Senior Data Scientist

Senior Data Scientist

Up to £80,000 + benefits | Hybrid, 2-3 days | London

Most data science roles inherit someone else's mess. Ageing pipelines, half-finished notebooks, models nobody trusts. This one starts differently.

A global entertainment business is building its data science capability from scratch, and the person who joins now gets to define how that function operates, what it builds, and how it scales.

The mandate is commercial and specific: build predictive models that drive customer acquisition and retention. Not dashboards. Not reports. Actual models, built and owned end to end, that measurably influence how the business grows.

You'll work across marketing, pricing and demand forecasting, tackling problems where the data is large, the decisions are high-stakes and the upside of getting it right is visible at company level. You'll design and deploy solutions in Python, SQL and Spark SQL, working across Azure Synapse, Snowflake, Databricks and Azure ML. The environment is modern and evolving. You'll help shape what good looks like before convention sets in.

The role sits at a genuine intersection of technical depth and commercial influence. You'll partner with Growth, Strategy and Technology teams to embed models into operational systems — and you'll be expected to translate what you build into clear, credible narratives for senior stakeholders who don't speak Python.

This is a builder role, not a consultant role. The expectation is ownership.

You'll enjoy this if you:

• Want to build models from scratch, not maintain someone else's
• Care about commercial outcomes, not just technical elegance
• Can move between deep modelling work and stakeholder communication without losing a step
• Are confident working with large, distributed datasets at scale
• Have strong instincts on ML, optimisation and segmentation
• Take data governance and ethical AI seriously, not as an afterthought

Strong candidates will come from a background in data science or applied statistics, with hands-on ML experience and the Python/SQL depth to match. Experience with Azure tooling is useful; the ability to think clearly about business problems and turn them into scalable analytical solutions is non-negotiable.

Curious to find out more? Hit apply or drop me a message directly, I'm happy to talk through the role informally before you decide.

** Unfortunately, due to the volume of applications, not all submissions will receive feedback**