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), * 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

• 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