231 jobs for “Data & Bi Developer”
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 London £90,000 – £150,000 pa
Lead a centralised Analytics and MI function operating as an internal consultancy, managing managers and analysts while driving the shift from descriptive reporting to insight-led analytics. Embed AI and advanced analytics into workflows, oversee scalable data and reporting infrastructure, and manage migration to a new decisioning platform across finance, marketing and executive stakeholders.
Innova Solutions London £50 pa
Applies statistics and time-series analysis to mobile app telemetry, turning raw data into decision-ready insights and dashboards for leadership. Builds multi-page Streamlit dashboards and integrates API/SQL sources including Snowflake and OpenSearch, working end-to-end from data source to analysis to dashboard alongside QE, delivery and product teams.
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.
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.
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.
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.
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.
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.
Candour Greater Manchester £65,000 – £75,000 pa
Join a core team of data scientists, engineers and analysts working in small teams on a two-week review cycle, delivering minimum viable solutions that scale. You will apply the full data science lifecycle, from exploratory analysis and model building to deployment, monitoring and retraining, while working with stakeholders on pricing, customer intent and decision-making. The role blends hands-on Python and machine learning work with clear communication of findings.
Faculty London
Lead the scientific direction and architectural rigour of upstream AI safety and evaluation standards, partnering directly with Frontier Labs. Design novel experiment frameworks, mentor data scientists, and translate complex challenges into rigorous scientific frameworks while guiding cross-functional teams.
