Are you excited by the potential of AI to change how Finance works? Do you enjoy questioning existing processes, spotting opportunities and turning ideas into practical solutions?
We are looking for a curious and motivated early-career Data Scientist to help us identify, prototype and implement AI and automation use cases across P&C Re Finance at Swiss Re.
This role is designed to bring a fresh perspective into Finance. You will not be focused on day-to-day reporting activities. Instead, you will look at existing processes, deliverables and ways of working with fresh eyes, explore where AI and data science can create value, and help build solutions that make Finance more efficient, insightful and forward-looking.
Key Responsibilities
- Identify and evaluate opportunities to simplify, automate or enhance finance processes and reporting deliverables
- Develop and prototype AI and analytics use cases — taking ideas from concept through to practical implementation
- Apply modern data science techniques, including Generative AI, NLP, and predictive analytics, to real business challenges
- Leverage internal and external data to uncover trends, performance drivers and forward-looking insights
- Build analytical datasets, data pipelines and prototypes that support scalable AI and analytics solutions
- Champion responsible, governed and high-quality use of data and AI across Finance
- Collaborate closely with Finance, data and technology colleagues to translate business questions into analytical approaches and clear insights
The P&C Re BU Global Reporting team sits at the heart of Swiss Re's Property & Casualty Reinsurance Business Unit, responsible for delivering high-quality financial reporting and performance insights across a global portfolio. The team plays a critical role in enabling informed decision-making by translating complex financial data into clear, actionable intelligence for senior stakeholders. With a growing focus on innovation, the team is actively exploring how AI and advanced analytics can elevate the quality, efficiency and forward-looking nature of its reporting capabilities.
You are a curious, structured and proactive individual who is eager to challenge existing ways of working and bring fresh, data-driven thinking into a Finance environment. You thrive in collaborative, cross-functional settings and are confident in turning ambiguous business questions into clear analytical approaches. You bring energy, intellectual curiosity and a genuine passion for AI and data science — and you're ready to make a tangible contribution from day one.
We are looking for candidates who meet these requirements:
- Recently completed, or are close to completing, a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Finance Analytics or a related field
- Have a strong interest in AI, data science, business performance and ideally insurance or reinsurance
- Are familiar with Generative AI, large language models (LLM), NLP or AI assistant concepts
- Have a solid foundation in data analytics and programming, for example Python, SQL or similar tools
- Enjoy translating business questions into analytical approaches & clear insights
- Are curious, structured and proactive, with the confidence to challenge existing ways of working constructively
- Curious, structured, and eager to learn in a fast-paced, cross-functional environment
These are additional nice to haves:
- Experience with machine learning frameworks and model development
- Exposure to Power BI, Palantir Foundry, copilots, chatbots or workflow automation tools
What We Offer
This is a hands-on opportunity to apply state-of-the-art AI and data science thinking to real business challenges in Finance. You'll gain exposure to global Finance processes, modern data platforms and advanced analytics tools while contributing to use cases with direct business impact.
You'll join a collaborative environment where Finance, data and technology expertise come together, with space to think independently, bring fresh ideas and accelerate your career in AI, analytics and Finance.
The start date is as soon as possible or upon mutual agreement, with an internship duration of 3-5 months.
We look forward to receiving your application!
Note for non-EU/EFTA and UK citizens: Due to immigration regulations, you must provide a certificate from a Swiss university confirming that an internship is integral to your course of study. Please submit this mandatory letter with your application documents.
The base salary range for this position will be shared with you during the interview process.
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 15,000 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.
We may use AI-powered tools to support the review and evaluation of applications for this position. These tools provide additional insights to our recruitment teams, but all hiring decisions are carefully reviewed and made by people. To learn more about how we use AI in recruitment and how we handle your personal data, please review our Data Privacy Statement before applying.
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