Data Scientist

Overview

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.

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.

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.

• 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

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.

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

• 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
  
  Consultancy or client‑facing experience

• Experience with Databricks or cloud platforms (Azure, etc.)
• Background in customer, marketing, or transactional data
• Exposure to industries like telecoms, financial services, or utilities

• 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

• 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