Lead Data Scientist

We are looking for a Lead Data Scientist to join our Core Pricing team and contribute to building and scaling next-generation risk models. The role involves leading a team of data scientists, fostering a culture of collaborative experimentation, and defining coding standards and best practices.

Requirements

• Bachelor’s or Master’s degree in Statistics, Mathematics, Actuarial Science, Data Science or related field
• At least 5 years proven experience in insurance pricing and applied ML, including leading projects and people
• Strong Python programming skills, with experience in developing and maintaining analytics packages and tools
• Proficient in SQL, particularly with cloud data warehouses like Snowflake
• In-depth knowledge of GLMs and other machine learning algorithms
• Familiarity with cloud-based data platforms (we’re on AWS) and data visualisation tools (Looker, matplotlib, seaborn)
• Experience with version control systems (e.g., Git), CI/CD pipelines, and software development best practices in a data-intensive environment

Benefits

• Market-competitive salary
• Private medical insurance
• Company share options
• Generous holiday allowance
• Wellbeing benefits
• Annual flexible hybrid working contribution