Data Science Jobs

Harnham - Data and Analytics Recruitment · London · £100,000 – £150,000 pa

Lead a data research function, defining strategy for sourcing and evaluating new datasets and assessing their quality, reliability and commercial value. Oversee statistical analysis, modelling and time series research, run end-to-end projects, and mentor a small team while driving adoption of AI and advanced analytics.

Harnham - Data and Analytics Recruitment · London · £180,000 pa

Lead enterprise data, technology, architecture and AI strategy across a data-led organisation, unifying Data & Analytics, Engineering, IT, Salesforce and Architecture into a single vision. Inherit a large multidisciplinary team, own governance and architecture standards, and drive AI adoption to unlock commercial value from existing platform investments.

Faculty · London

Lead end-to-end delivery of complex AI and data science projects for UK government national security clients, acting as a commercial and delivery lead. Bridge cutting-edge AI research and operational mission needs, build trusted relationships with government partners, and develop proposals and RFP responses to unlock new strategic AI use cases. Mentor multidisciplinary teams while supporting sector strategy and commercial growth.

Faculty · London

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.

Databricks · London

Enterprise sales role driving adoption of Lakebase, a fully-managed serverless Postgres service for operational and AI-native applications, within a defined MEA territory. Partners with regional Account Executives to run multi-threaded sales cycles, orchestrate POCs for OLTP and reverse ETL workloads, and compete against legacy and cloud-native databases. Also acts as a force multiplier, enabling field teams and shaping go-to-market plays with Product, Marketing and Partner teams.

Synthesia · New York, United States · US$200,000 – US$280,000 pa

Owns the full enterprise sales cycle for a 1k–20k employee territory, from cold outreach and pipeline generation to closing and expanding multi-threaded relationships. Uses MEDDPICC to qualify opportunities and manages all activity in Salesforce, reporting to the Director of Enterprise Sales.

Synthesia · London

This role focuses on translating Synthesia’s brand into global experiential environments, including trade shows, conferences, and customer events. The designer will lead end-to-end creation of physical and digital experiences, from concept to on-site execution, ensuring cohesive brand expression across spatial design, signage, digital content, and merchandise. Strong production discipline and cross-functional collaboration are central to the role.

Databricks · London

Embedded insights partner to the EMEA Marketing VP/GM, owning forecasting, target-setting and leading-indicator frameworks, plus standardized performance dashboards and QBR narratives. Also runs execution telemetry (cycle time, throughput, SLA) and designs and measures marketing pilots, working across Campaign Ops, Systems, Sales Ops and Finance.

M4 Partners · Stratford-upon-Avon

Hands-on product development role building and deploying machine learning and AI capabilities for an in-house AI platform, covering information extraction, classification, retrieval, summarisation and decision support. Focus on reliable structured JSON outputs, evaluation datasets, testing for accuracy, latency and cost, plus API integration with developers. Fully remote, outside IR35.

Gerrard White · Manchester · £28,000 – £32,000 pa

A graduate-level role analysing datasets to identify trends and support the development, testing and maintenance of statistical and predictive models. You'll use Python, SQL, SAS or PySpark and machine learning techniques, presenting findings to technical and non-technical audiences while collaborating across teams on varied projects.

University of Dundee · Dundee · £37,694 – £46,049 pa

Develop and apply AI, machine learning and Bayesian statistical models to longitudinal electronic health record, retinal imaging, genomic and proteomic data to predict health outcomes and biological ageing in people with diabetes. Work across clinical and computing groups, curating data in safe havens and validating prediction models, in collaboration with Eli Lilly.

Michael Page · Leeds · £40,000 – £48,000 pa

Analyse large datasets to uncover trends and build predictive models and algorithms that support strategic decisions in a financial services setting. Work within a collaborative analytics team, presenting findings to non-technical stakeholders and helping maintain data pipelines and infrastructure. Requires Python, R or SQL plus statistical and machine learning techniques, with GIS tooling also desirable.

ARM · Manchester

Day-to-day work centres on analysing and reconciling large finance datasets in SQL, investigating data quality issues across multiple systems, and defining business rules, mappings and acceptance criteria. The role also covers testing, validation and release support, producing analysis for technical and non-technical stakeholders while working with finance, risk, data and technology teams.

Tenth Revolution Group · Newcastle upon Tyne · £75,000 – £90,000 pa

Builds forecasting models and mines large structured and unstructured datasets to produce insights that shape commercial and strategic decisions. Designs automated data pipelines, reporting and self-service visualisation tools, working closely with both technical and business stakeholders. Python, SQL, statistics and machine learning are central, with Azure and Databricks listed as desirable.

Tenth Revolution Group · Newcastle upon Tyne · £90,000 – £110,000 pa

Builds forecasting models and applies statistical and machine learning techniques to large structured and unstructured datasets. Designs automated data pipelines, reporting and self-service visualisation tools, and works closely with business and technical stakeholders to turn analysis into commercial decisions. Azure and Databricks experience is desirable.