Data Science Jobs

• London
• £90,000 – £120,000 pa

This role involves analyzing complex sports datasets to develop and refine quantitative models that inform trading strategies. You'll apply statistical techniques and probability to identify patterns in sports data, working closely with analysts, developers, and traders. The position emphasizes model validation, performance assessment, and clear communication of findings in a fast-paced, data-driven environment.

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

Lead delivery of Work Packages on a Wellcome Trust grant, managing academic research and administrative activities with small-scale project management. Develop research methodologies, analyse quantitative data, and lead the project's code and data-sharing strategy using GitHub and Docker/Singularity. Based in the Centre for Eudaimonia and Human Flourishing.

GitHub · Docker · Singularity

• Manchester
• Hybrid
• £28,000 – £32,000 pa
• Entry level
• Permanent

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.

Python · SQL · SAS +1

• 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
• £46,261 – £48,679 pa
• Mid-level
• Contract

Develop and evaluate novel AI algorithms to quantify brain iron load from standard-format MRI data, with a focus on quantitative susceptibility mapping (QSM). Based in UCL's Hawkes Institute, a multidisciplinary grouping at the intersection of engineering and health, the post is funded for four months.

MRI

• London
• On-site
• £100,000 – £150,000 pa
• Director · manages people
• Permanent

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.

• 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.

• Guildford
• £38,448 – £46,970 pa
• Entry level
• Contract

Postdoctoral fellow role applying informatics, data science, machine learning and AI to animal health and welfare within the vHive and Health and Biomedical Informatics Group. Responsibilities include computational data analysis, in-silico drug repurposing, knowledge representation, biomarker discovery from proteomics and transcriptomics, and collaboration with industry partner Zoetis.

R · Python

• Cambridge
• On-site
• £37,694 – £46,049 pa
• Entry level
• Contract

Develops mathematical and computational methods for privacy-preserving human pangenome references, including differentially private pangenome graphs, privacy-aware graph algorithms, and benchmarking on genomic data. The interdisciplinary role sits in an applied maths department and involves collaboration on statistical, optimization and differential privacy aspects, with freedom to shape the project's direction.

• London
• Hybrid
• Senior

Joins the Retail Insight team to investigate, develop and deploy complex data science applications for Tesco, covering personalisation, basket analysis, pricing, promotions and loyalty. Works directly with client leadership to build reusable, scalable models using Python, SQL and PySpark, turning complex problems into measurable commercial insight.

Git · PySpark

• Bedford
• Hybrid
• Mid-level
• Contract

Provides statistical expertise across R&D, Clinical, Product Support and Marketing, covering study design, analysis plans, algorithm evaluation and post-market surveillance. One of three Statisticians in the Statistical & Data Services Team, acting as statistical representative on assigned projects and communicating findings to non-technical audiences. 12-month maternity cover within a regulated diagnostics environment.

SAS · R · Python

• London
• Hybrid · 3 days in office
• Senior

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.

JAX · PyTorch · XLA +6

• London
• Senior

Serve as the trusted technical ML and AI expert for enterprise customers, architecting production-grade ML and AI workloads on the Databricks Data Intelligence Platform. Specialise in GenAI solutions including RAG architectures, agentic systems, MLOps and LLMOps, while mentoring colleagues and supporting the technical sales cycle with MVPs and deep-dive sessions.

Databricks · AWS · Azure +7

• London
• Senior

Expert-level technical leader owning the most complex enterprise customer engagements, driving consumption strategy and executive relationships as the definitive technical authority. Leads multi-workload platform architectures, migrations, real-time systems and AI/ML at scale, while mentoring junior architects and orchestrating cross-functional teams.

Databricks · Snowflake · AWS +7