Data Science Jobs

Palantir Technologies · New York, United States

Builds the front-end tooling and interfaces that let users construct data-intensive applications on Palantir Foundry, working in TypeScript, React and GQL with Blueprint components. Involves architecting state management and access patterns, owning APIs and schemas, and iterating with users and designers on complex UX. May include a Frontline rotation embedded with customers.

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.

Harnham - Data and Analytics Recruitment · London · £100,000 – £150,000 pa

Lead a data research function, defining strategy for sourcing and evaluating new datasets and assessing their quality, reliability and commercial value. Oversee statistical analysis, modelling and time series research, run end-to-end projects, and mentor a small team while driving adoption of AI and advanced analytics.

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.

McLaughlin & Harvey · Coatbridge

Designs and maintains Power BI semantic models, DAX measures and SQL transformations within a data warehouse, building and improving reports and dashboards for a construction business. Works with colleagues to gather requirements, validates data against source systems, and supports in-house web applications, with hybrid and flexible working options.

Isomorphic Labs · London

Lead pharmacology and translational biology strategy for large molecule therapeutics, designing in vivo and in vitro studies and acting as Biology Lead on drug discovery projects. Coordinate internal workflows and external CROs to drive candidates toward go/no-go decisions, while feeding pharmacology data back into generative AI design loops.

Hays Technology · Belfast · £460 – £485 pd

Gather and document business and data requirements, analyse data flows, lineage and sourcing, and write SQL to validate data. Produce BRDs, process maps and functional specs while working with business, data and technology stakeholders on Markets and regulatory transformation. Requires Capital Markets or Financial Services background and strong SQL skills.

Real · Berkshire · £500 pd

Support a Microsoft Fabric implementation within a data transformation programme, gathering and documenting business and technical requirements while mapping business processes. Work closely with stakeholders in Agile delivery to help ensure a modern data platform is delivered successfully, with exposure to Fabric being highly desirable.

Opus Recruitment Solutions · London · £260 – £290 pd

Two Data Analysts are sought to support analytical and reporting initiatives in a payments, banking or fintech context. Day to day involves backbook segmentation, customer analytics, propensity and predictive modelling, performance reporting, and building and automating dashboards and MI. The role requires strong SQL and Power BI or Tableau skills, working with large datasets and stakeholders to turn business requirements into analytical solutions.

Michael Page · Leeds · £40,000 – £48,000 pa

Analyse large datasets to uncover trends and build predictive models and algorithms that support strategic decisions in a financial services setting. Work within a collaborative analytics team, presenting findings to non-technical stakeholders and helping maintain data pipelines and infrastructure. Requires Python, R or SQL plus statistical and machine learning techniques, with GIS tooling also desirable.

Vallum Associates · London · £475 – £500 pd

Data scientist role focused on collecting and analysing large datasets, building experimental models and machine learning applications in Python, and performing complex statistical analysis. Involves leading small teams, mentoring junior data scientists, and working with classical ML, LLMs, prompt/RAG techniques and experiment design. Contract position with two days per week in the London office.

East Anglian Air Ambulance · Norwich · £31,126 pa

Joins the Information Systems team of a regional air ambulance charity, building reports, dashboards and visualisations in Power BI and developing low-code automations with Microsoft Power Platform and Copilot. Supports fundraising and operational teams with segmentation and performance analysis while improving data quality and governance. Hybrid role with at least three days a week in the Norwich or Cambridge office.

PeopleScout RPO · Bristol

Joins a marketing agency's data team to turn complex marketing and recruitment data into insights for the Armed Forces Recruitment Service. Day to day involves gathering, cleansing and analysing data from platforms like Google Ads, Meta, GA4 and Adobe Analytics, building reports and dashboards in Power BI, Tableau or Domo, and using SQL to support campaign measurement, attribution and forecasting.

Sagacity · London

As part of the Analytics Team, you will deliver data science projects for clients, working with the Data & Analytics Manager and senior colleagues. The role involves collaborating with stakeholders across data strategy, sales, account management, delivery and marketing, applying technical skills and commercial awareness to build data solutions that drive measurable operational results.

The University of Edinburgh · Edinburgh · £41,064 – £48,822 pa

Contributes to a cardiovascular and renal research programme using routinely-collected NHS data to improve risk prediction in kidney disease. Involves curating and interrogating large linked datasets, designing data-linkage studies, and performing advanced statistical modelling in R. Embedded in a growing team, with mentoring and future leadership responsibilities.