This role is within the Data Driven Underwriting (DDUW) Solutions Americas team under Swiss re L&H Solutions division. You will be joining the DDUW product team who is on a mission to create a best-in-class solution in underwriting for Life Insurance carriers to address the current industry pain points with disparate data sources in the US market. The team has diverse skillsets of experts from underwriting, and technology and the team work collaboratively with cross functional delivery teams across the globe.
About The Role:
As a Machine learning Engineering Intern, you will join a Product team of software engineers, underwriting experts and business leaders to work on a global strategic initiative to make better use of our data and enhance our ability to make data driven decisions. You will work closely with business partners to find opportunities for leveraging data to drive business solutions, understand the business problem and extract relevant trends and patterns from data.
You will also support the Analytics reporting tool creation which directly drives product insights.
About You:
Are you eager to disrupt the insurance industry with us and make an impact? Do you wish to have your talent recognized and rewarded? Then join our internal start-up squad and find an encouraging environment in which we aspire for client delight and make it happen for Solutions!
Position Requirements:
Opportunities:
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.
#J-18808-LjbffrMachine Learning Engineering Intern • Toronto, Ontario, CA
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