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Data Scientist (Remote / Hybrid)

Date: May 15, 2022

Location: Toronto, ON, CA, M2P-2B7 Calgary, AB, CA, T2R-0E4 Regina, SK, CA, S4S-6X3 Hull, Quebec, CA, J8Y-3Y7 Kitchener, ON, CA, N2G-1H6 Montreal, Quebec, CA, H4P-2J4 Moncton, New Brunswick, CA, E1E-4R5 Saskatoon, SK, CA, S7H-0W5 Vancouver, British Columbia, CA, V6J-4Y3 Edmonton, AB, CA, T6E-6A8 Winnipeg, MB, CA, R3C-3P1

Company: Wawanesa Insurance


We’re proud to give our employees the flexibility to choose how and where they want to work. In this role, you will decide whether your preference is to work from home, work from the office or a hybrid of time spent at both. You may live and work anywhere that Wawanesa operates in Canada. 

The Wawanesa Mutual Insurance Company, founded in 1896, is Canada’s largest mutual insurer, with $3.9 billion in annual revenue and assets of $10.5 billion. Wawanesa Mutual, with executive offices in Winnipeg, is the parent company of Wawanesa General, which offers property and casualty insurance in California and Oregon; Wawanesa Life, which provides life insurance products and services throughout Canada; and Western Financial Group, which distributes personal and business insurance across Western Canada. With more than 5,700 employees, Wawanesa proudly serves more than two million policyholders in Canada and the United States. Wawanesa actively gives back to organizations that strengthen communities where it operates, donating well above internationally recognized benchmarks for excellence in corporate philanthropy.

We are currently looking for dedicated, driven, and enthusiastic individuals who thrive in an environment that welcomes change and are looking for an opportunity for diverse experience and advancement on a growing team.


Job Overview

Working under minimal supervision, this Data Scientist job contributes to Wawanesa’s success by extracting knowledge and insights from data, through machine learning, data mining and predictive modeling, to support decision making across the organization.


Job Responsibilities

  • Collaborate with various stakeholders to translate business questions into formalized and repeatable analytical processes
  • Work with various stakeholders throughout the organization to design, develop, and assess experiments aimed at uncovering meaningful and actionable insights
  • Keep up to date on current statistical and mathematical models and methodologies, including those relating to machine learning, deep learning, and artificial intelligence with an eye for applying this knowledge to business processes
  • Contribute to the successful deployment of predictive analytics into core systems
  • Contribute to educational initiatives aimed at the development of overall inter- and intra-departmental knowledge
  • Mentor other Data Scientists and contribute to a culture of continual learning and improvement
  • Perform other duties as assigned


  • Completion of post-secondary degree/certificate preferably in the area of computer science, mathematics, statistics, actuarial science/mathematics, engineering, physics, or other related field
  • Two to four years’ practical experience performing analysis or developing analytical processes using current programming languages and/or statistical software through work or academia 
  • Two years’ experience performing data exploration, data management, and other data related activities
  • Proficiency with analytical tools and processes used within the department
    • SQL, Python, Cloud platforms (AWS), version control, coding standards, etc.
  • Expert level understanding of Machine Learning including supervised, unsupervised, NLP, and deep learning algorithms
  • Experience in deploying machine learning models for use in core business processes
  • Strong creativity skills, with the ability to develop solutions to a variety of problems
  • Excellent communication skills, with the ability to communicate in a clear and concise manner with style fitting for the audience and message
  • Strong planning and organizing skills, with the ability to develop and implement plans by prioritizing
  • Effective leadership skills, with the ability to facilitate high team morale by encouraging and coaching team members
  • Effective decision-making skills, with the ability to direct team members to achieve goals through clear instruction
  • Proven ability to collaborate in a multi-disciplinary team
  • Knowledge and experience in the insurance industry is considered an asset


Wawanesa provides its employees with a respectful, challenging and rewarding environment where they can maximize their potential while contributing to the company’s goals. Our full-time permanent employees are provided with highly competitive compensation packages (salaries, generous vacation allowance, leave top up, annual bonus plan, premium free benefits and a pension plan). Wawanesa provides a stable environment for its employees in today’s challenging markets. 

Wawanesa is an equal opportunity employer and is committed to fostering a diverse workforce that is equitable and inclusive for all. Wawanesa provides equal employment opportunity to all employees and applicants without regard to an individual’s protected status: race/ethnicity, colour, religion, creed, sex or gender, sexual orientation, gender identity or expression, family or marital status, pregnancy/childbirth or related conditions, national origin, disability, military or veteran status, or any other protected status. Accommodations are available upon request throughout all aspects of the selection process. Candidates requiring accommodations may contact, in confidence,

If you are interested in this exciting, challenging position with Wawanesa, apply today with your Resume.

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