, with experience safely capturing and producing high quality aerial footage within a sporting environment. Strong tactical understanding of football, with the ability to identify, interpret and communicate tactical and technical concepts, team principles and performance trends. Excellent organisational and time management skills, with the ability to manage multiple priorities and consistently deliver under pressure. Excellent interpersonal and communication skills, with the ability to build positive working relationships across multidisciplinary teams. Exceptional attention to detail and commitment to producing work of the highest standard. Bachelor's degree in Performance Analysis, Sport Science or a related discipline (or equivalent relevant experience). Experience providing live match analysis support and operating live video workflows in a stadium environment. Experience using performance data platforms and integrating video and data analysis to support coaching practice. Postgraduate qualification (e.g. MSc) in Performance Analysis, Sport Science or a related discipline. Full UK Driving Licence. Why Join Us? This is a fantastic opportunity to become part of an ambitious football club where performance analysis plays a key role in supporting success on the pitch. Based at the Club's cutting edge training ground in Seagrave, you will work alongside experienced coaches, analysts and performance practitioners in an environment that values innovation, collaboration and continuous development. Your work will directly contribute to enhancing player and team performance while supporting the delivery of elite level football operations. Safeguarding, Equality & Compliance The successful candidate will be expected to carry out all responsibilities in line with the Club's values, policies and procedures, particularly in relation to Safeguarding, Equality, Diversity & Inclusion, Health & Safety, Confidentiality and Data Protection. A sound understanding of governance, information security, cyber security and GDPR requirements is essential, alongside a commitment to undertaking all mandatory Club training. About The Club Leicester City Football Club has a rich and proud history - we're more than just a football club; we're a community. Formed in 1884, we've achieved incredible milestones, including becoming Premier League champions in 2016 and winning the FA Cup in 2021. Our commitment to the local community, fans, and world class experiences extends beyond the pitch. With the opening of our new state of the art training ground in 2021, we continue to invest in our growth and success. Our team at Leicester City is more than just colleagues - we invite you to join our Club and experience the exciting opportunities of a life in the football industry! Benefits Package Our people are the lifeblood of the Club, and we feel should be rewarded as such - we offer a competitive salary, pension scheme and life assurance for all permanent employees. You'll enjoy free onsite parking, access to our subsidised staff restaurants and up to 33 days of annual leave (including bank holidays) amongst a host of other great employee benefits! Leicester City Football Club believes that football is for all, and we are committed to Diversity and Inclusion, where valuing the individual is our highest priority. We are working to see equality across all areas of the Club and welcome applications from all areas of the community. If you have any requirements in regard to the recruitment process, please let us know; we are happy to support your needs. Next Steps We'll be reviewing applications as and when they are submitted and invite shortlisted candidates for interviews, so don't wait - if you think this role sounds like the right fit, apply today! We're excited to hear from you and can't wait to see how you'll help us reach new heights!
25/07/2026
Full time
Location: LCFC Training Ground, Seagrave Hours: Full Time Contract Type: Permanent Working from our world class training facility at LCFC Training Ground, Seagrave, you will join an elite performance environment dedicated to supporting excellence both on and off the pitch. Our state of the art training ground brings together leading coaches, analysts, sports scientists and performance specialists, creating a collaborative and innovative culture where your work can have a direct impact on First Team performance and success. Help Drive Performance Through Insight We are seeking a talented and motivated First Team Performance Analyst to join our Performance Analysis department. Reporting to the Lead Performance Analyst, you will play a vital role in delivering detailed performance analysis through the effective use of video, data and tactical insight. Working closely with First Team coaches, players and multidisciplinary support staff, you will provide the intelligence needed to enhance match preparation, inform tactical decision making and support continuous performance improvement. This is an exciting opportunity to work within a high performance football environment where analytical insight is central to achieving success at the highest level of the game. The Role As a First Team Performance Analyst, you will be responsible for producing and communicating high quality analytical insights that support coaching delivery, player development and team performance. You will combine video analysis, performance data and tactical expertise to deliver meaningful, actionable information across training sessions, matchdays, opposition analysis and performance reviews. The role will also involve supporting live analysis operations and contributing to the ongoing development of analytical systems, workflows and technologies across the First Team. Key Responsibilities Deliver detailed performance analysis to support First Team coaches and players, providing timely, accurate and actionable insights. Produce comprehensive opposition analysis, identifying tactical trends, strengths, weaknesses and key performance indicators through video and data analysis. Support First Team training sessions and matchdays through the operation of live touchline video systems and analysis workflows. Create high quality analytical resources including video presentations, reports, dashboards and visualisations to support match preparation, player development and performance review. Use specialist analysis software and telestration tools to communicate tactical concepts, coaching points and performance insights clearly and effectively. Collaborate closely with the Data & Insights department to integrate performance data within analytical workflows and enhance coaching practice and decision making. Support the development and continuous improvement of analysis systems, technologies and operational workflows. Maintain video, data and analytical resource libraries, ensuring all content is accurately organised, securely stored and readily accessible. Remain at the forefront of developments in football performance analysis, emerging technology and industry best practice, identifying opportunities to enhance analytical delivery. About You You will be a highly organised and proactive performance analyst with experience working within a professional football environment. You will possess strong technical and tactical knowledge, exceptional attention to detail and the ability to communicate complex information in a clear and impactful way. You will thrive in a fast paced environment and be passionate about using analysis to support decision making and improve performance. Experience working within a professional football performance analysis environment, preferably at First Team level. Proven experience using video capture, coding, editing, telestration and presentation software, including Hudl Sportscode, Hudl Studio and Keynote. CAA approved drone operator qualification, with experience safely capturing and producing high quality aerial footage within a sporting environment. Strong tactical understanding of football, with the ability to identify, interpret and communicate tactical and technical concepts, team principles and performance trends. Excellent organisational and time management skills, with the ability to manage multiple priorities and consistently deliver under pressure. Excellent interpersonal and communication skills, with the ability to build positive working relationships across multidisciplinary teams. Exceptional attention to detail and commitment to producing work of the highest standard. Bachelor's degree in Performance Analysis, Sport Science or a related discipline (or equivalent relevant experience). Experience providing live match analysis support and operating live video workflows in a stadium environment. Experience using performance data platforms and integrating video and data analysis to support coaching practice. Postgraduate qualification (e.g. MSc) in Performance Analysis, Sport Science or a related discipline. Full UK Driving Licence. Why Join Us? This is a fantastic opportunity to become part of an ambitious football club where performance analysis plays a key role in supporting success on the pitch. Based at the Club's cutting edge training ground in Seagrave, you will work alongside experienced coaches, analysts and performance practitioners in an environment that values innovation, collaboration and continuous development. Your work will directly contribute to enhancing player and team performance while supporting the delivery of elite level football operations. Safeguarding, Equality & Compliance The successful candidate will be expected to carry out all responsibilities in line with the Club's values, policies and procedures, particularly in relation to Safeguarding, Equality, Diversity & Inclusion, Health & Safety, Confidentiality and Data Protection. A sound understanding of governance, information security, cyber security and GDPR requirements is essential, alongside a commitment to undertaking all mandatory Club training. About The Club Leicester City Football Club has a rich and proud history - we're more than just a football club; we're a community. Formed in 1884, we've achieved incredible milestones, including becoming Premier League champions in 2016 and winning the FA Cup in 2021. Our commitment to the local community, fans, and world class experiences extends beyond the pitch. With the opening of our new state of the art training ground in 2021, we continue to invest in our growth and success. Our team at Leicester City is more than just colleagues - we invite you to join our Club and experience the exciting opportunities of a life in the football industry! Benefits Package Our people are the lifeblood of the Club, and we feel should be rewarded as such - we offer a competitive salary, pension scheme and life assurance for all permanent employees. You'll enjoy free onsite parking, access to our subsidised staff restaurants and up to 33 days of annual leave (including bank holidays) amongst a host of other great employee benefits! Leicester City Football Club believes that football is for all, and we are committed to Diversity and Inclusion, where valuing the individual is our highest priority. We are working to see equality across all areas of the Club and welcome applications from all areas of the community. If you have any requirements in regard to the recruitment process, please let us know; we are happy to support your needs. Next Steps We'll be reviewing applications as and when they are submitted and invite shortlisted candidates for interviews, so don't wait - if you think this role sounds like the right fit, apply today! We're excited to hear from you and can't wait to see how you'll help us reach new heights!
F. Hoffmann-La Roche Gruppe in Welwyn Hatfield is seeking a skilled machine learning engineer to work closely with scientists and product leaders in AI Enablement. You will design and develop scalable AI/ML systems to enhance scientific data analysis and treatment discovery. The ideal candidate will hold an advanced degree in Computer Science with proven experience in machine learning engineering and strong proficiency in AI/ML frameworks. The role requires onsite work 3 days per week and offers an inclusive and innovative work environment.
25/07/2026
Full time
F. Hoffmann-La Roche Gruppe in Welwyn Hatfield is seeking a skilled machine learning engineer to work closely with scientists and product leaders in AI Enablement. You will design and develop scalable AI/ML systems to enhance scientific data analysis and treatment discovery. The ideal candidate will hold an advanced degree in Computer Science with proven experience in machine learning engineering and strong proficiency in AI/ML frameworks. The role requires onsite work 3 days per week and offers an inclusive and innovative work environment.
At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters. The Position As a machine learning engineer in AI Enablement, you will be working closely with folks that span across Computational Scientists, Research Scientists, AI/ML experts, Product leaders, DevOps, and everyone in between. You'll build, own, and constantly improve scalable AI/ML based systems that unlock the potential of our diverse scientific data, accelerating the discovery and development of life changing treatments for patients. Design, develop, and test robust, scalable, and maintainable AI/ML facing scientific web applications and backend systems. Build tools to evaluate AI/ML model performance and establish new ways to understand AI quality. Partner with product managers and scientists to understand user needs, shape requirements, and translate them into actionable technical specifications. Develop and maintain systems for collecting, structuring, and storing diverse scientific data that support advanced analytics, machine learning, and other data driven initiatives. Implement, adopt, or evaluate new AI/ML algorithms and analytical techniques. Contribute to architectural decisions, code reviews, and the evolution of our development processes. Be willing to span the stack and contribute where needed, even outside of your core area of expertise. Stay up to date with emerging technologies and industry best practices and adopt a culture of continuous learning, collaboration, and curiosity. Who You Are: Master's or Ph.D. in Computer Science or similar technical field, or equivalent experience Established professional experience in machine learning engineering roles. Strong proficiency with AI/ML frameworks, libraries, and toolsets. Expert knowledge of statistics, machine learning theory, and algorithms. Strong knowledge of ML performance optimization, GPU best practices. Experience with Kubernetes, relational databases, NoSQL databases, or data lakes, and experience working on cloud native architectures in public clouds (ideally AWS). Proven understanding and application of engineering best practices. Excellent communication skills and ability to build trusted partnerships with internal and external collaborators. Ability to quickly acquire new technologies and programming languages and a passion for continuous learning. Preferred But Not Required: Experience with imaging or biological data and processes is a strong plus. Experience working with scientists or in a research environment is advantageous. Experience with workflow automation, GenAI, and/or agents is a plus. Additional Information This position requires onsite work 3 days per week No relocation support Equal Opportunity Employer The statements herein are intended to describe the general nature and level of work being performed by employees, and are not to be construed as an exhaustive list of responsibilities, duties, and skills required of personnel so classified. Furthermore, they do not establish a contract for employment and are subject to change at the discretion of Roche Products Ltd. At Roche Products we believe diversity drives innovation and we are committed to building a diverse and flexible working environment. All qualified applicants will receive consideration for employment without regard to race, religion or belief, sex, gender reassignment, sexual orientation, marriage and civil partnership, pregnancy and maternity, disability or age. We recognize the importance of flexible working and will review all applicants' requests with care. At Roche difference is valued and we are proud to be an equal opportunity employer where you are encouraged to bring your whole self to work.
25/07/2026
Full time
At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters. The Position As a machine learning engineer in AI Enablement, you will be working closely with folks that span across Computational Scientists, Research Scientists, AI/ML experts, Product leaders, DevOps, and everyone in between. You'll build, own, and constantly improve scalable AI/ML based systems that unlock the potential of our diverse scientific data, accelerating the discovery and development of life changing treatments for patients. Design, develop, and test robust, scalable, and maintainable AI/ML facing scientific web applications and backend systems. Build tools to evaluate AI/ML model performance and establish new ways to understand AI quality. Partner with product managers and scientists to understand user needs, shape requirements, and translate them into actionable technical specifications. Develop and maintain systems for collecting, structuring, and storing diverse scientific data that support advanced analytics, machine learning, and other data driven initiatives. Implement, adopt, or evaluate new AI/ML algorithms and analytical techniques. Contribute to architectural decisions, code reviews, and the evolution of our development processes. Be willing to span the stack and contribute where needed, even outside of your core area of expertise. Stay up to date with emerging technologies and industry best practices and adopt a culture of continuous learning, collaboration, and curiosity. Who You Are: Master's or Ph.D. in Computer Science or similar technical field, or equivalent experience Established professional experience in machine learning engineering roles. Strong proficiency with AI/ML frameworks, libraries, and toolsets. Expert knowledge of statistics, machine learning theory, and algorithms. Strong knowledge of ML performance optimization, GPU best practices. Experience with Kubernetes, relational databases, NoSQL databases, or data lakes, and experience working on cloud native architectures in public clouds (ideally AWS). Proven understanding and application of engineering best practices. Excellent communication skills and ability to build trusted partnerships with internal and external collaborators. Ability to quickly acquire new technologies and programming languages and a passion for continuous learning. Preferred But Not Required: Experience with imaging or biological data and processes is a strong plus. Experience working with scientists or in a research environment is advantageous. Experience with workflow automation, GenAI, and/or agents is a plus. Additional Information This position requires onsite work 3 days per week No relocation support Equal Opportunity Employer The statements herein are intended to describe the general nature and level of work being performed by employees, and are not to be construed as an exhaustive list of responsibilities, duties, and skills required of personnel so classified. Furthermore, they do not establish a contract for employment and are subject to change at the discretion of Roche Products Ltd. At Roche Products we believe diversity drives innovation and we are committed to building a diverse and flexible working environment. All qualified applicants will receive consideration for employment without regard to race, religion or belief, sex, gender reassignment, sexual orientation, marriage and civil partnership, pregnancy and maternity, disability or age. We recognize the importance of flexible working and will review all applicants' requests with care. At Roche difference is valued and we are proud to be an equal opportunity employer where you are encouraged to bring your whole self to work.
Background At Motion Applied - Connected Intelligence (CI), we create cutting edge wireless connectivity solutions that are transforming customer experience across the transport industry. We create solutions that drive efficiency and cost-effectiveness for customers, delivering unrivalled internet connectivity services. Purpose of the Role This is an opportunity to join our Software Engineering community as a Site Reliability Engineer (SRE) leading initiatives that create and improve the CI Platform as a Service (Paas) offering to the product delivery teams. Enabling product development teams to deliver software products on immutable infrastructure. Developing and facilitating production and development infrastructure and associated tooling. Integrating third party managed services used for delivery and development lifecycle. Lead on implementation of the CI cloud governance policy and be a key participant in maintaining and updating the policy in accordance with technology shifts, customer feedback and product development needs. Be an open minded technologist who values a collaborative work environment and is willing to learn and explore as the fast paced industry evolves and changes. Key Responsibilities Key contributor to the Roadmap for the CI Platform. Development and maintenance of the CI Platform. Collaborate and consult with software engineers and data scientists to help design and implement robust and scalable software products. Knowledge sharing and education of team members to enable our DevOps culture. Proactively monitor costs and security posture of the CI Platform and products running on it. Define and implement tooling to continually improve our software development, release and maintenance processes. Develop product features with product delivery teams, building upon the CI Platform offering. Supporting our live systems, including identifying and implementing improvements to products, tools and processes to improve the on going reliability of our solutions. Design and implement infrastructure for multi region and multi tenant products and platform. Design and implement monitoring infrastructure for real time data streams. Design network and access to allow software engineers and data scientists to access services in AWS while keeping the services and data safe and secure. Enable and collaborate with teams to automate the entire delivery of a product. From a single web application to the configuration of a cloud account. Design and implement security and access management so that users and roles have access only to resources they need within the AWS account and attaching IoT devices. Identify root cause of live issues, to help both recover any immediate situation and design/implement improvements for future reliability. Experience We are Looking For Working with delivery teams deploying software on the cloud. Strategic technical leadership, in particular related to Site Reliability Engineering. Evidence of tailored and contextual communication in all directions to realise value as feedback and enquiry. Hands on experience in delivering production quality services. Experience in supporting live production systems. Required We are looking for an applicant who has: a Bachelor's degree in computer science, similar technical field of study, or equivalent practical experience. 5 + years of hands on experience with large cloud providers such as AWS, Azure, GCP, or OCI. Leading technical initiatives including roadmap input, cross team collaboration and mentoring. Proficiency in Infrastructure as Code (IaC) tools such as Terraform. 3 + years of hands on experience with containerization and orchestration tools like Docker and Kubernetes. Experience working in and developing for a Linux environment. Excellent programming, debugging, and optimisation skills and at least one strong purpose programming language (Go or Python preferred). Solid understanding of DevOps practices, CI/CD pipelines and version control e.g. Git. Knowledge of observability and monitoring tools e.g. Prometheus, Grafana, ELK etc. Experience in troubleshooting incidents and live environments. Ability to write and speak in English fluently. Desirable & Development Areas Familiarity with AWS Well Architected Framework. Designing, building and maintaining multi tenant and multi region cloud infrastructure. Exposure to configuration management tools like Ansible or SaltStack. Knowledge in cyber security, including but not limited to threat intelligence, IAM, key management systems, data security, application security, applied cryptography, certificate management. Cost optimisation experience at a platform or organisation level. Experience of IoT systems integration, protocols, and services, including gRPC and MQTT. Networking concepts and network performance modelling / optimisation. Experience with Hashicorp tools like Vault or Consul. AWS Certified Solutions Architect - Professional or AWS Certified DevOps Engineer - Professional. Location This role is based at our head office in central Woking. The role is included in our hybrid working policy with the expectation of a minimum of two days a week in the office, which should be co ordinated with other members of the Engineering team. What We Can Offer You Annual leave (25 days + bank holidays, pro rated for part time colleagues). Enhanced Company Maternity, Paternity and Adoption leave and pay. Flexible working policies, including Hybrid Working. Life assurance to the value of 4 times base salary. Opportunity to join the Motion Applied Pension Plan. Company funded individual private healthcare with the opportunity to extend to partner or spouse and/or dependents at a discounted rate. Electric car scheme - opportunity to drive a brand new car in a more affordable way through this salary sacrifice scheme. Employees are eligible to join the scheme after successful completion of their probationary period. Motion Applied are committed to Diversity, Equality and Inclusion (DEI) and promote DEI in all we do. Motion Applied are also members of the UK Government Disability Confident Scheme.
25/07/2026
Full time
Background At Motion Applied - Connected Intelligence (CI), we create cutting edge wireless connectivity solutions that are transforming customer experience across the transport industry. We create solutions that drive efficiency and cost-effectiveness for customers, delivering unrivalled internet connectivity services. Purpose of the Role This is an opportunity to join our Software Engineering community as a Site Reliability Engineer (SRE) leading initiatives that create and improve the CI Platform as a Service (Paas) offering to the product delivery teams. Enabling product development teams to deliver software products on immutable infrastructure. Developing and facilitating production and development infrastructure and associated tooling. Integrating third party managed services used for delivery and development lifecycle. Lead on implementation of the CI cloud governance policy and be a key participant in maintaining and updating the policy in accordance with technology shifts, customer feedback and product development needs. Be an open minded technologist who values a collaborative work environment and is willing to learn and explore as the fast paced industry evolves and changes. Key Responsibilities Key contributor to the Roadmap for the CI Platform. Development and maintenance of the CI Platform. Collaborate and consult with software engineers and data scientists to help design and implement robust and scalable software products. Knowledge sharing and education of team members to enable our DevOps culture. Proactively monitor costs and security posture of the CI Platform and products running on it. Define and implement tooling to continually improve our software development, release and maintenance processes. Develop product features with product delivery teams, building upon the CI Platform offering. Supporting our live systems, including identifying and implementing improvements to products, tools and processes to improve the on going reliability of our solutions. Design and implement infrastructure for multi region and multi tenant products and platform. Design and implement monitoring infrastructure for real time data streams. Design network and access to allow software engineers and data scientists to access services in AWS while keeping the services and data safe and secure. Enable and collaborate with teams to automate the entire delivery of a product. From a single web application to the configuration of a cloud account. Design and implement security and access management so that users and roles have access only to resources they need within the AWS account and attaching IoT devices. Identify root cause of live issues, to help both recover any immediate situation and design/implement improvements for future reliability. Experience We are Looking For Working with delivery teams deploying software on the cloud. Strategic technical leadership, in particular related to Site Reliability Engineering. Evidence of tailored and contextual communication in all directions to realise value as feedback and enquiry. Hands on experience in delivering production quality services. Experience in supporting live production systems. Required We are looking for an applicant who has: a Bachelor's degree in computer science, similar technical field of study, or equivalent practical experience. 5 + years of hands on experience with large cloud providers such as AWS, Azure, GCP, or OCI. Leading technical initiatives including roadmap input, cross team collaboration and mentoring. Proficiency in Infrastructure as Code (IaC) tools such as Terraform. 3 + years of hands on experience with containerization and orchestration tools like Docker and Kubernetes. Experience working in and developing for a Linux environment. Excellent programming, debugging, and optimisation skills and at least one strong purpose programming language (Go or Python preferred). Solid understanding of DevOps practices, CI/CD pipelines and version control e.g. Git. Knowledge of observability and monitoring tools e.g. Prometheus, Grafana, ELK etc. Experience in troubleshooting incidents and live environments. Ability to write and speak in English fluently. Desirable & Development Areas Familiarity with AWS Well Architected Framework. Designing, building and maintaining multi tenant and multi region cloud infrastructure. Exposure to configuration management tools like Ansible or SaltStack. Knowledge in cyber security, including but not limited to threat intelligence, IAM, key management systems, data security, application security, applied cryptography, certificate management. Cost optimisation experience at a platform or organisation level. Experience of IoT systems integration, protocols, and services, including gRPC and MQTT. Networking concepts and network performance modelling / optimisation. Experience with Hashicorp tools like Vault or Consul. AWS Certified Solutions Architect - Professional or AWS Certified DevOps Engineer - Professional. Location This role is based at our head office in central Woking. The role is included in our hybrid working policy with the expectation of a minimum of two days a week in the office, which should be co ordinated with other members of the Engineering team. What We Can Offer You Annual leave (25 days + bank holidays, pro rated for part time colleagues). Enhanced Company Maternity, Paternity and Adoption leave and pay. Flexible working policies, including Hybrid Working. Life assurance to the value of 4 times base salary. Opportunity to join the Motion Applied Pension Plan. Company funded individual private healthcare with the opportunity to extend to partner or spouse and/or dependents at a discounted rate. Electric car scheme - opportunity to drive a brand new car in a more affordable way through this salary sacrifice scheme. Employees are eligible to join the scheme after successful completion of their probationary period. Motion Applied are committed to Diversity, Equality and Inclusion (DEI) and promote DEI in all we do. Motion Applied are also members of the UK Government Disability Confident Scheme.
National Energy System Operator Limited
Warwick, Warwickshire
About the Role As a Data Scientist on the Energy Insights & Analysis (EIA) team, you will be integral to managing data, maintaining and delivering models that support the UK's 2050 net zero emissions target. You will model the future energy mix, work closely with stakeholders and technology partners, and contribute to the continuous improvement of the EIA team. This role can be based in Wokingham, Warwick or Glasgow and offers hybrid working from office and home. Key Accountabilities Understand the needs of the business and develop solutions that support net zero targets. Engage with stakeholders at all levels to gather and understand requirements. Identify where existing models or processes need to adapt to reflect changing needs. Apply computer science, economics, statistics and data management skills to solve business problems. Collaborate with analysis teams and technology partners to deliver models, tools and process improvements. Mentor and guide others on model development and best practices (higher level). Drive coordinated change in modelling, quality assurance and technology deployment (higher level). Lead cross departmental projects, improving accuracy, transparency and turnaround time (higher level). About You Strong problem solving skills and ability to meet tight deadlines. Advanced programming skills in Python, Excel and SQL. Experience building and evaluating predictive models. Inquisitive mindset with ability to connect disparate pieces of information. Excellent interpersonal and communication skills. Experience influencing internal and external stakeholders at various levels. Team orientated, able to drive delivery with diverse groups. Project management and planning skills to meet activities, deliverables and deadlines. Experience with cloud platforms such as MS Azure or Palantir Foundry (desirable). Interest and background in energy decarbonisation (desirable). Right to Work Applicants must have the right to work in the UK by the start of employment. Visa sponsorship may not be available. What You'll Get Competitive salary of £61,000 - £72,000, depending on experience and capability. Performance based bonus. 26 days of annual leave. Contributory pension scheme with double company match up to 12% of your contribution. Annual enrollment to NESO Savings Plan with a 50% match on £20 £500 monthly contributions. Flexible benefits programme: bank holiday & holiday trading, extra birthday day off, cycletowork scheme, retail & gym discounts. Health and protection: private medical insurance, critical illness insurance, personal accident insurance. About NESO NESO operates the world's fastest decarbonising electricity system and works toward a carbon free supply for short periods within the year. Through independent, transparent decision making, NESO balances sustainability, affordability and security to secure Great Britain's energy future. Equal Opportunity NESO is an equal opportunity employer and welcomes applicants from all backgrounds. We are committed to building a diverse and inclusive workforce that reflects the communities we serve.
25/07/2026
Full time
About the Role As a Data Scientist on the Energy Insights & Analysis (EIA) team, you will be integral to managing data, maintaining and delivering models that support the UK's 2050 net zero emissions target. You will model the future energy mix, work closely with stakeholders and technology partners, and contribute to the continuous improvement of the EIA team. This role can be based in Wokingham, Warwick or Glasgow and offers hybrid working from office and home. Key Accountabilities Understand the needs of the business and develop solutions that support net zero targets. Engage with stakeholders at all levels to gather and understand requirements. Identify where existing models or processes need to adapt to reflect changing needs. Apply computer science, economics, statistics and data management skills to solve business problems. Collaborate with analysis teams and technology partners to deliver models, tools and process improvements. Mentor and guide others on model development and best practices (higher level). Drive coordinated change in modelling, quality assurance and technology deployment (higher level). Lead cross departmental projects, improving accuracy, transparency and turnaround time (higher level). About You Strong problem solving skills and ability to meet tight deadlines. Advanced programming skills in Python, Excel and SQL. Experience building and evaluating predictive models. Inquisitive mindset with ability to connect disparate pieces of information. Excellent interpersonal and communication skills. Experience influencing internal and external stakeholders at various levels. Team orientated, able to drive delivery with diverse groups. Project management and planning skills to meet activities, deliverables and deadlines. Experience with cloud platforms such as MS Azure or Palantir Foundry (desirable). Interest and background in energy decarbonisation (desirable). Right to Work Applicants must have the right to work in the UK by the start of employment. Visa sponsorship may not be available. What You'll Get Competitive salary of £61,000 - £72,000, depending on experience and capability. Performance based bonus. 26 days of annual leave. Contributory pension scheme with double company match up to 12% of your contribution. Annual enrollment to NESO Savings Plan with a 50% match on £20 £500 monthly contributions. Flexible benefits programme: bank holiday & holiday trading, extra birthday day off, cycletowork scheme, retail & gym discounts. Health and protection: private medical insurance, critical illness insurance, personal accident insurance. About NESO NESO operates the world's fastest decarbonising electricity system and works toward a carbon free supply for short periods within the year. Through independent, transparent decision making, NESO balances sustainability, affordability and security to secure Great Britain's energy future. Equal Opportunity NESO is an equal opportunity employer and welcomes applicants from all backgrounds. We are committed to building a diverse and inclusive workforce that reflects the communities we serve.