Data Science Jobs

• Leicester
• On-site
• £83,000 – £93,000 pa
• Senior · manages people

Lead two specialist functions, MI & Reporting and Robotic Process Automation, within a Finance Operations leadership team. Own the analytics roadmap across a Databricks-powered ecosystem of 800+ tables and 120+ live automated processes, driving AI-powered analytics, self-service reporting and automation strategy while managing outsourced RPA partners.

Databricks · RPA · Agentic AI

• London
• Hybrid
• £45,000 – £50,000 pa
• Mid-level
• Permanent

This role involves working closely with various teams to transform data into actionable insights using Power BI. Responsibilities include designing and maintaining dashboards, delivering analysis, and championing self-serve analytics. The position offers a mix of strategic and hands-on tasks, contributing to a significant data transformation project.

• Birmingham
• Hybrid · 1 day in office
• £85,000 – £95,000 pa
• Director · manages people
• Contract

Lead enterprise-wide data and analytics capability on a 12-month fixed term contract, owning the data strategy, governance framework, architecture roadmap and BI services. The role chairs governance forums, oversees cloud data platforms and analytics, and manages a data function while reporting to executive teams. One day per week is required onsite in Birmingham.

AI · Machine Learning · Cloud Data Services +3

• Manchester
• £60,000 – £70,000 pa
• Mid-level

Own and evolve commercial pricing strategy across a large-scale, high-volume ecommerce marketplace, developing dynamic pricing models that respond to real-time demand, competitor activity and seasonality. Partner with Data Science and Engineering to introduce AI-powered pricing, predictive models and automated decision engines, while leading A/B tests, scenario modelling and pricing KPI dashboards alongside Commercial, Finance and Product stakeholders.

AI

• Swindon
• £60,000 – £70,000 pa
• Senior

This is a hybrid role with a minimum of three days in the office per week.At Cotswold Outdoor Group, the outdoors isn’t just where we work, it’s who we are. Every day, our head office teams play a vital role…

• London
• Hybrid
• Senior
• Contract

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.

Python · R · SAS +3

• Loughborough
• Hybrid
• Mid-level

Hands-on role in a Group IT Data & AI team, owning use cases end to end from problem definition and feature engineering through model development, deployment and monitoring. Work spans BI, advanced analytics, ML and AI solutions in Python, SQL and Spark on cloud platforms, with accountability for measurable commercial value and input into governance standards.

Spark

• Rochdale
• Hybrid
• £500 – £550 pd
• Senior
• Contract

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.

Power BI · SQL · Python +3

• Manchester
• Hybrid
• £28,000 – £32,000 pa
• Entry level
• Permanent

A graduate-level role analysing datasets to identify trends and support the development, testing and maintenance of statistical and predictive models. You'll use Python, SQL, SAS or PySpark and machine learning techniques, presenting findings to technical and non-technical audiences while collaborating across teams on varied projects.

Python · SQL · SAS +1

• London
• £80,000 – £110,000 pa

Hands-on data science role building a dedicated Claims Analytics capability for an international insurer. You will develop statistical and machine learning models for claims forecasting, triage, severity, recoveries and resource planning, working with structured and unstructured claims data alongside Claims, Underwriting, Actuarial and Technology teams.

• Newcastle upon Tyne
• £75,000 – £90,000 pa
• Mid-level

Builds forecasting models and mines large structured and unstructured datasets to produce insights that shape commercial and strategic decisions. Designs automated data pipelines, reporting and self-service visualisation tools, working closely with both technical and business stakeholders. Python, SQL, statistics and machine learning are central, with Azure and Databricks listed as desirable.

Azure · Databricks

• Newcastle upon Tyne
• £90,000 – £110,000 pa
• Mid-level

Builds forecasting models and applies statistical and machine learning techniques to large structured and unstructured datasets. Designs automated data pipelines, reporting and self-service visualisation tools, and works closely with business and technical stakeholders to turn analysis into commercial decisions. Azure and Databricks experience is desirable.

Azure · Databricks

• London
• Lead

Leads customer analytics across multiple markets, building CLV, RFM segmentation, incrementality measurement and value frameworks that give leadership defensible commercial insight. Partners with Finance to reconcile customer, transaction and margin data, and builds scalable pipelines in Databricks, Spark and Python with strong validation and audit practices.

Databricks · Spark · PySpark +4

• London
• Mid-level
• Permanent

Develops and maintains LLM instruction iterations and evaluation frameworks, including automated eval pipelines, LLM-as-a-judge methodologies, rubric design and dataset curation. Runs A/B tests, causal inference and large-scale multimodal analysis to improve conversational shopping quality, partnering with applied scientists and engineers to productionise insights.

MCP · ETL

• London
• Hybrid
• Lead

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