Data Science Jobs

Palantir Technologies · London

Builds and architects data-intensive frontend interfaces for Palantir Foundry, owning APIs and schemas that power complex workflows. Works with TypeScript, React and GQL, creating low-code tools and mentoring engineers, with possible embedded customer rotations.

Palantir Technologies · New York, United States · US$135,000 – US$200,000 pa

Works directly with customers to own Gen AI strategy and implementation, building end-to-end LLM workflows and taking them to production at large scale. Operates in small teams like a hands-on AI startup CTO, feeding field learnings back into the Palantir AIP product suite. Requires strong engineering and ML foundations plus up to 25% travel to client sites.

Harnham - Data and Analytics Recruitment · Merseyside · £45,000 – £55,000 pa

Builds and deploys predictive machine learning models across customer and commercial use cases, including segmentation, lifetime value, forecasting, propensity and churn. Works with senior stakeholders, analysts and engineers to operationalise models on cloud platforms such as Azure or GCP, moving beyond experimentation to measurable business value.

Harnham - Data and Analytics Recruitment · London · £60,000 – £65,000 pa

Lead client-facing analytics engagements, translating business challenges into analytical solutions and presenting insights to technical and non-technical audiences. Build SQL-based solutions and dashboards in Tableau or Looker, harmonising complex data sources while managing project timelines, risks and governance alongside data, engineering and consulting 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.

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

Build and scale AI-powered systems for government and public sector clients, owning the full stack from Python/FastAPI backends to TypeScript and React or Vue frontends. Work in cross-functional teams with data scientists and product managers, deploying to AWS, Azure or GCP with Docker and building data pipelines and cloud infrastructure. May require UK Security Clearance and occasional on-site work with government clients.

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.

Michael Page · Hertfordshire · £60,000 – £65,000 pa

Owns supply chain master data governance and data integrity across plan, source, make and deliver processes in ERP systems. Builds dashboards and analytics in Excel and Power BI, applies automation and AI tools to improve planning accuracy, and leads process mapping, root cause analysis and continuous improvement. Acts as key user for supply chain systems, supporting testing, implementation and training.

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.

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.

LENACRE GROUP LTD · London · £55,000 – £62,000 pa

Translate business requirements into working prototypes and production-ready tools using AI-assisted development and low-code platforms. Build automations across Microsoft 365, Power Platform, SharePoint, Power BI and Azure, reviewing AI-generated code for security and maintainability while working with stakeholders, infrastructure and governance teams.