Data Science Jobs

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.

Palantir Technologies · New York, United States · US$6,700 pm

Deployment Strategists embed with customer teams to turn data into operational action, exploring datasets, integrating pipelines with Forward Deployed Engineers, and building customised workflows. The role involves leading training, presenting to analysts and executives, and scoping engagements across industries, with 25-75% travel and a focus on revitalising the American industrial base.

Harnham - Data and Analytics Recruitment · London · £50,000 – £65,000 pa

Join a growing data and analytics team where you'll deliver insight supporting data-driven marketing and commercial decisions. You'll build predictive models and machine learning techniques, prepare and cleanse data from multiple sources, and translate findings into clear stories for technical and non-technical audiences.

Harnham - Data and Analytics Recruitment · London · £120,000 – £150,000 pa

Leads the integration of data science and analytics functions within a consumer business undergoing data transformation. Focuses on strategic direction, stakeholder influence, and delivery of measurable business impact through data-driven solutions. Redesigns reporting, drives self-serve analytics adoption, and scales a multidisciplinary team in a commercially driven environment.

dunnhumby · London

Owns relationships with supplier clients on the Tesco Insights team, acting as primary contact for needs, opportunities and business challenges. Translates shopper data and analytics into actionable recommendations, and works with consulting, analytics and commercial teams to drive engagement, retention and growth across a client portfolio.

dunnhumby · London

Leads high-priority strategic projects and analytical work for Tesco Media, turning complex business questions into insights, recommendations and executable plans. Covers growth, productivity, AI and automation, proposition development and operating-model evolution, working closely with the Strategy Director and cross-functional partners from discovery through implementation.

Michael Page · Bedfordshire · £42,000 – £47,000 pa

Leads customer insight and marketing analytics, turning complex customer, commercial and market data into actionable strategy. Manages a team of two, builds dashboards in Power BI and GA4, and partners with marketing, digital, CRM and UX teams to optimise customer journeys and retention.

Michael Page Finance · Bristol · £60,000 – £70,000 pa

Acts as the key link between Finance and Transformation teams, leading optimisation of D365, Power BI and finance-owned data solutions. Drives process improvement, automation and reporting enhancements while supporting system upgrades, integrations, month-end and financial controls. Requires a qualified accountant with strong finance systems and stakeholder management experience.

Spectrum IT Recruitment · London

Interpret, filter and analyse very large data sets, working closely with other analysts and developers in a talented central London team. The role suits a quantitatively educated analyst proficient in several of Python, C#, C++, or Java, with mathematical modelling and probability/statistics skills; sports betting or trading knowledge and an interest in football or cricket are beneficial.

University of Cambridge · Cambridge · £37,694 – £46,049 pa

Develops mathematical and computational methods for privacy-preserving human pangenome references, including differentially private pangenome graphs, privacy-aware graph algorithms, and benchmarking on genomic data. The interdisciplinary role sits in an applied maths department and involves collaboration on statistical, optimization and differential privacy aspects, with freedom to shape the project's direction.

Adecco · London

Leads advanced analytics and data science projects end to end, applying statistical modelling to surface trends and opportunities for a global pharmaceutical client. Translates complex datasets into actionable insights and presents findings to senior stakeholders, while collaborating with reporting teams on dashboards and supporting adoption of AI-enabled analytics.

VIQU IT · Cambridge · £35,000 – £40,000 pa

Designs and maintains Power BI dashboards and SQL-based reporting across warehouse operations, inventory, transport, customer service, labour productivity, costs and budgets. Works with Distribution, Supply Chain, Commercial and IT stakeholders to turn operational and financial data into recommendations that change site performance, using sources such as Fabric, WMS and SAP.

Cathcart Technology · Edinburgh · £500 – £525 pd

Owns solution design across a multi-workstream ERP transformation, translating business requirements into practical, supportable designs and challenging vendor and SI deliverables. Covers integration, data migration, reporting and deployment, working with senior tech leaders and delivery partners within a Design Authority. Lakehouse or Star Schema data warehouse design and agentic AI automation are desirable.

Zachary Daniels Recruitment · Liverpool · £40,000 – £50,000 pa

Owns analysis across digital and ecommerce channels, investigating trading, customer and website data to explain performance and recommend actions. Combines hands-on SQL work in a cloud warehouse (ideally BigQuery) with GA4 web analytics, building dashboards in Power BI or Looker and improving self-service reporting. Works closely with digital, marketing and commercial stakeholders, presenting findings in commercially relevant terms.

Vermillion Analytics · Oxford · £50,000 – £55,000 pa

Six-month contract owning marketing analytics projects for a global academic publisher, designing and optimising Power BI dashboards, running A/B tests and turning campaign, channel and customer data into recommendations for senior stakeholders. Also involves building in-house training so marketers can self-serve analysis, plus data sourcing and quality checks with Technology and analytics teams.