Formula.
Senior Data Scientist
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
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.
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
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
Get help with your application
Your very own career expert that helps elevate your application to the next level.
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**
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location