Data Science Jobs

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

Builds elegant, robust APIs powered by Kubernetes controllers, bridging raw clusters and an infrastructure-agnostic runtime serving hundreds of microservices. Works with forward deployed and customer engineers on a secure, compliant PaaS for US Government customers, shaping strategy for an early-stage product.

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

Builds robust APIs and Kubernetes controllers for Mission Manager, Palantir's PaaS that lets US Government customers run software securely in disconnected, cloud, or edge environments. Works with forward deployed engineers to close product gaps and shape a long-term infrastructure roadmap for a platform still in its earliest days.

Harnham - Data and Analytics Recruitment · London · £70,000 – £90,000 pa

Owns pricing-focused data science, building predictive models of risk, customer behaviour and price sensitivity, and integrating new data sources to sharpen rates and tariffs. Uses simulation to estimate claim frequency and price responses, then translates findings into commercial recommendations for senior stakeholders. Hybrid role with at least one day a week in the London office.

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.

Capital One · Lincoln

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.

Capital One · Mansfield

Leads development of proprietary deep learning models to enhance underwriting capabilities, building neural networks such as LSTMs, RNNs and Transformers on structured and unstructured data. Sets technical direction, mentors junior team members and drives prototypes through to production in a hybrid Nottingham 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.

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.

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.

The University of Manchester · Manchester · £48,337 – £59,390 pa

Develops and applies machine-learning and AI methods to protein engineering and enzyme design, analysing complex biological and chemical datasets and building predictive models and computational tools. Works within an interdisciplinary group spanning the Manchester Institute of Biotechnology and Department of Chemistry, providing ML expertise, training and support to computational and experimental colleagues.

Blackwaters CG Ltd · Farnborough · £40,000 – £50,000 pa

Lead the development of Business Intelligence capability for an investor-backed business services company, designing enterprise-quality Power BI dashboards, semantic models and self-service reporting. Build Azure-based data pipelines and ETL processes while applying commercial analysis to support pricing, forecasting and growth modelling. The role also involves close engagement with senior stakeholders to shape data strategy and champion data literacy.

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.

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.