Data Science & Gen-AI Intern

Munich Re is one of the world’s leading reinsurance companies, with over 11,000 employees across more than 50 locations worldwide. Every day, we tackle the challenges that will shape society’s future — from climate change and major infrastructure projects to gene technology and even space exploration. 

Your Role 

Predictive Modeling & Generative AI Development

• Build predictive models using machine learning techniques for business insights and decision-making.
• Design and develop generative AI solutions to automate workflows and improve operational efficiency.
• Implement multimodal AI capabilities to address real-world business use cases.
• Develop prototypes and applications using modern frontend and backend web frameworks.

Technical Implementation & Integration

• Develop REST APIs and integrate various AI services and tools.
• Work with vector databases and embedding-based search technologies.
• Write clean, modular Python code for AI system integration and data pipeline development.
• Support OCR and document AI functionalities, including layout parsing and structured data extraction.

Collaboration & Documentation

• Prepare technical documentation, presentations, and demos for internal and external stakeholders.
• Participate in the entire project lifecycle, from proof-of-concept to deployment and optimization.

Predictive Modeling & AI Development Experience

• Hands-on experience developing predictive models using machine learning methodologies.
• Familiarity with LLM/ML technologies and integration via APIs.
• Exposure to generative AI tools and multimodal AI applications.
• Experience with modern web frameworks (React, Vue) or backend tools (FastAPI, Flask).

Your Profile

• Pursuing a degree in Computer Science, Data Science, Software Engineering, or related technical fields.
• Strong foundation in algorithms, data structures, statistics, and software engineering principles.
• Proficient in Python and comfortable applying software development best practices in model development.
• Strong analytical and problem-solving abilities with a rapid-learning, iterative mindset.
• Clear and effective communication skills suitable for cross-functional collaboration.
• Self-motivated, hands-on, and eager to learn emerging AI/ML technologies.
• Comfortable working in fast-paced, collaborative environments.
• Intermediate level proficiency in reading and communicating in English.

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.