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.

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 · 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.

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.

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.

GXO Logistics · Bradford · £30,000 pa

Produces accurate MI reports, dashboards and performance metrics, analysing operational data to spot trends and improvement opportunities. Builds and maintains Power BI dashboards, Power Apps and automated reporting, partnering with operations, finance, inventory and customer service teams to support decision-making and data quality.

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.

GXO Logistics · Burnley · £60,000 pa

Lead the Management Information function at a new Burnley distribution site, delivering accurate reporting, analytics and business insight to senior operational leaders. Develop dashboards and reporting suites using Power BI or Tableau, drive data governance and continuous improvement, and partner with finance, HR and customer stakeholders to support decision-making.

Databricks · London

Hybrid technical and commercial role acting as post-sale technical lead across all Databricks products for strategic accounts. You own the technical account strategy and execution plan, driving use cases from win to production, coordinating Solutions Architects, Professional Services and support teams, and reporting on usage, adoption and customer health.

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.