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Location: 

Armonk, NY, US

Data Science Intern

About Swiss Re

 

Swiss Re is one of the world’s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime. We cover both Property & Casualty and Life & Health. Combining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 14,000 employees across the world.

Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking. We embrace a workplace where everyone has equal opportunities to thrive and develop professionally regardless of their age, gender, race, ethnicity, gender identity and/or expression, sexual orientation, physical or mental ability, skillset, thought or other characteristics. In our inclusive and flexible environment everyone can bring their authentic selves to work.

 

 

About the team

The Products Underwriting business function is the driving force behind product development and underwriting excellence at Swiss Re. It encompasses the Property & Specialty, Casualty and Life & Health divisions. It also deploys Swiss Re's knowledge and expertise to promote underwriting excellence and to provide standard criteria for risk pricing in life and non-life business. The Data Science Intern will work within Treaty Casualty Products under the guidance and direction of the units' most Senior Actuaries. This project team's mandate is to continuously improve the quality and depth of our actuarial analysis through the establishment of a robust data library that will aid in parameter development. The Data Science Intern will support the team by making data more accessible for analysis. This includes but is not limited to understanding the problem, identifying relevant data sources, obtaining data of various shapes and forms, automating data processing, and extracting insights. The candidate will also work on one of a number of research projects using the data already collected by the company and potentially integrating forward-looking predictive analysis where no prior data is available. For example, identifying, interpreting and quantifying economic, societal, legal, regulatory or other factors that will influence Casualty business. You will gain a good understanding of how actuarial and other data are used to price our products (treaties covering portfolios of original insured policies) as well as learn about a specific insurance product/coverage. You may also have the opportunity to test and develop pricing models and tools. In addition to working with the unit's Senior actuaries, you may engage with others in the team including senior underwriters, claims professionals and portfolio managers to accomplish your objectives. Overall this is an excellent opportunity for a candidate aspiring to a career in the (re)insurance analytical, actuarial, or potentially underwriting disciplines.

 

About You

• Pursuing a Master's degree (or Ph.D.) in Computer Science, Statistics, Mathematics, or a similar quantitative discipline

• Experience using statistical software such as Python and R to perform analysis

• Experience with web scraping and processing unstructured data of different formats

• Experience with NLP is a strong plus

• Friendly and motivated; ability to work in a team setting, meet deadlines, and present findings

• Exceptional academic performance (minimum 3.5 GPA)


Keywords:  
Reference Code: 119873 

 


Nearest Major Market: White Plains
Nearest Secondary Market: New York City

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