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- Tasks: Upskill teams in AI and data science while developing innovative solutions for actuarial modelling.
- Company: Join Swiss Re, a global leader in reinsurance and risk management.
- Benefits: Gain hands-on experience, tailored training, and a chance to shape your future.
- Other info: Collaborative environment with opportunities for professional growth and global reach.
- Why this job: Make a real impact in the insurance industry with cutting-edge technology and AI.
- Qualifications: Degree in a quantitative field and eagerness to learn programming and data science.
The predicted salary is between 36000 - 60000 £ per year.
Overview
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.
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
Nice to have
- 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.
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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
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Data Science Actuarial Analyst - Graduate employer: Swiss Re
Contact Detail:
Swiss Re Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Actuarial Analyst - Graduate
✨Network Like a Pro
Get out there and connect with people in the industry! Attend events, join online forums, and don’t be shy about reaching out on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Show Off Your Skills
When you get the chance to chat with potential employers, make sure to highlight your skills and experiences. Share specific examples of projects you've worked on, especially those involving AI or data science. We want to see how you can bring value to the team!
✨Prepare for Interviews
Do your homework before interviews! Research the company, understand their values, and think about how your background fits into their mission. We love candidates who are genuinely interested in what we do, so show us you’re excited about the role!
✨Apply Through Our Website
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows us you’re serious about joining our team and making an impact in the reinsurance world.
We think you need these skills to ace Data Science Actuarial Analyst - Graduate
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Data Science Actuarial Analyst role. Highlight any relevant projects or coursework that showcase your quantitative abilities and tech-savviness.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to express your curiosity and motivation for the role. Share why you’re excited about AI in the insurance industry and how you can contribute to our team.
Showcase Your Skills: Don’t forget to mention your programming skills, especially in R or any other languages you know. If you have experience with statistical modelling or machine learning, make sure to include that too!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details you need about the role and our company!
How to prepare for a job interview at Swiss Re
✨Know Your Stuff
Make sure you brush up on your knowledge of statistical modelling, machine learning principles, and data science methodologies. Be ready to discuss how these concepts apply to the role and how you can use them to solve real-world problems in reinsurance.
✨Show Your Curiosity
Demonstrate your curiosity and eagerness to learn during the interview. Ask insightful questions about the company's AI initiatives and how they integrate technology into their actuarial processes. This shows you're genuinely interested in the role and the industry.
✨Communicate Clearly
Since strong communication skills are key for this position, practice explaining complex technical concepts in simple terms. Think about how you would present your ideas to someone without a technical background, as this will be crucial when working with diverse teams.
✨Highlight Teamwork
Be prepared to share examples of how you've collaborated with others in past projects. The role involves building a collaborative community, so showcasing your ability to work well in teams and coordinate with different departments will set you apart from other candidates.