Data Scientist

Overview

In this Data Scientist role, you will help design, develop and deploy predictive models to support Hastings’ pricing strategy. You’ll work with a team of data scientists applying ML techniques to leverage large customer data to improve forecasting accuracy. Your work will span model development, production integration, and ongoing monitoring to ensure reliability. You’ll build reusable tooling and data features to enable scalable, trackable modelling. This is an opportunity to shape pricing outcomes in a fast-growing, tech-enabled insurer while operating in a hybrid setup across London, Bexhill, or Leicester.

Pay / Benefits

• Flexible working
• Competitive bonus scheme
• Life assurance and income protection
• Matched pension contributions
• Mental wellbeing programme
• 25 days annual leave

Responsibilities

• Develop and support predictive models to assess insurance risk and inform pricing and underwriting decisions
• Contribute to the integration of models into production systems and support their ongoing monitoring and maintenance
• Develop, maintain and improve reusable tools, pipelines and processes that enable efficient, reliable and reproducible modelling
• Identify, assess and prepare new data features, evaluating their predictive value, stability, interpretability and potential impact on customer pricing outcomes

Key requirements

• Experience building and evaluating predictive models such as linear and gradient boosted models
• Proficiency using Python and appropriate machine-learning libraries
• Proficiency in SQL, including preparing and transforming data for predictive modelling
• Basic knowledge of Git or other code version control systems
• Strong communication skills and time management skills
• Demonstrable experience delivering data science solutions that have influenced business decisions and generated measurable commercial value

• Strong communication
• Time management
• Independent delivery
• Python and ML libraries
• SQL
• Git or version control

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