Job Summary: Title: LeadDataScientist Location: UK - London (Remote) Division: Marketplace Contract Terms: Full Time Permanent THE TEAM You will be joining a new Data Engineering and Data Science team to help get the most value out of our real-time data streams with a focus on ensuring genuine fans have the best … opportunity to buy tickets. THE JOB We are seeking a highly skilled LeadDataScientist to join our team and play a critical hands on role in developing our data infrastructure and end-to-end deployment of machine learning insights. The ideal candidate will have a deep understanding of data science platforms and tools, as … well as experience designing and implementing machine learning pipelines. WHAT YOU WILL BE DOING Design, implement, and maintain machine learning pipelines in Databricks and AWS that enable real-time data-driven decision-making Work closely with the Director of Data Science and cross-functional teams to identify data requirements, define data and ML models, and develop More ❯
LeadDataScientist London Up to £95,000 + bonus + benefits Our Client We're helping a global ecommerce marketplace build out their Data & Analytics teams. With over 20,000 employees in 41 locations around the world, our client traverses a number of consumer industries. They are passionate about transforming the ecommerce sector by investing … their business; they aim to leave a positive impact on all stakeholders including employees, customers and partners, helping to build sustainable local communities on a global scale. The role Data Scientists are hands-on with building models that allow our client to hyper-personalise their customer experience. In addition this, at a leadership level, Data Scientists work as … internal consultants within the business, advising executive teams on all things concerning predictive analytics and machine learning. What a LeadDataScientist role will involve A hybrid role which is both hands-on with building models and involves consulting throughout the wider business, serving as the Data Science SME for the core customer-facing platform. Collaborating More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Harnham
LeadDataScientist Up to £100,000 London (Remote/Hybrid) Company: This is a pre-seed startup on a mission to rethink how content gets made. The media landscape is more competitive than ever, and the old ways of creating and testing content just don’t cut it anymore. They’re using data and AI … to shape stories that actually land with under-served audiences. Responsibilities: Work closely with the founder to translate visionary ideas into practical, data-driven experiments and models. Analyse audience behaviour data and build AI-driven tools (like synthetic test groups) to predict content success. Collaborate with product, creative, and tech teams to embed data insights into content … creation and decision-making. Identify data gaps and design tracking or instrumentation strategies to improve analytics capabilities. Stay hands-on with modelling and analysis while providing realistic guidance to keep projects focused and achievable. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Strong communication skills More ❯
LeadDataScientist Up to £100,000 London (Remote/Hybrid) Company: This is a pre-seed startup on a mission to rethink how content gets made. The media landscape is more competitive than ever, and the old ways of creating and testing content just don’t cut it anymore. They’re using data and AI … to shape stories that actually land with under-served audiences. Responsibilities: Work closely with the founder to translate visionary ideas into practical, data-driven experiments and models. Analyse audience behaviour data and build AI-driven tools (like synthetic test groups) to predict content success. Collaborate with product, creative, and tech teams to embed data insights into content … creation and decision-making. Identify data gaps and design tracking or instrumentation strategies to improve analytics capabilities. Stay hands-on with modelling and analysis while providing realistic guidance to keep projects focused and achievable. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Strong communication skills More ❯
Job Description We are looking to hire our next LeadDataScientist to drive actionable insights and shape our commercial strategy with applied data science. In this pivotal role, you will own end-to-end projects, manage competing priorities, and deliver high-impact solutions that enable faster and better decisions through clear storylines and robust analytics. … be based in Billund, Denmark or London, United Kingdom. Please note there is no relocation support for this position. Come join us! Core Responsibilities Drive end-to-end applied data science projects - from framing business problems and building models to delivering actionable insights that shape strategic decisions. Uncover commercial opportunities and risks by applying expert-level machine learning, statistical … modelling, and advanced data wrangling techniques. Craft compelling data visualisations and performance narratives that influence senior stakeholders and accelerate data-driven decision-making across global markets. Own and elevate key business processes, delivering a clear, consistent, and relevant narrative on business performance throughout the year through impactful post-event analyses and global performance reviews. Collaborate with global More ❯
eCommerce platform specialised in consumer goods and delivery. This business offers an extensive range of products including household essentials, medication, office supplies, groceries, and even fresh prepared food! The LeadDataScientist- Category Management, will develop decision support systems, analyse large datasets, and share insights to optimise category performance. You will collaborating with In-Stock Merchandising team … and will manage another Data Analyst to drive NPD, category decision-making, and analysis in product buying and inventory management. Key responsibilities of this LeadDataScientist – Category Management: Partner with the Data Team to measure and report on availability levels and their impact on revenue and order volumes. Collaborate with the Category and In … expirations across subcategories. Conduct in-depth analyses and post-implementation reviews to address challenges, uncover opportunities, and propose future experiments related to availability and expirations reporting. Key requirements of LeadDataScientist – Category Management: Ideally having 4-6 years of experience in analytics or data science, preferably in grocery, operations, marketing or consumer products. Open to More ❯
eCommerce platform specialised in consumer goods and delivery. This business offers an extensive range of products including household essentials, medication, office supplies, groceries, and even fresh prepared food! The LeadDataScientist- Category Management, will develop decision support systems, analyse large datasets, and share insights to optimise category performance. You will collaborating with In-Stock Merchandising team … and will manage another Data Analyst to drive NPD, category decision-making, and analysis in product buying and inventory management. Key responsibilities of this LeadDataScientist – Category Management: Partner with the Data Team to measure and report on availability levels and their impact on revenue and order volumes. Collaborate with the Category and In … expirations across subcategories. Conduct in-depth analyses and post-implementation reviews to address challenges, uncover opportunities, and propose future experiments related to availability and expirations reporting. Key requirements of LeadDataScientist – Category Management: Ideally having 4-6 years of experience in analytics or data science, preferably in grocery, operations, marketing or consumer products. Open to More ❯
eCommerce platform specialised in consumer goods and delivery. This business offers an extensive range of products including household essentials, medication, office supplies, groceries, and even fresh prepared food! The LeadDataScientist- Category Management, will develop decision support systems, analyse large datasets, and share insights to optimise category performance. You will collaborating with In-Stock Merchandising team … and will manage another Data Analyst to drive NPD, category decision-making, and analysis in product buying and inventory management. Key responsibilities of this LeadDataScientist - Category Management : Partner with the Data Team to measure and report on availability levels and their impact on revenue and order volumes. Collaborate with the Category and In … expirations across subcategories. Conduct in-depth analyses and post-implementation reviews to address challenges, uncover opportunities, and propose future experiments related to availability and expirations reporting. Key requirements of LeadDataScientist - Category Management : Ideally having 4-6 years of experience in analytics or data science, preferably in grocery, operations, marketing or consumer products. Open to More ❯
LeadDataScientist Surrey office, x1 day every two weeks. A well-established, product-led business is looking for a LeadDataScientist to spearhead innovation and drive measurable value through advanced machine learning, experimentation, and the development of production-grade models. Sitting within a cross-functional data team, this is a hands … the autonomy to shape the modelling roadmap, contribute to R&D strategy, and influence pricing and risk decisions across multiple business lines. You’ll manage a small team of data scientists, guiding them through delivery while remaining actively involved in technical implementation and experimentation. This is a unique opportunity for someone passionate about building machine learning systems that go … beyond prototypes — models that deliver real-world commercial outcomes in a data-rich, regulated environment. Key Responsibilities Lead a high-performing team of data scientists to deliver cross-functional, impactful AI/ML initiatives Design and implement predictive models and machine learning solutions for core business areas Build and productionise models in collaboration with data engineers More ❯
LeadDataScientist Surrey office, x1 day every two weeks. A well-established, product-led business is looking for a LeadDataScientist to spearhead innovation and drive measurable value through advanced machine learning, experimentation, and the development of production-grade models. Sitting within a cross-functional data team, this is a hands … the autonomy to shape the modelling roadmap, contribute to R&D strategy, and influence pricing and risk decisions across multiple business lines. You’ll manage a small team of data scientists, guiding them through delivery while remaining actively involved in technical implementation and experimentation. This is a unique opportunity for someone passionate about building machine learning systems that go … beyond prototypes — models that deliver real-world commercial outcomes in a data-rich, regulated environment. Key Responsibilities Lead a high-performing team of data scientists to deliver cross-functional, impactful AI/ML initiatives Design and implement predictive models and machine learning solutions for core business areas Build and productionise models in collaboration with data engineers More ❯
LeadDataScientist London – Hybrid (3 days a week) £90,000 - £115,000 + Benefits Our client is a precision marketing agency, leveraging data, technology, and creativity to fuel client growth. As part of their Marketing Sciences Data Science Team, you’ll play a pivotal role in revolutionising marketing strategies through cutting-edge Data Science and Machine Learning solutions. This is still a largely hands on role, with around 20% team leadership. What You’ll Do Oversee data science projects, guide junior team members, and drive innovation. Build predictive models for campaign optimisation, customer segmentation, and price elasticity. Design and implement AI-powered solutions to solve complex marketing challenges. Use machine learning … in tools like Jupyter notebooks, Pandas, and PyTorch. Expertise in cloud platforms (AWS, Databricks, Snowflake) and containerisation tools (Docker, Kubernetes). Strong leadership skills with experience mentoring and managing data science teams. Deep knowledge of media measurement techniques, such as media mix modelling. Experience with advanced AI techniques, including NLP, GenAI, and CausalAI. Familiarity with MLFlow, API design (FastAPI More ❯
LeadDataScientist London – Hybrid (3 days a week) £90,000 - £115,000 + Benefits Our client is a precision marketing agency, leveraging data, technology, and creativity to fuel client growth. As part of their Marketing Sciences Data Science Team, you’ll play a pivotal role in revolutionising marketing strategies through cutting-edge Data Science and Machine Learning solutions. This is still a largely hands on role, with around 20% team leadership. What You’ll Do Oversee data science projects, guide junior team members, and drive innovation. Build predictive models for campaign optimisation, customer segmentation, and price elasticity. Design and implement AI-powered solutions to solve complex marketing challenges. Use machine learning … in tools like Jupyter notebooks, Pandas, and PyTorch. Expertise in cloud platforms (AWS, Databricks, Snowflake) and containerisation tools (Docker, Kubernetes). Strong leadership skills with experience mentoring and managing data science teams. Deep knowledge of media measurement techniques, such as media mix modelling. Experience with advanced AI techniques, including NLP, GenAI, and CausalAI. Familiarity with MLFlow, API design (FastAPI More ❯
A leading multinational retailer is seeking a LeadDataScientist to join their office in Central London. Your role will be to help shape and expand a highly analytical team of Data Scientists that are focused on delivering a better understanding and insight of the business based on data. The core work involves integrating and analysing … the business and external data sources, building models that learn from these data, and providing tools that allow the business to make decisions from these models. This is a key role within the business and you will be responsible for: - Managing a team of Data Scientists - Setting the strategy and direction the team should take - Translate ambiguous … business challenges into data science problems and applications - Communicate complex solutions in a clear, understandable way to non-experts - Promote Data Science across the business Company: ISL (Rec.) Qualifications: To be considered for this LeadDataScientist role you will need to have: - A Masters or PhD in a relevant discipline such as Computer Science More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Harnham
LeadDataScientist Up to £90,000 London (Remote/Hybrid) Company: Join a global financial platform offering fast, secure, and affordable money transfers, multi-currency wallets, and essential banking services worldwide, all within one app. You’ll be responsible for designing, building, and optimising credit and risk scoring models that drive key financial decisions across global … markets. Responsibilities: Lead the development and maintenance of credit risk and affordability models using bureau, open banking, and alternative behavioural data. Own end-to-end model lifecycle: data sourcing, feature engineering, model development, validation, and monitoring. Design and execute champion/challenger tests and A/B experiments to continuously improve approval rates, loss rates, and customer experience … Analyse credit performance data to generate actionable insight and support strategic decisions Mentor and develop a small team of analysts/data scientists as the team scales Work closely with Data Engineering to deploy models into production pipelines. Collaborate with stakeholders to define modelling goals and interpret model outcomes in a business context. Requirements: MSc or PhD More ❯
London, England, United Kingdom Hybrid / WFH Options
Harnham
LeadDataScientist Up to £90,000 London (Remote/Hybrid) Company: Join a global financial platform offering fast, secure, and affordable money transfers, multi-currency wallets, and essential banking services worldwide, all within one app. You'll be responsible for designing, building, and optimising credit and risk scoring models that drive key financial decisions across global … markets. Responsibilities: Lead the development and maintenance of credit risk and affordability models using bureau, open banking, and alternative behavioural data. Own end-to-end model lifecycle: data sourcing, feature engineering, model development, validation, and monitoring. Design and execute champion/challenger tests and A/B experiments to continuously improve approval rates, loss rates, and customer experience … Analyse credit performance data to generate actionable insight and support strategic decisions Mentor and develop a small team of analysts/data scientists as the team scales Work closely with Data Engineering to deploy models into production pipelines. Collaborate with stakeholders to define modelling goals and interpret model outcomes in a business context. Requirements: MSc or PhD More ❯
Nottingham, Nottinghamshire, United Kingdom Hybrid / WFH Options
Tate
LeadDataScientist Location: Flexible/Hybrid Contract Type: Permanent Salary: 50k-60k Monday to Friday core office hours We are recruiting a LeadDataScientist on behalf of a fast-growing financial services organisation. This is an opportunity to join a forward-thinking team focused on driving innovation across the full customer lifecycle … using advanced data science and machine learning techniques. About the Role: As a LeadDataScientist, you will play a pivotal role in developing and enhancing data-driven solutions across fraud prevention, marketing strategy, credit risk, and customer management. You'll have the opportunity to shape the direction of data science initiatives and work … a highly skilled team to implement autonomous decision frameworks, predictive modelling, and advanced analytics. Key Responsibilities: Own and develop predictive models to improve customer outcomes across multiple business domains. Lead model deployment and policy setting to enhance autonomous decisioning. Design and implement test-and-learn strategies that influence key business decisions. Deliver actionable insights through structured analysis and clear More ❯
Lead/Principal DataScientist Up to £180,000 London (Hybrid, 4 days onsite per week) Company: Join one of the world’s leading private equity firms, with a strong global presence and have partnered with hundreds of businesses across a wide range of sectors to support long-term growth and transformation. They combine deep industry expertise … a hands-on, collaborative approach, making it a dynamic environment for ambitious professionals looking to make a real impact. Responsibilities: Support the investment and deal teams by delivering deep, data-driven insights into potential acquisition targets. Lead a high-performing, diverse data team, fostering a collaborative, innovative environment with strong mentoring and career development. Responsible for evaluating … informing high-stakes decisions on multi-million (and often billion)-pound deals. Collaborate with internal teams to deliver commercial and operational due diligence Be at the forefront of identifying data-led value creation strategies across the private equity lifecycle. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python More ❯
Lead/Principal DataScientist Up to £180,000 London (Hybrid, 4 days onsite per week) Company: Join one of the world’s leading private equity firms, with a strong global presence and have partnered with hundreds of businesses across a wide range of sectors to support long-term growth and transformation. They combine deep industry expertise … a hands-on, collaborative approach, making it a dynamic environment for ambitious professionals looking to make a real impact. Responsibilities: Support the investment and deal teams by delivering deep, data-driven insights into potential acquisition targets. Lead a high-performing, diverse data team, fostering a collaborative, innovative environment with strong mentoring and career development. Responsible for evaluating … informing high-stakes decisions on multi-million (and often billion)-pound deals. Collaborate with internal teams to deliver commercial and operational due diligence Be at the forefront of identifying data-led value creation strategies across the private equity lifecycle. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python More ❯
A small and rapidly growing Consultancy are looking for a LeadDataScientist to join their expanding team - this is a hybrid role, requiring around 2-3 days per week either in the office or on client site, depending on requirements. Many of their clients are in the Public Sector, meaning you must be eligible for SC … Clearance in order to apply for this role. In this role, you will lead on client projects and provide them with subject matter expertise - you'll proactively identify opportunities for data science to be used to help solve their unique challenges, and will action this appropriately. This will involve working with varied data sources, and designing and … implementing various data science and machine learning techniques and algorithms, both on-premises and on the cloud, depending on what's best for each particular client. You'll communicate your findings and insight to the client, getting involved in presentations to uncover the "story" the data is telling, and therefore what action can be taken. This role would More ❯
A small and rapidly growing Consultancy are looking for a LeadDataScientist to join their expanding team - this is a hybrid role, requiring around 2-3 days per week either in the office or on client site, depending on requirements. Many of their clients are in the Public Sector, meaning you must be eligible for SC … Clearance in order to apply for this role. In this role, you will lead on client projects and provide them with subject matter expertise - you'll proactively identify opportunities for data science to be used to help solve their unique challenges, and will action this appropriately. This will involve working with varied data sources, and designing and … implementing various data science and machine learning techniques and algorithms, both on-premises and on the cloud, depending on what's best for each particular client. You'll communicate your findings and insight to the client, getting involved in presentations to uncover the "story" the data is telling, and therefore what action can be taken. This role would More ❯
talented individuals whose principles and interests align with our own. While we don't have a specific vacancy open at the moment, by registering your interest for the Senior DataScientist Talent Pool, you'll be among the first to hear about job openings in our Frontier Team that align with your experience when they go live. What … you'll be doing: As a LeadDataScientist within Frontier, you will lead the data science work on project teams that are configuring our product Frontier for our customers. Each deployment of Frontier requires a computational twin, essentially an AI-powered digital twin, to be built, and it is primarily the responsibility of our … data scientists to both design and then build these computational twins. Whilst doing this well is partly about building familiarity with Frontier's development interfaces, it's mainly about doing things that are critical in any applied data science role; namely deeply understanding the core customer problem in order to ensure that the technical solution can drive value. More ❯
LeadDataScientist Hybrid - London (3 days a week) Up to £80,000 We are working with ahousehold fashion brand. They are on the lookout for a Principal DataScientist to join its growing Data & Analytics team. With a presence across a thriving eCommerce platform, mobile app, and 300+ retail stores, this is your … chance to join an exciting team. As Principal DataScientist, you’ll lead the data science function, supporting customer understanding, marketing effectiveness, and personalisation. From optimising campaign performance to driving loyalty and segmentation strategies, you’ll help put data at the heart of every customer interaction. The Role: Lead, mentor, and grow a team … of Data Scientists and Analysts focused on customer and marketing use cases. Build and deploy models that support personalisation, customer segmentation, lifetime value prediction, churn prevention, and marketing attribution. Partner closely with CRM, Digital Marketing, and eCommerce teams to deliver data-driven improvements across the customer journey. Leverage advanced analytics to understand customer behaviour and optimise marketing spend More ❯
LeadDataScientist Hybrid - London (3 days a week) Up to £80,000 We are working with ahousehold fashion brand. They are on the lookout for a Principal DataScientist to join its growing Data & Analytics team. With a presence across a thriving eCommerce platform, mobile app, and 300+ retail stores, this is your … chance to join an exciting team. As Principal DataScientist, you’ll lead the data science function, supporting customer understanding, marketing effectiveness, and personalisation. From optimising campaign performance to driving loyalty and segmentation strategies, you’ll help put data at the heart of every customer interaction. The Role: Lead, mentor, and grow a team … of Data Scientists and Analysts focused on customer and marketing use cases. Build and deploy models that support personalisation, customer segmentation, lifetime value prediction, churn prevention, and marketing attribution. Partner closely with CRM, Digital Marketing, and eCommerce teams to deliver data-driven improvements across the customer journey. Leverage advanced analytics to understand customer behaviour and optimise marketing spend More ❯
LeadDataScientist Hybrid - London 1 day per week Up to £85,000 About the Role We are working with a high-growth performance marketing and technology company who are looking for a new LeadDataScientist to join the team. You'll be working at the intersection of data, technology, and marketing … you’ll lead the delivery of cutting-edge machine learning, optimisation, and analytics solutions that drive measurable business outcomes. Reporting directly to the Director of Data, you’ll take ownership of high-impact projects across areas such as customer lifetime value, predictive modelling, bidding optimisation, and experimentation, whilst also acting as a datalead for major … clients. Initially hands-on, this role will evolve into a more strategic leadership position, with team management responsibilities (starting with three Data Scientists, growing to five within a year) expected within the first six months. Key Responsibilities Lead and deliver data science solutions across predictive modelling, optimisation, and experimentation. Act as a strategic data partner to More ❯
LeadDataScientist Hybrid - London 1 day per week Up to £85,000 About the Role We are working with a high-growth performance marketing and technology company who are looking for a new LeadDataScientist to join the team. You'll be working at the intersection of data, technology, and marketing … you’ll lead the delivery of cutting-edge machine learning, optimisation, and analytics solutions that drive measurable business outcomes. Reporting directly to the Director of Data, you’ll take ownership of high-impact projects across areas such as customer lifetime value, predictive modelling, bidding optimisation, and experimentation, whilst also acting as a datalead for major … clients. Initially hands-on, this role will evolve into a more strategic leadership position, with team management responsibilities (starting with three Data Scientists, growing to five within a year) expected within the first six months. Key Responsibilities Lead and deliver data science solutions across predictive modelling, optimisation, and experimentation. Act as a strategic data partner to More ❯
