Data Science Jobs in London

• London
• Hybrid · 3 days in office
• Lead

Lead medicinal chemistry strategy across drug discovery programmes, from hit identification through lead optimisation to candidate nomination, while working hands-on as an individual contributor. Partner closely with AI/ML platform teams to refine predictive models and manage CRO resources, mentoring junior colleagues in a hybrid London team.

AlphaFold

• London
• Hybrid · 3 days in office
• Lead

Design and evolve a large-scale ML infrastructure platform that supports distributed training and inference workloads, working closely with research, engineering and product teams. The role also explores deploying agents to improve platform robustness and reliability, in a hybrid London setting.

Kubernetes · Google Cloud Platform · GCP

• London

Embed with strategic enterprise customers to design, build and productionise custom fullstack data and AI applications on the Databricks platform. You own architecture and end-to-end delivery spanning data engineering, ML/AI integration and user-facing interfaces, partnering with Sales, Product and Field Engineering. Travel to client sites up to 50%.

Databricks · OpenAI · Anthropic +7

• London
• Remote
• Director

Owns the EMEA go-to-market strategy for Databricks' Financial Services vertical, spanning Banking/Payments, Capital Markets and Insurance. Sets vision, builds field sales assets and account/segment-level plans, cultivates C-level customer and partner relationships, and works cross-functionally with sales, pre-sales, marketing and enablement. Requires travel and reports to the VP of Financial Services, Cyber Security and Sustainability GTM.

Databricks · Data + AI Platform · Genie +5

• London
• Hybrid
• Lead

Leads high-priority strategic projects and analytical work for Tesco Media, turning complex business questions into insights, recommendations and executable plans. Partners with the Strategy Director and cross-functional teams on growth, productivity, AI and automation, proposition development and operating-model evolution, from discovery through implementation.

• London
• Hybrid
• Lead

Sits within the Insight Enablement function of the Tesco Insights team, shaping enablement strategy and transformation initiatives so client-facing teams can maximise the impact of products, tools and propositions. Defines frameworks, connects stakeholder needs with product developments, and champions adoption of AI and emerging technologies to improve efficiency and client outcomes.

• London
• Senior
• Permanent

Partner with account sales teams and channel partners to understand customer needs, strategize evaluations, and help prospects choose the platform. Deliver executive and technical presentations, run demos, proofs of concept, and implementations, while building technical champions to drive deals. Collaborate with product, engineering, marketing, and partners on account plans and joint architectures.

Snowflake · dbt · Spark +3

• London
• Hybrid
• Mid-level
• Permanent

Delivers bespoke production-grade machine learning systems for government and national security clients, covering the full ML lifecycle from scoping and architecture to deployment. Works with Python, Scikit-learn, TensorFlow or PyTorch, plus cloud platforms and Docker/Kubernetes, acting as a technical advisor to stakeholders.

Scikit-learn · TensorFlow · PyTorch +5

• London
• Hybrid
• Senior
• Permanent

Lead high-impact AI projects for retail and consumer clients, defining data science approaches, designing software architectures, and mentoring colleagues. Own the technical side of client relationships, scope projects, and embed responsible AI practices while building production-grade systems in Python.

Metaview

• London
• £68,087 pa
• Permanent

Contribute to research and teaching in data science and statistics within an established department, with expertise sought in statistics, machine learning or data science. The role expects a strong publication trajectory and a viable future research strategy, with collaboration encouraged across the School's institutes.

• London
• Hybrid · 2–3 days in office
• £260 – £290 pd
• Mid-level
• Contract

Two Data Analysts are sought to support analytical and reporting initiatives in a payments, banking or fintech context. Day to day involves backbook segmentation, customer analytics, propensity and predictive modelling, performance reporting, and building and automating dashboards and MI. The role requires strong SQL and Power BI or Tableau skills, working with large datasets and stakeholders to turn business requirements into analytical solutions.

Power BI · Tableau

• London
• Senior
• Contract

Builds ML and graph-based identity resolution where rule-based matching falls short, improving customer-spine architecture and reducing identity drift. Defines matching-quality metrics, supports golden-layer integration and delivers a reusable identity-resolution framework. Requires entity resolution, fuzzy matching, MLOps and feature-store experience plus Customer Master/MDM background.

• London
• Lead

Leads customer analytics across multiple markets, building CLV, RFM segmentation, incrementality measurement and value frameworks that give leadership defensible commercial insight. Partners with Finance to reconcile customer, transaction and margin data, and builds scalable pipelines in Databricks, Spark and Python with strong validation and audit practices.

Databricks · Spark · PySpark +4

• London
• Mid-level
• Permanent

Hands-on data science role focused on Amazon's Rufus conversational shopping assistant, analysing multimodal datasets and building ML models for NLP, retrieval and recommender systems. Responsibilities span A/B test design, causal inference, metric and dashboard development, and translating insights into production systems with scientists and engineers.

Large Language Models · Knowledge Graphs · ETL

• London
• Hybrid · 2 days in office
• £43,000 – £48,000 pa
• Mid-level
• Permanent

Provides trial design and statistical analysis for an expanding Clinical Trials Unit portfolio, plus statistical support for four national clinical audits covering over 500 providers and 4 million electronic health records. Works within a multidisciplinary team of statisticians, data scientists and epidemiologists on clinical trials, health services research informing NHS policy, and methodological and data science work.