Engineering Intern, NA Integrated Analytics (2027 Summer - New York)
Munich ReAbout the role
POSITION: Engineering Intern, NA Integrated Analytics (2027 Summer - New York) LOCATION: New York, NY ANTICIPATED START DATE: Summer 2027
Together, we engage with everything we have and are, to help humankind act braver and better. As the world’s leading reinsurance company with more than 40,000 employees in over 50 locations around the globe, Munich Re introduces a paradigm shift in the way you think about insurance. By turning uncertainty into manageable risk, we enable fundamental change. We recognize Diversity, Inclusion, and Belonging as a key priority with a culture that welcomes different thoughts and opinions. We dare to think big and are continuously innovating on behalf of our clients. How can ML promote longer and healthier lives? Armed with decades of risk data, novel data sources, and a team of innovative scientists, engineers, and domain experts, Munich RE is building solutions that are transforming the life insurance industry.
Develop solutions that allow easier access to insurance and healthier lifestyles Build highly scalable products with best security, ML, DevOps practices Research bias and fairness, disease models, NLP & more Discover diverse careers with leadership opportunities Flexible remote/in-person work + focus on work-life balance Be part of a fast-growing team that values transparency & diversity
To learn more about the North American Integrated Analytics team, please visit our site: https://www.munichre.com/us-life/en/digital-solutions.html
Our internship placements provide you with an excellent opportunity to practically apply your classroom and technical training in the reinsurance industry. While with our team, you’ll be; coached by experienced industry professionals, exposed to Munich Re leadership, challenged as a valuable team member and contributor doing meaningful work, and mentored to develop a solid foundation that will help position you as a future leader in the field.
Position Overview
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