Data Science Jobs

• 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 · 2–3 days in office
• £120,000 – £150,000 pa
• Director · manages people
• Permanent

Lead the integration of data science and analytics into a single function, owning strategy and execution for a major consumer business. Responsibilities span self-serve analytics adoption, reporting and dashboard redesign, productionising data science solutions, and building a multidisciplinary team while influencing CIO and COO-level stakeholders.

• Sheffield
• Hybrid
• £32,080 pa
• Entry level
• Contract · Part time

Builds and evaluates machine learning models that predict Strep A outbreak risk from multiple real-world datasets, turning them into early-warning signals. Works closely with clinicians and an engineering team so the analysis feeds into a practical public health tool. Combines health data, time series and mathematical modelling in a cross-disciplinary research setting.

• Manchester
• Hybrid
• £48,337 – £59,390 pa
• Mid-level
• Contract

Develops and applies machine-learning and AI methods to protein engineering and enzyme design, analysing complex biological and chemical datasets and building predictive models and computational tools. Works within an interdisciplinary group spanning the Manchester Institute of Biotechnology and Department of Chemistry, providing ML expertise, training and support to computational and experimental colleagues.

• Oxford
• £40,178 – £48,700 pa
• Entry level
• Contract

Develop and validate multimodal machine-learning models integrating electronic health records, laboratory, molecular, imaging and digital pathology data from large-scale NHS sources. Build reproducible pipelines for heterogeneous longitudinal data within secure environments, working with clinicians, pathologists and engineers on disease progression and treatment response prediction.

NHS Data · Electronic Health Records · Secure Data Environment +2

• Oxford
• On-site
• £39,424 – £47,779 pa
• Entry level
• Contract

Develop novel statistical and machine learning methods for large-scale genomic, phenotypic and health data, working with Professor Pier Palamara in the Palamara Group. Research spans genomic language models, multimodal and federated learning, and multi-trait/multi-ancestry methods applied to biobank-scale datasets for association testing, fine-mapping and polygenic prediction. The role also involves building reproducible research software, publishing, and guiding junior researchers.

• London
• Mid-level

Lead and contribute to interdisciplinary research on how frontier AI systems influence human decisions, designing large-scale studies, RCTs, and model evaluations. The role spans computational social science, AI safety, and machine learning, with opportunities to publish, set research agendas, and engage policymakers and frontier labs.

Claude Code · Codex

• 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.

• Sheffield
• Hybrid
• £39,560 – £41,885 pa
• Entry level
• Contract

Develops explainable machine learning models, including symbolic regression, Bayesian optimisation and genetic algorithms, to decode polymer-solvent thermodynamics and soft-matter physics. Involves featurizing complex polymer architectures, analysing multi-modal experimental datasets, and building open-source cheminformatics tools in Python/Julia for sustainable inverse formulation design.

Python · Julia · C++ +1

• Exeter
• Entry level
• Contract

A PhD studentship developing neural networks within the MaLCOM machine learning framework to move mixed layer depth prediction from a statistical baseline to temporally resolved hourly forecasts. The researcher selects geographic test sites, temporal scales and oceanographic variables, using high-resolution in-situ and Earth observation data, with training in Python, AI and operational forecasting across Exeter, PML and the Met Office.

MaLCOM

• Exeter
• Entry level
• Contract

Investigates whether repeat photography, citizen science and machine learning can robustly monitor ecological change in intertidal habitats, tackling variability in viewpoint, lighting, tide and season. Combines field data collection, statistical analysis and image-based AI, validated against the MarClim 25-year time series across 100 UK sites, with scope to shape emphasis as interests evolve.

MarClim

• Milton Keynes
• Hybrid
• £40,000 – £45,000 pa
• Mid-level

Designs, builds and owns enterprise BI solutions on Microsoft Fabric and Power BI, including semantic models, advanced DAX and paginated reports. Leads the migration of a legacy SSRS estate to Power BI and handles governance, security and Fabric capacity management within a six-person reporting team.

Power BI · Microsoft Fabric · DAX Studio +7

• London
• Hybrid · 1 day in office
• Senior · manages people
• Permanent

Lead a multidisciplinary engineering team building dominAI, an AI-powered defence product, line-managing AI/ML, simulation, infrastructure and web engineers while staying hands-on in TypeScript, React and Node. Own delivery end-to-end, hiring and people development, partnering with Product and technical leads. Hybrid, one day a week in Shoreditch.

TypeScript · React · Node