AI & Data Science Intern - Finance Transformation; m​/f​/x​/d, CH

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

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.

• 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

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,…