Top Data Science Jobs in London

As the Director of Product Marketing, you will lead the strategy for positioning, pricing, and packaging products while managing a team and collaborating cross-functionally to increase user acquisition and engagement.

Design measurable, job-aligned Data and AI curricula using backward design and ADDIE. Validate and fix AI-assisted content, build high-touch human learning moments, prototype new modalities, use prompt engineering and AI tools to accelerate development, and influence stakeholders to improve programme impact.

Lead enterprise digital commerce strategy and execution to drive volume, revenue, share, and profit across online grocery, quick-commerce, and AFH platforms. Embed data, analytics, and AI into forecasting, pricing, assortment, and activation. Orchestrate company and bottler alignment, co-lead retail media investment, run test-and-learn pilots, and scale innovations while managing KPIs and platform economics.

Join Waymo to enhance AV simulations using deep learning. Collaborate globally, design metrics, train models, and hire diverse engineers.

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.

The Senior Product Owner (Data / AI) will be responsible for leading the development of data-driven product domains, collaborating with analytics and AI teams, defining product strategies, and ensuring the execution and delivery of data & AI product features.

As VP of Engineering and Data, you'll lead a growing engineering team, oversee AI initiatives, grow the data function, and ensure alignment with product and business outcomes.

The Senior/Staff Product Manager will drive strategy and execution for a marketplace, optimizing partner experience and enhancing scheduling processes through data-driven insights and cross-functional collaboration.

Lead and mentor a data science team building ML and LLM solutions for cybersecurity. Translate business needs into research and production ML objectives, prioritize roadmaps, collaborate cross-functionally, and drive technical vision, model development, and operationalization for malware detection and threat analysis.

Lead EMEA AI/ML product marketing: adapt global messaging to regional needs, align sales and product teams, create outcome-led customer stories, develop field enablement and campaign plays, track KPIs and usage to drive adoption and report impact to leadership.

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 enterprise sales to pharma and biotech customers, owning the full sales cycle from prospecting to close. Build and manage strategic pipelines, navigate complex multi-stakeholder deals, engage technical and executive buyers, translate product value, and collaborate with founders, product, science, and customer teams to grow long-term partnerships.

Provide legal advice to global digital and technology teams on contracts, compliance, AI, data and software matters. Draft and negotiate outsourcing, licensing, hosting, marketing and development agreements, supervise junior lawyers, develop legal policies, and deliver training. Support multi-jurisdictional issues and collaborate with external counsel as needed.

In this pre-sales role, you will leverage AI and NLP expertise to design solutions for clients, coordinate with teams, present customer proposals, and ensure successful project implementation.

The role involves guiding the Data Science team to develop search and recommendation systems, working with commercial teams to deliver user-focused products, and managing multiple projects related to data science implementation.

Lead technical direction and delivery of large-scale AI/ML platforms. Architect microservices and shared libraries, align ML, data science and DevOps, coach distributed engineers, define production readiness, and drive hiring and standards across software engineering.

Lead strategy and execution for eBay's conversion communications portfolio (email, push, in-app). Own roadmap, write PRDs, run A/B tests, partner with Engineering and Data Science, prioritize opportunities with data, manage cross-functional delivery, and optimize performance to drive revenue and engagement.

Lead Paid Social and Paid Search activation for Skechers EU, manage a central performance team, oversee campaign execution, measurement frameworks, and client communications, drive cross-channel planning and optimization, and ensure WPP Open tool delivery and activation excellence.

Own and prioritise the platform product backlog, work with remote engineering to refine stories and unblock delivery, shape roadmap with leadership, gather and validate requirements with stakeholders/customers, write user stories and acceptance criteria, and balance features, technical debt and operational stability while understanding APIs, data models and integrations.

As a Principal Machine Learning Engineer, you will design and develop scalable AI solutions, influencing company strategy and providing authoritative guidance on complex projects in the financial sector.

Provide technical leadership and architecture for defence-focused edge systems. Translate ambiguous customer problems into deliverable solutions for bids and delivery, ensure supplier assurance, assess hosting/integration options, manage technical risk, produce high-quality bid content, and support mobilisation and governance for consistent delivery.

As the Director of Data Science, you'll mentor teams, oversee projects, drive data-driven decisions, and implement AI and ML solutions while enhancing our data pipeline.

As a Product Manager, you will lead AI-first pods, drive product roadmaps, prioritize customer needs, and collaborate effectively across teams to deliver AI-powered solutions.

Lead and grow the UK data organisation (Data Science, ML Engineering, Analytics Engineering, Data Engineering). Set strategy, priorities, and operating model; partner with product, commercial, clinical and ops stakeholders; drive international platform migrations (Databricks/Redshift to GCP), support new market launches, provide technical and architectural leadership, and build a high-performing team.

Lead EMEA revenue strategy and execution across UK, DACH, Nordics and Benelux. Build and scale multi-segment sales organization (BDR to Enterprise), set GTM, forecasting and performance frameworks, drive enterprise deals and C-suite engagement, partner cross-functionally, develop leaders, and represent Anaconda externally to grow ARR and retention.