Top Data Science Jobs in London

As a Senior Lead AI Solutions Consultant at Braze, you will increase revenue by promoting the AI portfolio, leading demos, and educating stakeholders about AI solutions while fostering collaborative relationships with clients.

Lead product development of agentic merchandising optimisation: prototype and ship multi-agent systems, define trust and governance for agents on live experiences, productionize prototypes with safety/rollback/audit, partner across engineering, data science, experimentation and brand teams, and drive measurable conversion and revenue lift while preserving traveler trust.

Lead strategy and execution for Expedia's Room Shopping Experience, owning end-to-end product lifecycle. Translate traveler and data insights into requirements, run experiments (A/B tests), collaborate with design/engineering/analytics, and integrate AI/ML-driven personalization to improve conversion, engagement, and booking confidence across high-traffic, multi-brand shopping journeys.

Lead product vision and roadmap for fuel, fleet efficiency, energy management, or cost-intelligence products. Translate telematics and operational data into customer-facing features, run discovery with fleet stakeholders, prototype MVPs, and ship end-to-end experiences with engineering, design, and data science. Define metrics, build business cases, and drive experimentation and iteration.

Lead firmwide strategy to design and implement the Data Development Lifecycle (DDLC): define roles, reference architecture, toolchains, control frameworks, and delivery of platform changes. Partner with business, tech, risk, and architects to scale data products and AI use cases while ensuring governance, risk controls, and stakeholder alignment.

Lead the strategy and growth of the Data Practice at Capco, managing multidisciplinary teams and delivering high-impact analytics projects in Financial Services.

Lead the development of AI-enabled products within a consulting environment focused on financial services and energy, utilizing modern AI tools and methodologies.

Lead and mentor data science teams to design, develop, and deploy ML and AI solutions (including GenAI/LLMs). Align technical outcomes with business goals, drive MLOps and model governance, and deliver scalable production systems.

Lead and manage a team of data scientists to design, build and deploy predictive sports models. Oversee algorithm development (probability, Monte Carlo, ML), mentor staff, collaborate with engineers and product managers, and ensure continuous delivery and high-performance, production-ready model implementations across multiple sports.

The Sr Director Analyst will create high-quality research content on analytics and AI, providing strategic insights and advice to clients while engaging them through presentations and discussions. This role involves mentorship, innovation discussions, and requires deep industry knowledge and executive presence.

Develop, implement, and deploy statistical and machine learning sports models and pricing engines in Python; engineer sports data assets; build automated tests; collaborate with Trading, Product, Engineering, and QA; validate data flows and integrations; and mentor junior data scientists.

Own and execute the roadmap for a core document verification product area, improve verification accuracy and conversion, partner with Engineering, AI/ML, Design, Growth and Ops, use analytics and experimentation to validate hypotheses, and prioritise investments while ensuring regulatory and compliance alignment.

As a Senior Data Science Engineer, you'll lead data science projects, develop algorithms, analyze datasets, and mentor junior team members to enhance trading operations and strategies.

Lead product strategy and roadmap for Equity and Multi‑Asset indices and an in‑house AI tool. Gather user feedback, prioritise features, work with research developers to ship, run market analysis, engage clients, and partner with Sales and Marketing to drive positioning and revenue.

Lead the design, development, and operation of analytical and ML systems for financial services, ensuring model accuracy and compliance.

Surgo Health seeks a Senior Product Manager for AI and Data Products to define product strategy, lead product initiatives, and collaborate with cross-functional teams. The role emphasizes building AI-driven solutions in healthcare and requires strong product management skills with a technical background.

This role involves overseeing the product vision for IT & Cyber Risk, driving AI integration, collaborating on product delivery, and engaging with stakeholders to align product strategy with corporate goals.

As a Data Science Managing Consultant, you will lead business development, manage teams, and deliver data-driven solutions in the transport sector, while coaching junior staff and contributing to thought leadership.

The Account Executive is responsible for managing the sales cycle, building relationships with clients, collaborating with engineering, and representing the company at events.

The Senior Lead, Measurement Strategy will develop scalable measurement frameworks and define KPIs for Tesco Media, collaborating with Product, Data Science, and Proposition teams to enhance campaign measurement and insights.

The Senior Consulting Lead will provide strategic consulting on promotions for Tesco, engaging stakeholders, designing solutions, and delivering insights using data analytics.

Lead the AML Risk data science team to design, build, and deploy ML systems (unsupervised, semi-supervised, supervised, GenAI) for global AML detection. Hire and mentor specialists, develop detection controls, performance testing, decisioning layers, operational integrations, and maintain production-grade Python services and automated model pipelines.

Maintain and enhance marketing attribution models and data pipelines (dbt), ensure data integrity, build dashboards for stakeholders, run in-depth analyses, and translate results into strategic recommendations to improve marketing effectiveness.

Lead product strategy for payments optimisation, collaborate with engineering and data teams, drive commercial success, and deliver high-impact products.

As a Senior Machine Learning Engineer, you will develop ultra-realistic simulations for autonomous vehicles using foundation models, collaborate with teams, design experiments, and integrate models into applications.