Data Science Jobs

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.

Palantir Technologies · New York, United States · US$110,000 – US$170,000 pa

Deployment Strategists embed with customer teams to turn data into operational action, exploring datasets and partnering with Forward Deployed Engineers to build pipelines and customised workflows. The role involves onsite work, training users, and presenting to audiences from analysts to C-suite, with travel of 25-75% and some deployment to internal Palantir teams.

Palantir Technologies · Chicago, United States

Deployment Strategists embed with customer teams to turn data into operational action, exploring workflows, identifying key problems and integrating datasets into stable pipelines alongside Forward Deployed Engineers. The role involves building customised workflows, leading training, presenting to analysts through C-suite, and scoping new engagements, with 25-75% travel and a Chicago base.

Capital One · Loughborough

Develops and maintains the statistical and machine learning models behind customer lending and underwriting decisions, with a strong emphasis on Model Risk Management, validation and ongoing monitoring. Uses Python and advanced feature generation on large datasets, including Open Banking and Credit Bureau data, to support cross-functional business initiatives.

Capital One · Lincoln

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 consulting on statistical test design, working closely with business partners in a hybrid Nottingham team.

Harnham - Data and Analytics Recruitment · London · £90,000 – £150,000 pa

Lead a centralised Analytics and MI function operating as an internal consultancy, managing managers and analysts while driving the shift from descriptive reporting to insight-led analytics. Embed AI and advanced analytics into workflows, oversee scalable data and reporting infrastructure, and manage migration to a new decisioning platform across finance, marketing and executive stakeholders.

Harnham - Data and Analytics Recruitment · London · £90,000 – £120,000 pa

Lead analytics-driven consulting engagements for financial services clients, acting as a trusted advisor to senior stakeholders and owning delivery from scoping through to value realisation. Build and grow a client-facing consulting team, contribute to business development, and help define methodologies as the practice scales.

Bassetlaw District Council · Nottingham · £37,563 – £40,444 pa

Lead the council's corporate GIS function, owning ArcGIS infrastructure, spatial intelligence strategy and location-based insight across Planning, Housing, Economic Development and Corporate Policy. The role combines technical leadership, spatial data solution development and stakeholder engagement, supporting digital transformation and Local Government Reorganisation work.

Local Pensions Partnership Administration · Preston · £90,000 – £100,000 pa

Lead AI strategy, governance and delivery across a major UK pension administration organisation, working with the CTO and executive team to identify and scale AI opportunities. Establish responsible AI frameworks, build and manage a specialist AI team, and oversee adoption of tools such as Microsoft Copilot, Civica UPM and UiPath. The role combines strategic leadership, risk assurance and supplier engagement to drive measurable service improvements.