Data Science Jobs

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.

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.

Anglian Home Improvements · Norwich · £30,000 – £35,000 pa

Collects, cleans and validates data from multiple sources, runs exploratory analysis to surface trends, and builds reports and dashboards in Excel, Power BI or Tableau. Writes and optimises SQL queries and works with experienced analysts and cross-functional stakeholders to turn raw data into insights for business decisions.

Faculty · London

Lead high-impact AI projects for retail and consumer clients, defining data science approaches, designing software architectures, and mentoring colleagues. Own the technical side of client relationships, scope projects, and embed responsible AI practices while building production-grade systems in Python.

Carbometrics · Bristol · £60,000 – £70,000 pa

Lead the development of a signal-processing pipeline that turns raw optical sensor measurements into reliable analytical results, from early data investigation through to implementation in instrument software. Work spans filtering, noise removal, bias compensation for temperature and sensor variability, calibration and change detection, using Python and experimental data alongside scientists and engineers. A hands-on technical leadership role without initial line management, focused on algorithms rather than full product software or UI ownership.

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.

VIQU IT · London · £75,000 – £80,000 pa

Design and deliver deployable AI/ML models spanning forecasting, propensity, churn and customer segmentation, owning end-to-end workflows from feature creation to ML Ops deployment and monitoring. The role is hands-on rather than research-focused, with responsibility for architecting datasets, visualising results into decision tools, and mentoring junior data scientists alongside product and engineering teams.

ARM · Manchester

Lead technical delivery of AI, machine learning and data science solutions for major financial services clients, including architecture design, production model deployment and mentoring small teams of data scientists. Client-facing role requiring strong Python, SQL, Spark and cloud experience, with LLM, prompt engineering and RAG knowledge advantageous.

NES Group Ltd · London

Builds ML and graph-based identity resolution where rule-based matching falls short, improving customer-spine architecture and reducing identity drift. Defines matching-quality metrics, supports golden-layer integration and delivers a reusable identity-resolution framework. Requires entity resolution, fuzzy matching, MLOps and feature-store experience plus Customer Master/MDM background.

Reed Technology · Rochdale · £500 – £550 pd

Delivering enterprise-scale Power BI solutions and scalable reporting for a housing client, while supporting forecasting and predictive analytics projects. The role involves translating stakeholder requirements into data solutions, improving reporting governance, and mentoring existing team members to build long-term internal capability.

Harnham - Data and Analytics Recruitment · London · £180,000 pa

Lead enterprise data, technology, architecture and AI strategy across a data-led organisation, unifying Data & Analytics, Engineering, IT, Salesforce and Architecture into a single vision. Inherit a large multidisciplinary team, own governance and architecture standards, and drive AI adoption to unlock commercial value from existing platform investments.

Michael Page HR · Alfreton · £62,000 – £66,000 pa

Lead the People Data & Insights function, defining a multi-year strategy and operating model across reporting, analytics and governance. Consolidate data from multiple HR, recruitment and learning platforms into a trusted source, enhancing Power BI dashboards and self-service capabilities while mentoring an analytics team and shaping the roadmap toward AI-enabled insight.

Tenth Revolution Group · London · £95,000 – £125,000 pa

Architect and implement Databricks Lakehouse solutions covering ingestion, processing, storage, governance and analytics for enterprise clients. Lead architectural engagements, tune workloads for performance and cost, and build CI/CD pipelines with Databricks Repos, GitHub Actions and Azure DevOps. Hybrid role in a consultancy, contributing reusable patterns to a wider Architecture Practice.

Tenth Revolution Group · Berkshire · £45,000 – £50,000 pa

Builds machine learning, forecasting and identity resolution solutions on Snowflake and Azure DevOps, with models powering web apps, mobile apps and Power BI. Works alongside the Head of Analytics in a newly created role, using SQL, Python and Medallion Architectures. Suited to someone still grounding themselves in data and AI who wants to see AI's business impact.