Munich Re is building solutions that are transforming the life insurance industry by leveraging decades of risk data, novel data sources, and a team of innovative data scientists, engineers, and domain experts to promote longer and healthier lives.
Requirements
- 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).
- 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.
Responsibilities
- 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.
Other
- We’re looking for well-rounded individuals who are technically astute, have strong communication skills, and demonstrate the ability to build positive relationships with internal clients.
- We’re seeking energetic and collaborative professionals who are excited to join our winning team and show promise of becoming a future leader in the data science space.
- Solid communication skills; spoken & written, formal/informal presentation;
- Resourceful and able to learn quickly;
- Proven ability to thrive in a dynamic environment.
