Data Science & Gen-AI Intern
Munich ReSingapore1 day ago
Part-timeInformation Technology
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This is an exciting opportunity to be part of Munich Re’s Regional AI/Analytics Team (RAC) in Singapore for a 6-month full-time internship starting in October 2025. 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
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.
- 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.
Key Skills
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