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Intern Artificial Intelligence (m/f/d)*

Firma
Munich Re
Standort
München , Deutschland

Are you passionate about Machine Learning and eager to develop cutting-edge AI solutions that shape the future of Munich Re and the insurance industry? Do you thrive on learning and tackling new technical challenges in a business context? If so, this internship is perfect for you!

The Data and Analytics division (DAA1) is Munich Re's hub for data, analytics, and AI-driven innovation. DAA1 leverages big data, advanced analytics, and artificial intelligence to drive decision-making and enhance operational efficiency. Within DAA1, the Artificial Intelligence department focuses on developing and deploying AI technologies across Munich Re's operations, including machine learning, natural language processing, predictive analytics, and AI-driven automation to optimize decision-making, customer experiences, and risk management. We collaborate closely with other business units, providing AI expertise, tools, and support.

 

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Students from countries outside the EU require a German residence-/work permit.

 

About us

As the world's leading reinsurance company with more than 11,000 employees at over 50 locations, Munich Re introduces a paradigm shift in the way you think about insurance. By turning uncertainty into a manageable risk we enable fundamental change. Join us working on topics today that will concern society tomorrow, whether that be climate change, major construction projects, medical risk assessment or even space travel.

Together we embrace a culture where multiskilled teams dare to think big. We create the new and the different for our clients and cultivate innovation. Sounds like you? Push boundaries with us and be part of Munich Re. Our employees are our greatest strength. That’s why we offer them a wide range of benefits.

 

Unlock your potential

 

 

Münchener Rückversicherungs-Gesellschaft

Silke Rößler/Oksana Kern • Coordination Students Program
Königinstraße 107 • 80802 München • GERMANY

 

* Munich Re not only stands for fairness with regard to its clients; it is also an equal opportunity employer. Severely disabled candidates will also be prioritised, if equally qualified.