Data Science Jobs in Oxford

• Oxford
• On-site
• £49,119 – £59,955 pa
• Senior · manages people
• Contract

Lead a research strand on Bayesian methods for evaluating and monitoring AI systems, publishing findings and guiding research assistants and students. You will also lead the lab's open-source software and translate results into policy-facing outputs, working with the Oxford Martin AI Governance Initiative. The role is fixed-term for two years.

• Oxford
• £57,721 – £66,608 pa
• Senior
• Contract

Provides statistical and methodological leadership across the OxWell Student Survey and its new School Compass programme, setting statistical priorities and long-term strategy. Coordinates statistical support for researchers and collaborators across multiple departments, ensuring scientific quality and integrity of analyses of large, complex school mental health datasets.

• Oxfordshire
• £45,000 – £46,000 pa
• Mid-level

Builds and maintains Power BI dashboards, semantic models and DAX measures, and writes optimised SQL and Databricks transformations to support reporting. Works closely with business stakeholders to turn requirements into reliable, high-quality analytics and to promote self-service reporting.

Power BI · Databricks · SQL

• Oxford
• Hybrid · 3 days in office
• £50,000 – £55,000 pa
• Mid-level
• Contract

Six-month contract owning marketing analytics projects for a global academic publisher, designing and optimising Power BI dashboards, running A/B tests and turning campaign, channel and customer data into recommendations for senior stakeholders. Also involves building in-house training so marketers can self-serve analysis, plus data sourcing and quality checks with Technology and analytics teams.

Power BI · Google Analytics · Alteryx +7

• Didcot
• Hybrid · 3 days in office
• £55,000 pa
• Mid-level
• Contract

Business-facing marketing analytics role turning marketing, customer and sales data into commercial insights and recommendations. Involves building Power BI/Tableau dashboards, analysing campaign performance and segmentation, running A/B tests, and partnering with UK and global marketing and sales teams. Hybrid working in Didcot, three days on-site.

Power BI · Tableau · Alteryx +7

• Didcot
• On-site
• £45,000 – £65,000 pa
• Mid-level
• Permanent

Develops predictive models and improves chemometric capabilities, working at the intersection of machine learning, chemistry and industrial process data. Collaborates with chemometricians, software developers and customer engineering teams to turn noisy real-world datasets into practical recommendations for manufacturers. Hands-on role shaping the IRis software platform, with occasional international travel.

Azure · IRmadillo · IRis

• 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

• 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.