Data Science Jobs

Faculty · Remote (UK)

Lead technical direction on complex, business-critical AI projects for defence clients, architecting production-grade machine learning solutions and overseeing end-to-end delivery. Combines hands-on ML depth with strategic oversight, mentoring data scientists and managing demanding client relationships. Requires UK Security Clearance and 2-4 days per week on client sites.

Palantir Technologies · Oslo, Norway

Deployment Strategists embed with customer teams to turn data into operational action, meeting analysts on-site, identifying datasets, and working with Forward Deployed Engineers to build data pipelines and bespoke workflows. The role involves leading training, presenting to audiences up to C-suite, and feeding field insights back into cross-company product offerings, with 25-75% travel.

Palantir Technologies · Madrid, Spain

Deployment Strategists embed with customer teams to turn data into operational action, meeting analysts on-site, identifying datasets and building bespoke workflows with Forward Deployed Engineers. The role involves leading training, presenting to C-suite audiences, and feeding field insights back into cross-company product offerings, with 25-75% travel.

Faculty · London

Scoping, building and delivering bespoke AI projects for pharmaceutical clients within a close-knit life sciences team. Involves managing work streams, conducting open-source analysis, translating operational requirements into user stories, and designing user-centric workflows alongside technical teams.

Capital One · Leicester

Develops and maintains the statistical and machine learning models behind customer lending and underwriting decisions, using Python and advanced feature generation on large datasets. Involves model risk management, validation, monitoring and technical documentation, plus consulting on statistical test design with business partners. Hybrid role, three days a week in the Nottingham office.

Capital One · Derby

Develops and maintains the statistical and machine learning models behind key underwriting and lending decisions, working with large datasets, feature generation and Open Banking or Credit Bureau data. Involves model risk management, validation, monitoring and consulting on statistical test design within a collaborative data science team.