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Job Description

Senior Data Scientist

London or Leicester (hybrid, 1 day per week onsite)

£60,000 to £75,000

This is an opportunity to join a pricing team building innovative models that shape how pricing decisions are made. You will work with complex and novel datasets, develop predictive models, and help advance a modern modelling framework that delivers real commercial impact.

The Company

They are a well-established organisation investing in data science and advanced analytics. The pricing team operates with agility and encourages curiosity, experimentation and rapid learning. With strong leadership backing and a growing modelling roadmap, they are looking to add experienced Senior Data Scientists to support their next phase of development.

The Role

• Develop, refresh and combine pricing and footprint models that support pricing decisions.

• Work with messy, complex datasets including geospatial and alternative data sources.

• Build predictive and residual models across major products, contributing to a wider model chain.

• Review and improve existing early-stage models, progressing them toward production readiness.

• Explore new ways to manage and integrate multiple models within a stack.

• Guide a junior Data Scientist and support their technical development.

• Communicate model outputs clearly to technical and non-technical stakeholders.

Your Skills and Experience

• Strong experience working with large, messy and diverse datasets.

• Hands-on modelling experience using GLMs, XGBoost or similar predictive methods.

• Proficiency in Python and SQL, ideally within a cloud environment such as Azure.

• Experience combining or managing multiple models in a pipeline.

• Clear communication skills with the ability to explain insights effectively.

• A curious mindset and the ability to work at pace.

• Insurance experience is welcome but not essential.

What They Offer

• A salary between £60,000 and £75,000.

• Hybrid working with London or Leicester as a base.

• The chance to build impactful pricing and footprint models.

• Career development through ownership, visibility and coaching opportunities.

If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.