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