Senior Data Scientist

Senior Data Scientist, Alternative Pricing

Leicester

You will work on complex pricing and customer selection problems, using modern machine learning and huge, messy datasets to shape how millions of customers are priced and selected.

The Company

They are a well-established UK general insurance provider with a strong focus on car, van, bike and home insurance. Data science and analytics sit at the core of their strategy, supported by significant investment in cloud technology and digital platforms. Their pricing and data science capability is regarded as one of the strongest in the UK insurance market. You will join a profitable, tech enabled organisation with the scale, data and backing to do cutting edge work.

The Team

You will join a specialist Alternative Pricing Product team that sits alongside a core pricing function. It is a small, collaborative team of around six people, where you will provide technical leadership and mentor a graduate data scientist.

The Role

As a Senior Data Scientist, you will:

• Focus on pricing and customer selection for car and van insurance within the Alternative Pricing Product team.
• Build predictive models that identify new ways to set prices and select customers, beyond traditional pricing approaches.
• Work with very large, messy datasets across multiple product lines, leading data exploration, cleaning and feature engineering.
• Deploy models into production using Python, SQL, Azure ML and an internal deployment platform.
• Collaborate with pricing, risk and product stakeholders to test ideas, run experiments and influence pricing strategy.
• Mentor junior team members and contribute to setting technical standards within the team.

Your Skills And Experience
You will bring:

• Strong commercial experience as a Data Scientist or in a similar analytics role working on predictive modelling.
• Hands on experience building and deploying machine learning models using Python and SQL, ideally in a cloud environment such as Azure.
• Practical experience with tree based methods such as XGBoost or CatBoost, and an interest in geospatial or graph based modelling.
• Confidence working with large scale, messy, multi source datasets, including complex data cleansing and feature engineering.
• Experience solving pricing, risk or customer prediction problems and understanding how models drive profit, loss and customer outcomes.

How To Apply

If you are interested in this Senior Data Scientist opportunity in Alternative Pricing, please apply with your CV to be considered for the next stage of the process.