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.

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.

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.

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.

Synthesia · London

A principal-level individual contributor role driving deep, self-directed investigations into user behaviour across acquisition, activation, usage and the wider customer journey. The work spans causal and statistical analysis, churn and other models, unstructured and AI-specific data, and opportunity sizing, with findings feeding experiments, roadmap and strategy. Distinct for its proactive, no-brief mandate and close partnership with Product, Engineering, Growth and commercial teams.

Harnham - Data and Analytics Recruitment · London · £90,000 – £100,000 pa

Lead a team of analysts while staying hands-on with SQL, experimentation and statistical testing to improve operational performance. Shape the analytics roadmap with senior stakeholders, automate manual processes, and build measurement frameworks for AI tools and chatbot initiatives in a fast-paced, data-driven environment.

dunnhumby · London

Sits within the Insight Enablement function of the Tesco Insights team, shaping enablement strategy and transformation initiatives so client-facing teams can maximise the impact of products, tools and propositions. Defines frameworks, connects stakeholder needs with product developments, and champions adoption of AI and emerging technologies to improve efficiency and client outcomes.

dunnhumby · London

Owns relationships with supplier clients on the Tesco Insights team, acting as primary contact for needs, opportunities and business challenges. Translates shopper data and analytics into actionable recommendations, and works with consulting, analytics and commercial teams to drive engagement, retention and growth across a client portfolio.

MERJE · Wolverhampton · £50,000 – £60,000 pa

Builds and shapes the analytical capability of an independent enforcement oversight body, developing a six-monthly industry data return, a data-led risk assessment framework and Power BI dashboards for oversight and complaints. Combines hands-on analysis and tool-building with wider oversight work, including occasional on-site firm reviews, and explores responsible uses of AI.