Data Scientist

Data Scientist

North West or London, Hybrid

Up to 70,000

What if your next role wasn't about maintaining someone else's models?

What if you joined at the beginning, built the foundations, owned your work, and helped shape the future of an entire Data Science function?

That's exactly what this opportunity offers.

We're working with a growing insurance business investing heavily in data, pricing and machine learning. They have built the platform. Now they're looking for a Data Scientist who wants to build what comes next.

This is a genuine greenfield role. You'll work directly with the Head of, developing production machine learning models, improving pricing capability and helping create the company's long-term Data Science strategy.

If you're looking for ownership instead of layers of bureaucracy, this role is worth a conversation.

• Build production machine learning models from scratch.
• Develop pricing and customer behaviour models.
• Improve existing Lifetime Value (LTV) models.
• Deploy models into production using Python.
• Work across pricing, marketing, claims and customer analytics.
• Analyse model performance and continuously improve accuracy.
• Help shape future MLOps capability.
• Work closely with stakeholders across the business.

• Commercial experience as a Data Scientist.
• Strong Python and SQL skills.
• Experience building and deploying machine learning models.
• Strong statistical and analytical skills.
• Someone who enjoys solving complex business problems.
• Excellent communication skills and the confidence to work with technical and non-technical stakeholders.
• A naturally curious person who enjoys learning new technologies.

• Insurance, financial services or pricing experience.
• Customer behaviour modelling.
• MLOps exposure.
• Databricks.
• Azure

• Genuine greenfield environment.
• High level of ownership from day one.
• Work directly with senior leadership.
• Opportunity to influence the technical direction of the business.
• Modern Microsoft technology stack including Azure and Databricks.
• Clear progression as the Data function grows.