Data Science & Gen-AI Intern

This is an exciting opportunity to be part of Munich Re’s Regional AI/Analytics Team (RAC) in Singapore for an internship between June to December 2026. This role is designed for aspiring talents interested in the intersection of data science and next-generation AI technologies. You will be part of a dynamic, cross-functional team supporting Munich Re’s Life and Health business across Asia-Pacific, the Middle East, and Africa. The internship offers hands-on exposure to cutting-edge AI tools—including large language models (LLMs)—and their real-world applications in insurance. 

Your Role 

• Collaborate with the regional analytics team to design, test, and evaluate Gen-AI solutions that support business functions such as underwriting, claims, and operations. 

• Explore and implement prompt engineering strategies for LLMs to address insurance-specific use cases. 

• Support the enhancement of OCR and Document AI capabilities, including layout parsing, visual document analysis, and structured data extraction. 

• Contribute to building datasets, experimenting with RAG pipelines, agentic AI frameworks, and refining prompts to improve model performance. 

• Write clean, modular Python code to develop data pipelines, model prototypes, or Gen-AI system integrations. 

• Assist in evaluating model performance and iteratively improve system robustness and reliability. 

• Work alongside actuaries, data scientists, and domain experts across the APAC, Middle East, and Africa regions. 

• Support documentation, technical presentations, and high-quality demos for internal and external stakeholders. 

Your Profile 

• Pursuing a Bachelor’s or Master’s degree in Data Science, Computer Science, Artificial Intelligence, or a related technical field. 

• Familiar with generative AI tools (e.g., ChatGPT, Gemini, or open-source LLMs) and the basics of prompt engineering. 

• Strong interest or foundational knowledge in OCR, LLMs, and agentic AI frameworks. 

• Proficient in Python; familiarity with SQL and/or JavaScript is a plus. 

• Experience using or building demos with Streamlit, Gradio, or modern web frameworks like React or Vue. 

• Curious, self-motivated, and eager to learn in a rapidly evolving AI landscape. 
  
  

At Munich Re, we embrace, and value, the interaction of diverse backgrounds, experiences, perspectives and thought. This interaction is our foundation. Of our open culture and spirit of partnership. Of how our teams are built and cultivated. Of how we are supported and developed. And at the centre of this interaction is each of us