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 ❯
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 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 ❯
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 ❯
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 ❯
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 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 ❯
South West London, London, United Kingdom Hybrid / WFH Options
Experian Ltd
LeadDataScientist - Model Risk Management Company Description Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data … more at experianplc.com Job Description Our Experian Software Solution's Analytics Services Team supports analytic and generative AI products for decisioning, analytics, and fraud and identity globally. As a LeadDataScientist, you will use your coding expertise (Python, SAS), model risk management and Gen AI knowledge and experience, and analytic consulting skills to lead client … and internal engagements for Experian's new global product launch and early client success efforts. Responsibilities: Collaborate with Engineering and Data Science teams in the design and implementation of Machine Learning, Dashboarding, Ad Hoc Analysis and AI applications in a cloud-native big data platform. Partner with Leaders, Analytic Consultants, Engineers, Account Executives, Product Managers, and external partners More ❯
Our Experian Software Solution's Analytics Services Team supports analytic and generative AI products for decisioning, analytics, and fraud and identity globally. As a LeadDataScientist, you will use your coding expertise (Python, SAS), model risk management and Gen AI knowledge and experience, and analytic consulting skills to lead client and internal engagements for Experian … s new global product launch and early client success efforts. Responsibilities: Collaborate with Engineering and Data Science teams in the design and implementation of Machine Learning, Dashboarding, Ad Hoc Analysis and AI applications in a cloud-native big data platform. Partner with Leaders, Analytic Consultants, Engineers, Account Executives, Product Managers, and external partners to bring new innovative solutions … to market that provide impact to Experian's broad client base. Lead client analytic consulting engagements with financial services clients, including pre-sales and demos, training, and client success activities to maximize client value. Leverage Gen AI and model development tools to create and maintain new model document templates to help clients meet Model Risk Management regulatory requirements. Stay More ❯
DataLead Senior Data Engineer/Scientist Judge.me Role: DataLead Senior Data Engineer/Scientist Location: Remote with hybrid option (2 days in Shoreditch office near Old Street) Salary: £90-115k (includes comprehensive benefits package) Our Mission: Fixing Trust in Commerce For a decade, we've been on a mission … verified buyer reviews Organic Growth : We've achieved 40% year-over-year growth purely through word of mouth-no paid marketing or sales teams needed The Opportunity As our DataLead, you'll lead the development of our Trust Optimisation Platform-a critical initiative to unlock insights from our vast review dataset to help merchants improve their … e-commerce trust metrics. This role will build the data foundation that powers our next generation of merchant-facing products, directly supporting our mission to close the Trust Gap in e-commerce. What Makes This Role Special Massive Data Scale : Work with one of the largest e-commerce review datasets in the world Direct Business Impact : Build systems More ❯
A small and rapidly growing Consultancy are looking for a LeadDataScientist to join their growing 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 the client's environment. 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 be well More ❯
forward-thinking company to make moving 'miles better' and moving your career forward at the same time - we'd love to hear from you! We're after a Marketing DataScientist who doesn't just want to report on the past - you want to predict the future, enjoy the occasional polygon, and help outthink the competition. This isn … impact, like things measurable, and aren't scared off by a team that regularly uses memes in meetings - get in touch. Let's build the future of smart, scrappy, data-powered marketing together. What you'll be doing: Build world-class propensity models to predict customer behaviour and campaign impact, it's all very next best action orientated. Own … tech journey Real ownership, autonomy, and the tools to do the job right A crew that backs your thinking and values your skills Who you are: A marketing-savvy datascientist who understands the balance of science, storytelling and slightly unpredictable humans. Experienced working in fast paced tech scale ups focused on growth. Fluent in Python or R More ❯
LEADDATASCIENTIST - Insurance HYBRID - London £80,000 - £100,000 We are working with a household name in the UK insurance space on the search for a LeadData Scientist. They are looking for someone to help spearhead their Machine Learning Initiatives. In this role, you will have the opportunity to be either a technical … lead, or more of a people manager. RESPONSIBILITIES: Lead the end-to-end design, development, and implementation of ML/AI models Develop and deploy Large Language Models (LLMs) and/or internal chatbot systems. Collaborate with cross-functional teams to identify opportunities for leveraging data-driven insights. Mentor and develop a team of data scientists … fostering a collaborative and innovative work environment. Stay ahead of industry trends and emerging data technologies, bringing fresh perspectives and solutions to the organization. REQUIREMENTS: 4+ years in data science, with a strong preference for experience in the insurance or financial services sector. Experience working with LLMs and NLP frameworks such as Hugging Face or OpenAI is a More ❯
LEADDATASCIENTIST - Insurance HYBRID - London £80,000 - £100,000 We are working with a household name in the UK insurance space on the search for a LeadData Scientist. They are looking for someone to help spearhead their Machine Learning Initiatives. In this role, you will have the opportunity to be either a technical … lead, or more of a people manager. RESPONSIBILITIES: Lead the end-to-end design, development, and implementation of ML/AI models Develop and deploy Large Language Models (LLMs) and/or internal chatbot systems. Collaborate with cross-functional teams to identify opportunities for leveraging data-driven insights. Mentor and develop a team of data scientists … fostering a collaborative and innovative work environment. Stay ahead of industry trends and emerging data technologies, bringing fresh perspectives and solutions to the organization. REQUIREMENTS: 4+ years in data science, with a strong preference for experience in the insurance or financial services sector. Experience working with LLMs and NLP frameworks such as Hugging Face or OpenAI is a More ❯
technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary LeadDataScientistLeadDataScientist - Financial Crime Who is Mastercard? Mastercard is a global technology company in the payments industry. Our mission is to … connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our … building a sustainable world that unlocks priceless possibilities for all. Overview In the Financial Crime Solutions team at Mastercard, we build and deliver products and services powered by payments data to find and stop financial crime. We're an award winning team with a proven track record of combining data science technique with an intimate knowledge of payments More ❯
history of creating magical moments for our customers! We're not about selling products - we want to solve problems and change lives through Monzo ️ We're looking for a LeadDataScientist excited to help build the bank of the future. You'll have the opportunity to super charge our user engagement in 2025 and help us … people love and more than 80% of our growth comes from word of mouth and referrals. Enable Monzo to Make Better Decisions, Faster We have a strong culture of data-driven decision making across the whole company. And we're great believers in powerful, real-time analytics and empowerment of the wider business. All our data lives in … one place and is super easy to use. 90% of day-to-day data-driven decisions are covered by self-serve analytics through Looker which gives data scientists the head space to focus on more impactful business questions and analyses. How we hire We are excited to be expanding and are hiring for multiple roles across our DataMore ❯