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Data Scientist

Farm Mutual Re

Ontario

Hybrid

CAD 80,000 - 120,000

Full time

9 days ago

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Job summary

A leading company in the mutual insurance sector is seeking a Data Scientist to join their Ontario Mutual Automobile Plan team. This role involves developing data processes, supporting product implementation, and performing statistical analysis in a hybrid work environment. Candidates should have a strong background in data science and relevant technical skills, as well as a commitment to the company's values of inclusion and community support.

Benefits

Gym access
Wellness sessions
Flexible remote work
Professional development
Competitive salary
Benefits
Pension

Qualifications

  • At least three years’ experience as a Data Scientist or similar role.
  • Experience with large datasets.
  • Auto insurance experience is a plus.

Responsibilities

  • Develop and maintain data extraction scripts, datasets, and dashboards.
  • Perform statistical modeling on auto insurance products.
  • Assist with rate testing and technical communication with IT and vendors.

Skills

R
SQL
VBA
Python
Statistical modeling
Data analysis
Communication

Education

University degree in Computer Science, Mathematics, or related field

Tools

BI tools
Spreadsheets

Job description

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 in our Ontario Mutual Automobile Plan (OMAP) department. This position offers a chance to be part of a culture that values honesty, promises, and doing what is right.

OMAP provides product, underwriting, actuarial, regulatory, and systems support to Ontario Mutual Insurance Association (OMIA) companies that underwrite automobile insurance in Ontario and file collectively with the Financial Services Regulatory Authority (FSRA). This group of 30 mutual insurance companies writes an annual automobile insurance premium of approximately $350M.

The Data Scientist will report directly to the VP of OMAP and will play a key role in developing and maintaining data processes, supporting telematics product implementation, assisting with auto insurance rate testing, and communicating technical requirements to IT and vendors.

This role offers a hybrid work schedule, typically 2-4 days per month in-office.

The Role :

  • Develop and maintain data extraction scripts, datasets, and dashboards
  • Extract, clean, and analyze data for various departments
  • Perform statistical modeling on auto insurance products
  • Support the implementation and monitoring of insurance products
  • Assist with rate testing and technical communication with IT and vendors
  • Identify technology needs for future initiatives
  • Document and streamline technology processes

Your Skills and Qualifications :

  • University degree in Computer Science, Mathematics, or related field
  • At least three years’ experience as a Data Scientist or similar role; auto insurance experience is a plus
  • Proficiency in R, SQL, VBA, Python, or similar languages
  • Experience with large datasets
  • Skilled in spreadsheets, BI tools, and dashboard creation
  • Strong communication skills, able to present to non-technical audiences

Join Our Team!

Recognized as Waterloo Area’s Top Employer 2025 and Canada’s Greenest Employer 2025, Farm Mutual Re is committed to inclusion, belonging, and supporting our community and environment.

Since 1959, we have been a reinsurer specializing in property, automobile, liability, and other risks primarily in Canada.

We offer a supportive work environment with perks such as gym access, wellness sessions, flexible remote work, professional development, competitive salary, benefits, and pension.

How to Apply :

Visit our website and complete the Employment Application on our Careers page to apply.

Farm Mutual Re values diversity and inclusivity. If you require accommodations during the recruitment process, contact recruitment@farmmutualre.com.

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