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About the Role
This internship offers a practical application of classroom and technical training within the reinsurance industry. Interns will be coached by industry professionals, exposed to leadership, challenged as valuable team members, and mentored for future leadership roles in the data science field.
Responsibilities
- Gather a deep understanding of customer challenges through research and interaction with clients and internal partners, translating their complex problems into actionable questions for the team.
- Assist with prioritization and execution of the product backlog, ensuring delivery of high-impact features that strengthen market position.
- Partner closely with engineering teams, particularly the technical lead, to ensure successful implementation of product initiatives.
- Collaborate across departments (Sales, Customer Success, Engineering) to align on product direction and manage dependencies.
- Collaborate across Munich Re functions to understand how solutions address business needs.
- Network with related groups at Munich Re.
Requirements
- Undergraduate or Graduate degree in Business, Economics, Computer Science, or equivalent.
- Strong analytical, organizational, and time management skills.
- Ability to express complex ideas clearly and facilitate communication between clients and internal teams.
- Familiarity with cloud computing platforms (e.g., Microsoft Azure, AWS).
- Proficient in Excel, PowerPoint, Word, Power BI, SQL.
- Familiarity with modern software development lifecycle, the product operating model, and product management techniques.
- Solid communication skills; spoken & written, formal/informal presentation.
- Resourceful and able to learn quickly.
- Proven ability to thrive in a dynamic environment.
- Must be a current student returning to in-class studies upon completion of the internship.
Skills
- Analytical skills
- Organizational skills
- Time management skills
- Communication skills
- Cloud computing platforms (e.g., Microsoft Azure, AWS)
- Excel
- PowerPoint
- Word
- Power BI
- SQL
- Modern software development lifecycle
- Product operating model
- Product management techniques
Location
- New York, US
- New York, NY
Work Type
- Hybrid
- Internship
Experience Level
- Intern
Education Level
- Undergraduate degree
- Graduate degree
Salary/Compensations
- $44 - $54 per hour
Benefits
- Flexible remote/in-person work
- Focus on work-life balance
- Coached by experienced industry professionals
- Exposed to Munich Re leadership
- Challenged as a valuable team member and contributor doing meaningful work
- Mentored to develop a solid foundation for future leadership
About the Company
- Munich Re is the world's leading reinsurance company with more than 40,000 employees in over 50 locations globally.
- We introduce a paradigm shift in the way you think about insurance by turning uncertainty into manageable risk, enabling 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.
- Munich RE is building solutions that are transforming the life insurance industry using decades of risk data, novel data sources, and a team of innovative data scientists, engineers, and domain experts.
- The North American Integrated Analytics team develops solutions that allow easier access to insurance and healthier lifestyles, builds highly scalable products with best security, ML, DevOps practices, and researches bias and fairness, disease models, NLP & more.
Equal Opportunity
- At Munich Re US, we see Diversity and Inclusion as a solution to the challenges and opportunities all around us.
- Our goal is to foster an inclusive culture and build a workforce that reflects the customers we serve and the communities in which we live and work.
- We strive to provide a workplace where all of our colleagues feel respected, valued and empowered to achieve their very best every day.
- We recruit and develop talent with a focus on providing our customers the most innovative products and services.
- We are an equal opportunity employer.
- Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.