Data Scientist

Are you a Data Scientist who enjoys building real‑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 on high‑impact data products , combining advanced analytics, business understanding, and client‑facing delivery in a collaborative, product‑focused environment. The company 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 a Customer Intelligence Platform , where data science, analytics, and product teams collaborate to create scalable, reusable data products. Where you fit You'll sit within the Data Science team , working closely with Product Managers, Data Analysts, and subject‑matter experts. This is a hands‑on modelling role with strong client interaction , where you'll take problems from discovery through to delivery - combining technical expertise with commercial thinking. What you'll be doing * Build predictive models (often propensity 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 * Lead rapid 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 Example project You might build a model that predicts which customers are most likely to repay debt , then segment them to determine the best engagement strategy - using behavioural and demographic patterns to optimise outcomes. Tech stack * Python \& SQL (essential) * Databricks (core analytics environment) * Azure‑based data platform (with flexibility depending on client environments) What you bring Must‑haves * 3+ years experience in data science * Strong Python and SQL skills * Experience building and evaluating predictive models * Understanding of data modelling and feature engineering * Ability to translate data into clear commercial insight and recommendations * Confident communicator - comfortable working directly with clients * Consultancy or client‑facing experience Nice to have * Experience with Databricks or cloud platforms (Azure, etc.) * Background in customer, marketing, or transactional data * Exposure to industries like telecoms, financial services, or utilities Why this role * Work on end‑to‑end data science projects - not just isolated modelling * Strong balance of technical work and commercial impact * Opportunity to contribute to product development and innovation * Exposure to multiple clients, industries, and use‑cases * Collaborative team environment with analysts, SMEs, and product teams Working pattern * Hybrid: 1 day per week in London * Open to candidates based in the Midlands who can commute weekly * Additional flexibility for the right candidate * UK travel to clients may be required depending on project work