303 jobs for “data warehouse”
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.
Bowers Partnership London £825 pd
Hands-on VP-level data scientist building generative AI, LLM/NLP and statistical modelling products end to end for a boutique investment bank's M&A and advisory bankers. Works in a small team taking prototypes into production, writing production-quality Python and explaining models to senior non-technical stakeholders. M&A experience is essential.
Spencer Rose Bristol £450 – £480 pd
Designs, builds and deploys end-to-end AI/ML solutions for a banking client's Coach AI programme, including LLM-powered assistants, copilots and multi-agent agentic systems. The role covers ML pipelines, MLOps deployment, NLP, computer vision and voice AI, plus AI guardrails, responsible-AI governance and mentoring a team as senior lead.
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.
Capital One Mansfield
Develops and maintains the statistical and machine learning models behind customer lending and underwriting decisions, using advanced feature generation and large-scale data manipulation. Consults on complex statistical test design and works cross-functionally with business partners, with a strong emphasis on Model Risk Management, validation and monitoring. Python coding and Open Banking or Credit Bureau data experience are central.
Capital One Nottingham
Develops and maintains the statistical and machine learning models behind customer lending and underwriting decisions, using advanced feature generation and large-scale data manipulation. Consults on statistical test design and works cross-functionally with business partners, with a strong emphasis on Model Risk Management, validation and monitoring.
ARM Manchester
Day-to-day work centres on analysing and reconciling large finance datasets in SQL, investigating data quality issues across multiple systems, and defining business rules, mappings and acceptance criteria. The role also covers testing, validation and release support, producing analysis for technical and non-technical stakeholders while working with finance, risk, data and technology teams.
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.
DCV Technologies Manchester £550 – £600 pd
Contract role developing and evaluating AI/ML solutions, including classical models and LLM-based applications on Google Cloud Platform. Involves prompt engineering, RAG concepts, experiment design, model evaluation and documentation, plus requirements gathering, code review and troubleshooting alongside project managers and developers.
BDO London
Builds and productionises AI/ML models for a regulated financial client, covering data wrangling, feature engineering, model development and validation, and containerised deployment. Works with an existing delivery team on classification, outlier detection, ranking and time-series risk analysis, with documentation and reproducible Git-based workflows. RegTech, FinCrime and graph analytics experience is advantageous.
Amazon London
Hands-on analysis and modelling of large multimodal datasets to measure and improve conversational shopping systems built on LLMs, information retrieval, recommender systems and knowledge graphs. Designs and analyses A/B tests, builds metrics and dashboards, and develops predictive models, working with scientists and engineers in a London team of around 150.
Amazon London
Hands-on data science role focused on Amazon's Rufus conversational shopping assistant, analysing multimodal datasets and building ML models for NLP, retrieval and recommender systems. Responsibilities span A/B test design, causal inference, metric and dashboard development, and translating insights into production systems with scientists and engineers.
Avencia Consulting 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.
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.
Pure Resourcing Solutions Cambridge £45,000 pa
Joins a professional services consultancy's Finance and Operations team as the data-driven partner, owning KPIs and financial metrics and building Power BI reporting that senior leaders use. Work spans analysing financial and operational performance, forecasting, budgeting and scenario modelling, plus improving governance and automating manual processes across multiple ERP systems and APIs.
