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New York, United States
Internship
Hybrid
Intern
Munich Re is the world’s leading reinsurance company, focusing on turning uncertainty into manageable risk. The Data Science Intern will support the development of machine learning techniques and collaborate with various teams to enhance business decisions and operational efficiency.
Apply NowResponsibilities
- Supporting the development of statistical and machine learning techniques to assist with building models for underwriting, pricing, and claims management
- Assist in building and implementing solutions that enable operational units to improve quality and speed of core processes in order to generate incremental revenue or reduce expense
- Help research new ways of modeling data to unlock actionable insights or improve processes
- Collaborate across Munich Re functions to understand how analytics can influence business decisions
- Network with existing data science groups at Munich Re
Qualification
Required
- Undergraduate or Graduate degree in Computer Science, Statistics, Data Science/Analytics, Applied Mathematics, Engineering (Physics, Bioinformatics) – or equivalent program offering coursework manipulating large datasets
- Familiarity working with analytics through the modeling lifecycle including gathering data, design, recommendations, testing, implementation, communication, and revisions
- Familiarity with advanced predictive analytic techniques
- Experience working with any of the following: SQL, Python, or R (familiarity with multiple languages considered an asset)
- Solid communication skills; spoken & written, formal/informal presentation
- Resourceful and able to learn quickly
- Proven ability to thrive in a dynamic environment
Preferred
- Familiarity with big data technologies (ex: Apache Spark, +, etc) and deep learning models (such as tensorflow)
- Previous exposure to insurance or financial services environment is preferred but not required
Benefits
- Flexible remote/in-person work + focus on work-life balance