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.

Carbometrics · Bristol · £60,000 – £70,000 pa

Lead the development of a signal-processing pipeline that turns raw optical sensor measurements into reliable analytical results, from early data investigation through to implementation in instrument software. Work spans filtering, noise removal, bias compensation for temperature and sensor variability, calibration and change detection, using Python and experimental data alongside scientists and engineers. A hands-on technical leadership role without initial line management, focused on algorithms rather than full product software or UI ownership.

Palantir Technologies · New York, United States · US$10,500 pm

Interns contribute production code directly to Palantir's Gotham defense product, working across the full lifecycle from ideation and prototyping to shipping. Paired with a dedicated mentor, they build mission-critical tools like geospatial mapping and alert-triaging systems using Java, Go, TypeScript, React, and Spark.

Palantir Technologies · Palo Alto, United States · US$10,500 pa

Interns contribute production code directly to Palantir's Gotham defense product, working across the full lifecycle from ideation and prototyping to shipping. Paired with a dedicated mentor, they build mission-critical tools like geospatial mapping and alert-triaging systems in small product teams using Java, Go, TypeScript, React and Spark.

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.

Faculty · London

Lead the scientific direction and architectural rigour of upstream AI safety and evaluation standards, partnering directly with Frontier Labs. Design novel experiment frameworks, mentor data scientists, and translate complex challenges into rigorous scientific frameworks while guiding cross-functional teams.

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.

Faculty · London

Lead technical direction on complex, business-critical AI projects for life sciences clients, balancing speed, innovation and reliability. Designs production-grade ML solutions, runs feasibility studies for high-value sales, and mentors data scientists while managing technical stakeholder relationships across engineering and commercial teams.

Matchtech · Southampton · £75 ph

Six-month contract supporting PLM reporting and data analytics across Teamcenter and Enovia for a defence client. The role covers requirements gathering, wireframing, data modelling and validation, and building dashboards with Teamcenter Reporting and TCRA, working with the PLM product team, data colleagues and vendors. Primarily remote with occasional site visits.

Capital One · Nottingham

Lead the development of proprietary deep learning models to enhance underwriting capabilities, building neural networks such as LSTMs, RNNs and Transformers on structured and unstructured data. The role combines technical direction, stakeholder collaboration and mentoring, taking models from prototype through to production in a hybrid Nottingham team.

Capital One · Loughborough

Lead the development of proprietary deep learning models to enhance underwriting capabilities, building neural networks such as LSTMs, RNNs and Transformers on structured and unstructured data. Set technical direction, manage projects, communicate with stakeholders and mentor junior team members, taking ideas from prototype to production.

Synthesia · London

Design and build scalable, reliable systems for training, serving, and operating generative AI models in production. Develop internal tooling and automation to reduce operational overhead for researchers and engineers, with a focus on agentic workflows and platform-level abstractions. Collaborate closely with research and product teams to improve observability, debugging, and developer experience across distributed GPU environments.

Harnham - Data and Analytics Recruitment · London · £100,000 pa

Lead operational analytics strategy while staying hands-on with SQL, experimentation and statistical measurement. Manage a team of analysts supported by analytics engineering, define the analytics roadmap, and partner with senior stakeholders to improve operational performance, customer outcomes and AI-enabled tools such as chatbots and copilots.

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.

Qualify Nation Recruitment · London · £28,000 – £38,000 pa

A traineeship covering AI fundamentals, generative AI and LLMs, prompt engineering, workflow and business process automation, AI agents, no-code platforms and API integrations. Participants build a portfolio through realistic projects such as chatbots, automated business processes and process analysis, with mentoring and career guidance. No prior AI or automation experience is required.

Databricks · United Kingdom

Customer-facing technical authority on Generative AI, LLMs and applied ML for digital-native and startup accounts across EMEA. Shapes architectures, builds hands-on proofs of concept and reference implementations on Databricks (Mosaic AI, MLflow, Model Serving, Vector Search, Unity Catalog), leads fine-tuning and evaluation engagements, and mentors the wider field engineering organisation.