Insurity is a leading property and casualty insurance software and data analytics provider, working with some of the world’s largest insurers, brokers, and MGAs, including 15 of the top 25 P&C carriers in the US. With 900+ team members globally, 10 office locations, and 300+ customers, we have a deep understanding of the insurance business, unparalleled technology expertise, and a singular focus of delivering a simplified insurance experience to our customers.
Our Data Scientist will be an integral part of Insurity Analytics, working closely and collaboratively with insurance domain authorities, data analysts, engineers, and customers. They will develop highly robust predictive models that provide significant and measurable results for our customers. Additionally, they will partner with the sales and marketing teams to perform then deliver modeling proofs-of-concept & retro-tests, as well as help craft and deliver compelling product performance reads, product & concept education, and value proposition messaging.
Location: This role will be Remote-US based.
Collaborative Culture | Flexible Hours | Growth Opportunities
Does Insurity sound like the right place for you? Send us your application and a cover letter highlighting what sets you apart from the nice-to-haves and makes you a must-have for our team!
Thank you for your interest in Insurity! Please understand that due to the volume of applicants we receive, only selected candidates will be contacted.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Insurity looks for a Data Scientist in Remote location.
The proposed salary for Data Scientist Jobs position at Insurity is Not disclosed.
According to the common industry standard, Data Scientist Jobs specialist is in charge for the following activities.
To be disscussed with candidate
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