Data Science Jobs in London

• London
• Hybrid
• Director · manages people
• Permanent

Lead Faculty's AI safety work for frontier labs, owning technical strategy across alignment, interpretability and robustness, and building a world-class R&D team. You'll design an AI safety R&D programme, oversee red-teaming and evaluations for clients like OpenAI and Anthropic, and represent the company with governments and at global events.

OpenAI · Anthropic · Metaview

• London
• Hybrid
• Mid-level
• Permanent

Owns end-to-end delivery of high-impact AI projects for clients in professional and financial services, acting as the link between customers and technical teams. Involves scoping, designing AI solutions, managing development, and building senior stakeholder relationships while spotting new commercial opportunities. Part-time hours are open for discussion.

Metaview

• London
• Hybrid
• £120,000 – £150,000 pa
• Director
• Permanent

Leads the integration of data science and analytics functions within a consumer business undergoing data transformation. Focuses on strategic direction, stakeholder influence, and delivery of measurable business impact through data-driven solutions. Redesigns reporting, drives self-serve analytics adoption, and scales a multidisciplinary team in a commercially driven environment.

• London
• Hybrid
• £70,000 – £80,000 pa
• Mid-level
• Permanent

Own end-to-end delivery across data pipelines, modelling and reporting, building Azure-based pipelines and a Databricks lakehouse platform. Integrate finance and HR data via APIs, own the semantic and Power BI reporting layers, and shape data standards as the team grows.

Azure · Databricks · Power BI +1

• London
• Hybrid
• Senior · manages people
• Permanent

Oversees a portfolio of Applied AI projects as the senior point of contact for clients and internal teams, managing delivery quality, commercial margins and scope. Combines hands-on delivery leadership with business development, writing proposals and growing accounts, while mentoring cross-functional teams and advising clients on AI strategy.

Metaview

• London
• Hybrid
• Senior
• Permanent

Lead the design, build and deployment of production-grade ML and software systems for clients in life sciences and other sectors. Work spans architectural decisions, scalable cloud infrastructure, container orchestration, and acting as a trusted technical advisor to customers while mentoring junior engineers.

AWS · Azure · GCP +2

• London
• Hybrid
• Junior
• Permanent

Scoping, building and delivering bespoke AI projects for pharmaceutical clients within a close-knit life sciences team. Involves managing work streams, conducting open-source analysis, translating operational requirements into user stories, and designing user-centric workflows alongside technical teams.

Metaview

• London
• Hybrid
• Mid-level
• Permanent

Build and scale AI-powered systems for government and public sector clients, owning the full stack from Python/FastAPI backends to TypeScript and React or Vue frontends. Work in cross-functional teams with data scientists and product managers, deploying to AWS, Azure or GCP with Docker and building data pipelines and cloud infrastructure. May require UK Security Clearance and occasional on-site work with government clients.

AWS · Azure · GCP +6

• London
• Hybrid
• Senior
• Permanent

Lead high-impact AI safety projects for Frontier Labs, inventing novel evaluation frameworks and designing robust software architectures. Mentor technical team members, partner with commercial teams on scoping, and advance the science of AI evaluations through research and public speaking. Combines hands-on Python data science with project leadership in a national security and AI safety unit.

NumPy · Pandas · Inspect AI +1

• London
• Hybrid
• £50,000 – £65,000 pa
• Mid-level
• Permanent

Join a growing data and analytics team where you'll deliver insight supporting data-driven marketing and commercial decisions. You'll build predictive models and machine learning techniques, prepare and cleanse data from multiple sources, and translate findings into clear stories for technical and non-technical audiences.

Python · R · SQL

• London
• Hybrid · 1 day in office
• £70,000 – £90,000 pa
• Senior
• Permanent

Owns pricing-focused data science, building predictive models of risk, customer behaviour and price sensitivity, and integrating new data sources to sharpen rates and tariffs. Uses simulation to estimate claim frequency and price responses, then translates findings into commercial recommendations for senior stakeholders. Hybrid role with at least one day a week in the London office.

• London
• Hybrid · 2–3 days in office
• £90,000 – £120,000 pa
• Senior
• Permanent

Build and lead multimodal AI applications spanning text, audio and video, including AI-generated avatars and automated content summarisation, within a growing AI team in a mature data function. The role involves translating business needs into scalable production AI products and collaborating with a multidisciplinary team, with technical leadership duties at Lead level.

• London
• Hybrid
• Lead · manages people
• Permanent

Lead the scientific direction and architectural rigour of upstream AI safety and evaluation standards, partnering directly with Frontier Labs. Design novel experiment frameworks, mentor data scientists, and translate complex challenges into rigorous scientific frameworks while guiding cross-functional teams.

NumPy · Pandas · Inspect AI +1

• London
• Hybrid
• £60,000 – £65,000 pa
• Senior

Lead client-facing analytics engagements, translating business challenges into analytical solutions and presenting insights to technical and non-technical audiences. Build SQL-based solutions and dashboards in Tableau or Looker, harmonising complex data sources while managing project timelines, risks and governance alongside data, engineering and consulting teams.

Tableau · Looker

• London
• Hybrid · 2–3 days in office
• £60,000 – £70,000 pa
• Mid-level
• Contract

Delivering customer insight across behaviour, segmentation, lifecycle, retention and customer value to support data-driven decisions in a large UK retail business. Hands-on analytical work using SQL, regression, clustering and predictive analytics, with strong exposure to senior stakeholders and influence over customer strategy.