Data Science Jobs

• Birmingham
• Hybrid · 1 day in office
• £85,000 – £95,000 pa
• Director · manages people
• Contract

Lead enterprise-wide data and analytics capability on a 12-month fixed term contract, owning the data strategy, governance framework, architecture roadmap and BI services. The role chairs governance forums, oversees cloud data platforms and analytics, and manages a data function while reporting to executive teams. One day per week is required onsite in Birmingham.

AI · Machine Learning · Cloud Data Services +3

• London
• Hybrid · 1 day in office
• £40,000 – £45,000 pa
• Mid-level

Builds and maintains Power BI dashboards and reporting solutions, integrating and formatting data sources and creating new connections. Works closely with stakeholders to gather reporting requirements, ensure data accuracy, and support ad hoc insight requests. Also trains business users and looks for ways to improve reporting processes and BI adoption.

Power BI · Microsoft Excel · SQL

• London
• Hybrid · 3 days in office
• £100,000 – £120,000 pa
• Director · manages people

Lead the analytics, insights and AI strategy for a major insurance claims function, acting as the strategic link between business objectives and analytics delivery. You'll partner with Claims leadership on the analytics and AI roadmap, evolve reporting towards predictive and prescriptive analytics, and lead a team of analytics professionals while championing data governance and responsible AI.

• Birmingham
• Hybrid
• Mid-level
• Permanent

Analyses workforce deployment, labour cost and productivity data to produce actionable insights for operational decision-making. Builds dashboards and reports using SQL and BI tools, validates calculations and reconciles anomalies within a Labour Intelligence team. Works with product leadership and operational stakeholders to improve reporting efficiency and reuse of trusted analytics.

SQL

• Bradford
• On-site
• £40,000 – £50,000 pa

Hands-on role spanning the full data lifecycle, from collecting, cleansing and transforming datasets to advanced analysis and predictive modelling. You'll build data pipelines, models and analytical frameworks supporting AI and machine learning initiatives, and present findings to technical and non-technical stakeholders. Based on-site in Bradford, with scope to mentor learners and junior team members.

Python · SQL

• Johor - Malaysia
• Senior
• Contract

Provide academic leadership in teaching and research within a business school, delivering learning across undergraduate and postgraduate programmes. Lead research aligned with the campus research strategy, publish in reputable journals, develop collaborations with UK and regional universities, supervise students and contribute to curriculum development. Also supports research funding bids and innovative teaching practices.

• London
• Hybrid
• Senior

Turns performance data and commercial analytics into executive narratives and prioritised actions for Tesco Media. Owns weekly, monthly and quarterly business review stories, defines critical business questions and briefs analytical work across BI, Finance, Sales Operations and Product teams. Requires strong commercial acumen and insight storytelling for senior stakeholders.

Looker

• 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
• 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
• £80,000 – £85,000 pa

Evaluate LLM and RAG outputs for accuracy, groundedness, hallucinations and relevance, building evaluation datasets, scoring frameworks and KPIs. Use SQL and Python to investigate product behaviour, design experiments and measure the impact of model and retrieval changes, working with AI Engineers and Product Managers to turn findings into product improvements.

LLM · RAG · Generative AI

• London
• Remote
• Lead
• Permanent

A principal-level individual contributor role driving deep, self-directed investigations into user behaviour across acquisition, activation, usage and the wider customer journey. The work spans causal and statistical analysis, churn and other models, unstructured and AI-specific data, and opportunity sizing, with findings feeding experiments, roadmap and strategy. Distinct for its proactive, no-brief mandate and close partnership with Product, Engineering, Growth and commercial teams.

• London
• Mid-level

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.

Genie · Databricks · Lakebase +4

• Dundee
• £37,694 – £46,049 pa
• Contract

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.

Python · SQL · R +2

• Slough
• Hybrid · 2–3 days in office
• £330 – £360 pd
• Junior
• Contract

Hands-on role building, validating and optimising basic models and data pipelines across the data science lifecycle, from exploratory analysis to cloud-based automation of decision-making. Work spans churn reduction, customer lifetime value, stock management and marketing effectiveness, collaborating in a data science team and with stakeholders in the telecoms sector.

scikit-learn · PySpark

• Manchester
• Mid-level

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.

Power BI · Tableau · Looker +1