Data Science Jobs

Tenth Revolution Group · London · £80,000 pa

Leads analytical and data-focused delivery workstreams on large-scale transformation programmes, owning roadmaps and managing teams of analysts and engineers. Bridges business stakeholders and technical delivery, defining requirements, governance and best practices while shaping cloud-based data products using SQL, Python and platforms like Fabric, Databricks or Snowflake.

Tenth Revolution Group · London · £85,000 – £115,000 pa

Lead Databricks Architect-London (Hybrid)Databricks - Azure - Data & AI Leadership - Up to £115,000Are you looking to take ownership of large-scale Data & AI transformation programmes while leading teams and shaping technical delivery?Due to continued growth, we're hiring multiple...

Harnham - Data and Analytics Recruitment · London · £110,000 – £120,000 pa

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.

Palantir Technologies · New York, United States

Builds the front-end tooling and interfaces that let users construct data-intensive applications on Palantir Foundry, working in TypeScript, React and GQL with Blueprint components. Involves architecting state management and access patterns, owning APIs and schemas, and iterating with users and designers on complex UX. May include a Frontline rotation embedded with customers.

Databricks · London

Owns the core write-path operations for Delta Lake, the open-source storage layer behind the Databricks Lakehouse, driving performance innovations like Low Shuffle Merge and Deletion Vectors. The role involves low-level systems debugging, performance optimisation on large production clusters, architecture design, and technical leadership including mentoring and sprint planning. Distinct for its scale: millions of VMs, terabytes of logs and exabytes of data daily, with active open-source contribution.

Innova Solutions · London · £50 pa

Applies statistics and time-series analysis to mobile app telemetry, turning raw data into decision-ready insights and dashboards for leadership. Builds multi-page Streamlit dashboards and integrates API/SQL sources including Snowflake and OpenSearch, working end-to-end from data source to analysis to dashboard alongside QE, delivery and product teams.

Parkside · London · £100,000 – £150,000 pa

Hands-on role leading AI feature development in a legal tech SaaS platform, building ML models for document parsing, search, classification and summarisation. Involves integrating LLMs with guardrails, evaluation and monitoring, optimising inference on AWS, and building training data pipelines. Works in Scrum squads with engineering, product and QA.

Spencer Rose · Bristol · £450 – £480 pd

Designs, builds and deploys end-to-end AI/ML solutions for a banking client's Coach AI programme, including LLM-powered assistants, copilots and multi-agent agentic systems. The role covers ML pipelines, MLOps deployment, NLP, computer vision and voice AI, plus AI guardrails, responsible-AI governance and mentoring a team as senior lead.

Bowers Partnership · London · £825 pd

Hands-on VP-level data scientist building generative AI, LLM/NLP and statistical modelling products end to end for a boutique investment bank's M&A and advisory bankers. Works in a small team taking prototypes into production, writing production-quality Python and explaining models to senior non-technical stakeholders. M&A experience is essential.

NES Group Ltd · London

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.

NES Group Ltd · London

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.

VolkerWessels · Hertfordshire

Lead the data and analytics function for a major civil engineering and construction group, defining strategy and building a modern cloud data ecosystem. The role combines strategic leadership with hands-on technical authority across Microsoft Fabric, Databricks, Power BI, DAX, SQL and ETL pipelines, while establishing data governance and Master Data Management frameworks and developing a high-performing team.

Harnham - Data and Analytics Recruitment · London · £70,000 – £90,000 pa

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.

Isomorphic Labs · London

Research engineers translate frontier research concepts into practical implementations, building and optimising state-of-the-art AI models such as Transformers, GNNs and diffusion models, plus the codebases, data pipelines and infrastructure for training and evaluation. The role spans the full ML lifecycle from experimentation and benchmarking to production integration, working closely with research scientists in a cross-disciplinary drug design team.

Isomorphic Labs · London

Lead the hardening and scaling of an inference platform serving fleets of cutting-edge ML models for scientific applications. Architect next-generation inference services, solve core scaling limits, and set strategy and roadmaps while partnering with research, product and operations teams. Distinct for its focus on high-throughput GPU/TPU model serving within a biotech drug-discovery setting.