Remote Data Scientist

Found in: Jooble CA O C2 - 2 weeks ago

Toronto ON, Canada Farm Mutual Re Full time

Farm Mutual Re. Join the Ontario Mutual Automobile Plan (OMAP) team and experience the passion it takes to empower and advance our mutual insurance community
We have an excellent opportunity to join one of Waterloo Region’s top employers as a Data Scientist (telematics) in our Ontario Mutual Automobile Plan (OMAP) department. OMAP is a department which provides product, underwriting, actuarial, regulatory, and systems support to a group of Ontario Mutual Insurance Association (OMIA) companies that underwrite automobile insurance in Ontario and have elected to do a common filing with the Financial Services Regulatory Authority (FSRA). This group of 30 mutual insurance companies writes a combined annual automobile insurance premium base of approximately $300M.
The Data Scientist will report directly to the VP of the Ontario Mutual Automobile Plan (OMAP). The successful individual will be a pivotal member of the department, responsible for developing and maintaining processes around data extraction, cleaning, and analysis aligned to industry best practices. Auxiliary responsibilities include supporting implementation of a telematics product for auto insurance, supporting the Business Analyst with auto insurance rate testing to ensure charged rates align to rates filed with the regulator and with communicating technical requirements of Auto Insurance rate and rule changes with IT and System Vendors.
In-office frequency is usually 2-3 days per month.
Perform data analysis, statistical modeling, and maintain and update internal & external datasets
Extract, clean, and present data via dashboards for Business, Product, Underwriting, and Actuarial teams
Support implementation and ongoing performance monitoring of our telematics product for Auto Insurance
Assist the Business Analyst with auto insurance rate testing, communicating technical requirements and rule changes with IT and system vendors, and determining technology needs for Telematics and future insurance initiatives
Maintain, test, and implement new insurance solutions
You have a Bachelor’s degree, preferably majoring in Computer Science, Mathematics, or another related field with exposure to data preparation and analysis
You have a minimum of three years’ experience in a Data Scientist or related role. Prior auto insurance experience would be a significant asset
Experienced in a variety of data processing and programming languages, primarily R and including any of SQL, VBA, C-based languages, Python, etc.
You have a track record of working with large datasets (hundreds of variables on millions of data points)
You are very proficient using spreadsheets and business intelligence tools and creating dashboards
You possess strong communication skills, including presenting data to non-technical audiences
Recognized as one of Waterloo Area’s Top Employers 2023 as well as one of Canada’s Greenest Employers 2023, at Farm Mutual Re we are committed to inclusion for all and cultivating belonging where everyone can be their authentic and best selves.
Operating since 1959, Farm Mutual Re is a general reinsurer, sharing in the property, automobile, liability, and other risks originally accepted by insurance companies operating principally in Canada.
Our relationships are the foundation that helps us advance the mutual insurance community. We take pride in giving back to our community and the environment. Our office is in Cambridge, Ontario off the 401 in a state-of-the-art, environmentally friendly building. Our employees enjoy perks including complimentary access to an on-site gym, a variety of fitness classes and wellness sessions, as well as the flexibility to work remotely as we embrace the modern hybrid work environment. In addition to a great working environment, we invest in our employees continued professional development, offer a competitive salary, employer-paid benefits, pension plan and more.
Visit our website and complete our Employment Application found on our Careers page.

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