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Intern Consultant Data Science and AI (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 and artificial intelligence to drive decision-making and enhance operational efficiency.

Within DAA1, the Central Analytics department focuses on both enabling Munich Re’s organization for AI as well as driving implementation of important projects: We provide strategic and operational guidance to our business units, support the implementation of use cases for internal and external clients, and design, organize and implement various courses in our Data & AI Academy for internal colleagues. Additionally, we drive central strategic projects as the CDAIO office of Munich Re.

 

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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.