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# Senior Data Scientist - Telematics

- **Company:** Hastings Direct
- **Location:** London, UK
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Python (Programming Language), Machine Learning, SQL Databases, Cloud Platform System, Scikit Learn
- **Published:** July 15, 2026
- **Apply:** https://uk.indeed.com/viewjob?jk=378757a6aec6d3fd

## About the Role

We are looking for a Data Scientist with experience in developing solutions to novel problems and a desire to drive innovation in the insurance industry., * Proficiency in Python and experience with ML libraries for building and deploying machine learning solutions in cloud environments.

 * Experience using SQL.
 * Ability to communicate and collaborate across teams of Data Scientists, Data Engineers, ML Engineers, Operational and Commercial stakeholders.

Personal Attributes

 * Technical competence complemented by broader business understanding.
 * A problem-solver who enjoys building creative solutions to complex real-world challenges.
 * Able to work independently, with support where needed, and collaboratively.
 * Curious, willing to challenge received wisdom and explore emerging techniques.
 * We recognise that no candidate will meet every requirement. If you're excited about the role and feel you could add value, we'd love to hear from you.

## Description

The Data Scientist will design and build cutting-edge features and predictive models that generate value across Hastings products. You will also use these models and data assets to improve risk selection both at point-of-quote and in-life.

This role is within our new Telematics Data Value team, comprising data scientists, analysts, and engineers. We work to turn our telematics data into underwriting advantage - which enables market-beating prices for customers.

Key Accountabilities:

 * Develop best in-class ML models to predict claims outcomes, fraud and other risk KPIs, including developing novel features from raw telematics data.

 * Collaborate with ML Engineers to deploy ML models.
 * Monitor deployed ML models and link performance to commercial and customer outcomes.
 * Present your work to Operational and Commercial stakeholders.
 * Explore new technologies and contribute to setting team's best practices.


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