Data Science Actuarial Analyst - Graduate

Swiss Re; London; Hybrid; GBP 100,000 - 125,000; Full time

Job summary

A leading global reinsurance firm in London is seeking a Data Science Actuarial Analyst for its Graduate Programme. This 18-month role involves collaborating with teams to implement AI solutions and develop data science skills. Ideal candidates have a degree in a quantitative field and a strong commitment to professional development. Join us to shape the future of reinsurance while gaining invaluable experience.

Qualifications

• A university degree in Actuarial Science, Statistics, or Mathematics.
• Commitment to pursue professional actuarial qualifications.
• Ability to quickly grasp new concepts and develop practical solutions.
• Experience or willingness to learn R and other programming languages.
• Understanding of statistical modelling and data science methodologies.

Responsibilities

• Up-skill users through tailored workshops on AI applications.
• Develop and deploy classical and modern AI solutions.
• Provide strategic consulting on modelling, AI, and data analytics.
• Develop and maintain best practice guidelines for AI use.
• Build and nurture a collaborative community focused on data science.

Skills

Statistical modelling

Machine learning principles

Data science methodologies

R programming

Communication skills

Education

University degree in a quantitative field

Commitment to pursue professional actuarial qualifications

Tools

Data visualisation techniques

Job description

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.

About the Role

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

About the Team

The AI & Technology team within Model Development & Analytics Team drives Swiss Re\'s Atelier programme, spearheading generative AI and technology initiatives while empowering teams across the organisation to combine domain knowledge with programming, automation, data science, and communications skills. The team has global reach spanning both Life & Health and Property & Casualty business areas, reporting to the Group Chief Actuary.

About You

You\'re a curious, tech-savvy person who balances attention to detail with strategic thinking. Your strong communication skills allow you to translate complex modelling and technical concepts into practical solutions that create value. You\'re excited about the potential of artificial intelligence to advance the insurance industry.

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

These are additional nice to haves:

• Knowledge of (generative) AI models, natural language processing, or machine learning frameworks
• Knowledge of data visualisation techniques and tools
• Familiarity with (generative) AI concepts and applications
• Experience with collaborative coding and version control systems

The base salary range for this position will be shared with you during the interview process.

The application process is open for at least 2 weeks and if you do not hear from us within this time frame, it does not mean your application is ignored. We will get back to you latest by mid-November.

#LI-Hybrid

About Swiss Re

Swiss Re is one of the world’s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime. Combining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 14,000 employees across the world.

Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking. We embrace a workplace where everyone has equal opportunities to thrive and develop professionally regardless of their age, gender, race, ethnicity, gender identity and/or expression, sexual orientation, physical or mental ability, skillset, thought or other characteristics. In our inclusive and flexible environment everyone can bring their authentic selves to work and their passion for sustainability.

If you are an experienced professional returning to the workforce after a career break, we encourage you to apply for open positions that match your skills and experience.

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