Graduate Data Science Actuarial Analyst Programme

If you’re looking to combine a career in actuarial science with the exciting world of data science and artificial intelligence, Swiss Re’s Graduate Programme offers an exceptional opportunity. Starting September 2026, this 18-month programme in London is designed to help graduates build a career at the intersection of risk, analytics, and technology.

Swiss Re is one of the world’s leading reinsurance companies, helping businesses and societies anticipate and manage risks – from natural disasters to cyber threats. As a graduate, you won’t just be starting a job; you’ll be joining a global leader that is shaping the future of insurance and risk management.

The Graduate Programme is open to individuals with up to three years of professional experience who hold a Bachelor’s, Master’s, or PhD in a quantitative discipline such as Actuarial Science, Statistics, or Mathematics.

Graduate Data Science Role

As a Data Science Actuarial Analyst, you will act as an internal consultant, applying both classical actuarial methods and cutting-edge AI solutions. Your work will include:

• Designing and running hands-on workshops to equip actuarial teams with programming and data science skills

• Developing AI-powered tools to improve actuarial models and decision-making processes

• Providing expert input on modeling and analytics projects

• Establishing best-practice guidelines in programming, statistics, and AI

• Building collaborative networks across the company to promote innovation

• Partnering with IT teams to support infrastructure and technology development

You will join Swiss Re’s AI & Technology team, part of the Model Development & Analytics division. This group is responsible for advancing generative AI and technology adoption across the business and reports directly to the Group Chief Actuary.

Graduate Data Science Requirements

Swiss Re is seeking ambitious, curious, and motivated graduates who want to make an impact. Key requirements include:

• A degree in a quantitative field (Actuarial Science, Statistics, Mathematics, or similar)

• A strong interest in pursuing professional actuarial qualifications (e.g., Fellowship with the Institute and Faculty of Actuaries)

• A willingness to learn programming in R and other data science tools

• An understanding of statistical modeling, machine learning, and AI methodologies

Additional skills such as knowledge of generative AI, natural language processing, or collaborative coding tools will make you stand out even more.

What You’ll Gain

• Hands-on experience in a global reinsurance company

• Structured training and mentorship tailored to your career growth

• The chance to work on high-impact projects that combine actuarial expertise with modern AI technologies

• A strong foundation for a successful career as a qualified actuary with a data science edge

How to Apply

Applications will be open for at least two weeks, and candidates will hear back no later than mid-November 2025. Salary details are shared during the interview stage.

Apply Here