Intern - Data, Analytics and AI

Munich Re Group is one of the world’s leading providers of reinsurance. As pioneers in risk assessment, we drive the digital transformation of the global insurance landscape, expanding products and services as new forms of risk emerge. From space rocket launches to cyber-attacks, from high-net worth individuals to pandemics, we take care of risks so our clients can take care of their businesses.

DAA is a central Data, Analytics and AI function, supporting the business through data and AI strategy, governance, scalable technology platforms, AI solutions, and Data & AI training. It helps colleagues and business units apply data, analytics and AI technology responsibly and effectively to create measurable business value.

Your Role:

As an intern in DAA, you will play an important role in supporting AI adoption across regions.

• Support the Senior AI Specialist in designing and developing prototypes for AI solutions.
• Work closely with business owners, including underwriters, claims assessors, and support teams, to understand their needs and translate them into practical AI solutions.
• Apply technologies such as large language models to build customized generative AI solutions using Microsoft tools, including Copilot and Copilot Studio.
• Support the coordination of training sessions and AI community programs to foster collaboration and knowledge sharing.

Your Profile:

• Currently pursuing a degree in Computer Engineering or Computer Science.
• Basic knowledge in Python, data analytics and AI concepts.
• Strong interest in AI and Gen AI, and the practical application of AI in business.
• Good analytical and communication skills, and the ability to work with stakeholders in different units.
• Curious and willing to learn and experiment with new technologies.

This is a 3 to 6 months internship. You must be based in Singapore and able to work without any additional work visa.

We see DEI as a business imperative, helping us to attract, grow and inspire a diverse, inclusive, and equitable workforce that better enable us to serve our customers, investors, and communities. Globally, we strive to build balanced teams across all aspects of difference. If you are interested in the role and believe you could contribute, we encourage you to apply even if your experience doesn't perfectly match every qualification.