AI & Data Science Intern - Finance Transformation (m/f/x/d, 60-100%)

About

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. With more than 15,000 employees worldwide, Swiss Re anticipates and manages a wide variety of risks, from natural catastrophes and climate change to cybercrime. 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, and is actively exploring how AI and advanced analytics can elevate the quality, efficiency and forward-looking nature of its reporting capabilities. 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. Recently completed, or close to completing, a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Finance Analytics or a related field. Strong interest in AI, data science, business performance and ideally insurance or reinsurance. Familiarity with Generative AI, large language models (LLM), NLP or AI assistant concepts. Solid foundation in data analytics and programming, for example Python, SQL or similar tools. Ability to translate business questions into analytical approaches and clear insights. Curious, structured and proactive, with the confidence to challenge existing ways of working constructively. Comfortable working in a fast-paced, cross-functional environment. Nice to haves: experience with machine learning frameworks and model development; exposure to Power BI, Palantir Foundry, copilots, chatbots or workflow automation tools. Note: non-EU/EFTA and UK citizens must provide a certificate from a Swiss university confirming that an internship is integral to their course of study. A hands-on opportunity to apply state-of-the-art AI and data science thinking to real business challenges in Finance at a global reinsurance leader. Exposure to global Finance processes, modern data platforms and advanced analytics tools while contributing to use cases with direct business impact. A collaborative environment where Finance, data and technology expertise come together, with space to think independently and bring fresh ideas. The internship runs for 3 to 5 months (approximately 13 to 22 weeks) at 60-100% pensum, with a start date as soon as possible or by mutual agreement. Opportunity to accelerate a career in AI, analytics and Finance within an inclusive and flexible workplace that values diversity and equal opportunities.

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