Data Scientist

Are you a Data Scientist who enjoys buildingreal-world models that drive commercial decisions, not just experimentation? I'm hiring for a Data Scientist to join a leading data and analytics consultancy working across customer insight, marketing, and predictive modelling.

This is a brilliant opportunity to work onhigh-impact data products, combining advanced analytics, business understanding, and client-facing delivery in a collaborative, product-focused environment.

This is a well-established data consultancy that sits at the intersection of data provision, analytics, and product development. They work with high-volume customer data across sectors like utilities, telecoms, financial services, and charities - using data to solve real commercial problems and drive better decisions.

They've built out aCustomer Intelligence Platform, where data science, analytics, and product teams collaborate to create scalable, reusable data products.

You'll sit within theData Science team, working closely with Product Managers, Data Analysts, and subject-matter experts.

This is ahands-on modelling role with strong client interaction, where you'll take problems from discovery through to delivery - combining technical expertise with commercial thinking.

• Build predictive models (oftenpropensity modelling / scoring models) to solve real customer and business problems
• Work directly with clients to understand challenges, run discovery sessions, and shape analytical approaches
• Develop and refine models, including training, testing, and optimisation
• Leadrapid prototyping and proof-of-concept work using Databricks notebooks
• Define features, model structures, and scoring outputs for data products
• Translate analytical outputs into clear, actionable insights and presentations for clients
• Contribute to the development of scalable, reusable data products within the platform

You might build a model that predictswhich customers are most likely to repay debt, then segment them to determine the best engagement strategy - using behavioural and demographic patterns to optimise outcomes.

• Python & SQL (essential)
• Databricks (core analytics environment)
• Azure-based data platform (with flexibility depending on client environments)

Must-haves

• 3+ years experience indata science
• StrongPython and SQL skills
• Experience building and evaluating predictive models
• Understanding ofdata modelling and feature engineering
• Ability to translate data intoclear commercial insight and recommendations
• Confident communicator - comfortable working directly with clients
• Consultancy or client-facing experience

Nice to have

• Experience withDatabricks or cloud platforms (Azure, etc.)
• Background in customer, marketing, or transactional data
• Exposure to industries liketelecoms, financial services, or utilities

• Work onend-to-end data science projects - not just isolated modelling
• Strong balance oftechnical work and commercial impact
• Opportunity to contribute toproduct development and innovation
• Exposure to multiple clients, industries, and use-cases
• Collaborative team environment with analysts, SMEs, and product teams

• Hybrid: 1 day per week in London
• Open to candidates based in theMidlands who can commute weekly
• Additional flexibility for the right candidate
• UK travel to clients may be required depending on project work