204 jobs for “Business Intelligence”
Michael Page Birmingham £85,000 – £95,000 pa
Lead enterprise-wide data and analytics capability for a large social housing organisation on a 12-month fixed term contract. Own the data strategy, governance framework, enterprise data architecture and BI/analytics delivery, while leading a data function and advising executive and senior leadership teams. Requires one day per week onsite at the Birmingham head office.
Michael Page Birmingham £85,000 – £95,000 pa
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.
Harnham - Data and Analytics Recruitment Watford £75,000 – £95,000 pa
Lead an advanced analytics function, designing and delivering analytics products and insight frameworks while partnering with senior stakeholders to turn business challenges into analytical solutions. Hands-on work with SQL, Python or R, Power BI and statistical modelling, plus coaching analysts and setting technical standards and governance.
Harnham - Data and Analytics Recruitment Liverpool £65,000 – £70,000 pa
Number two in the Business Intelligence function, leading multidisciplinary teams across Insight, Data Science, Machine Learning, Governance and Labour Market Intelligence. The role is strategic and influence-led rather than hands-on, shaping analytics strategy, data governance frameworks and AI initiatives while advising Executive and Board-level stakeholders.
ITOL Recruit Barking £30,000 – £50,000 pa
A training and placement programme for entry-level candidates with little or no data experience, combining self-paced online courses in Excel, SQL, Python and Tableau with CompTIA Data+ and BCS Business Analysis Foundation qualifications. After qualifying, a recruitment support team helps with CVs, applications and mock interviews to secure a first data analyst role, with an advanced CompTIA Data X stage once employed.
NES Group Ltd London
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.
MRJ Recruitment Manchester £60,000 – £70,000 pa
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.
Qualify Nation Recruitment London £28,000 – £38,000 pa
A traineeship covering AI fundamentals, generative AI and LLMs, prompt engineering, workflow and business process automation, AI agents, no-code platforms and API integrations. Participants build a portfolio through realistic projects such as chatbots, automated business processes and process analysis, with mentoring and career guidance. No prior AI or automation experience is required.
Databricks London
Hybrid technical and commercial role acting as post-sale technical lead across all Databricks products for strategic accounts. You own the technical account strategy and execution plan, driving use cases from win to production, coordinating Solutions Architects, Professional Services and support teams, and reporting on usage, adoption and customer health.
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.
Morson Edge West Yorkshire £170,000 – £180,000 pa
Lead the data and AI strategy across the organisation, taking ideas from experimentation through to production at scale. Hands-on role spanning generative AI, LLMs, RAG, agentic AI and MLOps, while owning the data platform strategy and building a high-performing team. Works closely with the executive team, Product, Engineering, Architecture and Security.
Rise Technical Recruitment London £130,000 – £180,000 pa
Lead the entire AI research strategy for a financial crime intelligence business, building and managing a team of researchers and ML engineers while staying hands-on. Work spans LLM fine-tuning, agentic systems, vision models, evaluation frameworks and explainability standards for highly regulated AML, compliance and fraud detection use cases, taking research from concept through to production.
Databricks London
Embed with strategic enterprise customers to design, build and productionise custom fullstack data and AI applications on the Databricks platform. You own architecture and end-to-end delivery spanning data engineering, ML/AI integration and user-facing interfaces, partnering with Sales, Product and Field Engineering. Travel to client sites up to 50%.
dunnhumby London
Sits within the Insight Enablement function of the Tesco Insights team, shaping enablement strategy and transformation initiatives so client-facing teams can maximise the impact of products, tools and propositions. Defines frameworks, connects stakeholder needs with product developments, and champions adoption of AI and emerging technologies to improve efficiency and client outcomes.
Faculty London
Delivers bespoke production-grade machine learning systems for government and national security clients, covering the full ML lifecycle from scoping and architecture to deployment. Works with Python, Scikit-learn, TensorFlow or PyTorch, plus cloud platforms and Docker/Kubernetes, acting as a technical advisor to stakeholders.
