Location: London, GB
Launch your career with impact!
We’re looking for curious, motivated graduates with strong people skills who want to grow, learn, and make a difference. If you hold a Bachelor’s, Master’s, or PhD and have up to three years of professional experience, apply to our 18-month Graduate Programme starting 1 September 2026.
You’ll gain hands-on experience in the fast-paced world of reinsurance, rotate into a different team, and receive tailored training to build your expertise. This is your chance to shape your future – and help protect societies from the world’s most complex risks.

WE ARE LOOKING FOR CANDIDATES WHO MEET THESE REQUIREMENTS:

• A university degree in a quantitative field such as Actuarial Science, Statistics, Mathematics, or a related discipline with quantitative components
• Commitment to pursue professional actuarial qualifications such as Fellowship to the Institute and Faculty of Actuaries
• Demonstrated ability to quickly grasp new concepts and develop practical solutions
• Experience or strong willingness to learn R and other programming languages/frameworks
• Understanding of statistical modelling, machine learning principles, and data science methodologies

As a Data Science Actuarial Analyst, you’ll work as an internal analytics and technology consultant, collaborating with teams across our global organisation to solve complex challenges through AI-driven approaches and data science methodologies. You’ll be at the forefront of implementing cutting-edge actuarial and (generative) AI solutions to transform our business.

Key responsibilities

• Upskill users through tailored, hands-on workshops helping actuarial teams implement best practice programming, AI applications, and develop data science skills
• Develop and deploy classical and modern AI solutions that enhance actuarial modelling and decision-making processes
• Provide strategic consulting on modelling, AI, and data analytics projects, supporting implementation of key technology initiatives
• Develop and maintain best practice guidelines for AI use and implementation, programming, statistical modelling, data science, and communication
• Build and nurture a collaborative community focused communication, actuarial modelling, data science, and analytics
• Coordinate with InfoTech teams on infrastructure and technology projects to maintain and enhance our technical capabilities