Data Science Jobs

Local Pensions Partnership Administration · Preston · £90,000 – £100,000 pa

Lead AI strategy, governance and delivery across a major UK pension administration organisation, working with the CTO and executive team to identify and scale AI opportunities. Establish responsible AI frameworks, build and manage a specialist AI team, and oversee adoption of tools such as Microsoft Copilot, Civica UPM and UiPath. The role combines strategic leadership, risk assurance and supplier engagement to drive measurable service improvements.

University of Exeter · Exeter · £21,805 pa

An interdisciplinary PhD developing miniaturised, low-power sensing hardware co-designed with AI for field monitoring of wild animals, including individual recognition and automated behavioural and physiological quantification. Systems are benchmarked under controlled conditions then validated on wild jackdaws and West African field sites, spanning behavioural ecology, electronic engineering and data science.

University of Essex · Ipswich · £40,000 – £45,000 pa

A KTP Associate role embedded at Distag QCS in Ipswich, working with a large, messy ERP dataset never designed for machine learning. The post holder shapes the data, builds reliable models, and leads the introduction of data-driven decision making in a business with no existing in-house data science capability, balancing hands-on development with commercial priorities.

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 Exeter · Exeter · £21,805 pa

Develops and tests an integrated sensing and modelling framework for predicting fine-scale forest microclimate in Amazonia, combining low-cost sensor networks, physics-based models and machine learning with Lidar and satellite data. The role involves sensor calibration, model validation, uncertainty propagation and possible fieldwork in Brazil, with scope to emphasise hardware, modelling or data science.

University of Sheffield · Sheffield · £32,080 pa

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.

University of Hertfordshire · Hatfield · £39,560 – £46,970 pa

Postdoctoral role delivering research on innovative AI/ML algorithms for predictive modelling and optimisation of agricultural applications using heterogeneous data, as part of an Innovate UK-funded collaborative project. Involves developing AI/ML software tools, data management and analysis, supporting the Principal Investigator on project milestones, and contributing to publications and reports.

University of Essex · Milton Keynes · £41,950 pa

Develops novel computer vision techniques to capture and analyse live-broadcasted eSports events, identifying in-game events and building low-latency AI calculations for in-play and pre-match betting markets. Works with Python, TensorFlow or PyTorch alongside Java and .NET colleagues, using historical game data and video feeds to detect irregular play patterns.

Quadram Institute Bioscience · Norwich · £39,000 – £46,500 pa

Integrate and analyse heterogeneous dietary, microbiome, metabolomic and mental-health datasets, building reproducible statistical workflows for longitudinal and multi-omics data. Apply causal-inference and validated machine-learning models to predict health outcomes and investigate diet-microbiome-mental-health relationships within a research group.

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

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.

University of Oxford · Oxford · £39,424 – £47,779 pa

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.

University of Exeter · Exeter · £21,805 pa

Develop next-generation machine learning models to predict genetic interactions from large-scale perturb-seq data, evaluating graph neural networks, autoencoders and joint gene embeddings. The project is purely computational, with experimental pancreatic cancer data supplied by the AstraZeneca and Cancer Research Horizons Functional Genomics Centre for a lab-in-the-loop validation cycle.