Data Science Jobs

Capital One · Derby

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

Capital One · Leicester

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 ideas from prototype through to production in a hybrid Nottingham-based team.

Faculty · London

Serve as a high-level technical authority steering the most complex AI projects, architecting scalable large-scale systems and setting technical direction for flagship initiatives. Provide authoritative advice across business units, influence company-wide technical strategy, and act as a respected expert for internal teams and external customers in the financial services space.

Faculty · Remote (UK)

Lead the design, build and deployment of production-grade machine learning systems for defence clients, covering architecture, scalable infrastructure and MLOps standards. Work cross-functionally with engineers, data scientists and commercial teams, and act as a trusted technical advisor to customers while mentoring junior engineers. Requires eligibility for UK Security Clearance and 2-4 days per week on client sites.

Michael Page · Birmingham · £85,000 – £95,000 pa

Lead enterprise-wide data and analytics capability for a large social housing organisation on a 12-month fixed term contract. Own the data strategy, governance framework, enterprise data architecture and BI/analytics delivery, while leading a data function and advising executive and senior leadership teams. Requires one day per week onsite at the Birmingham head office.

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.

Palantir Technologies · New York, United States · US$6,700 pm

Deployment Strategists embed with customer teams to turn data into operational action, exploring datasets, integrating pipelines with Forward Deployed Engineers, and building customised workflows. The role involves leading training, presenting to analysts and executives, and scoping engagements across industries, with 25-75% travel and a focus on revitalising the American industrial base.

Palantir Technologies · New York, United States · US$110,000 – US$120,000 pa

New-grad role embedding with customer teams to turn messy data into operational software, exploring datasets, building workflows and leading training sessions. Works alongside Forward Deployed Engineers and Product Designers, with 25-75% travel and demos to audiences up to C-suite.

Gleeson Recruitment Group · Birmingham · £90,000 pa

Owns the full model lifecycle for credit risk, affordability and pricing models, from problem definition and feature engineering through validation, deployment and monitoring. Builds monitoring frameworks and dashboards, explores challenger models and A/B testing, and translates analysis into commercially focused insights for Data, Risk and Product stakeholders in an SME lending context.

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.

Technical University of Denmark · Lyngby, Denmark

A professorial role leading research in biostatistics and environmental statistics, with a focus on human health and applications using Denmark's highly registered population. The post holder shapes the Statistics and Data Analysis section's scientific direction, supervises graduate and postdoctoral researchers, and teaches across BEng, BSc, MSc and PhD levels.

Databricks · London

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.

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.

Snowflake · London

Owns the end-to-end product lifecycle for enterprise AI services within the Snowflake Cortex team, from discovery and roadmap definition to launch and metrics analysis. Leads a cross-functional pod of engineers, data scientists and solution architects, translating bespoke customer deployments into scalable platform features while working closely with GTM and customer leadership.