We offer a hybrid work environment that offers flexibility to our employees in balancing in-office (2 days per week OR 15 hours per week in a Wawanesa office) and work from home.Working Business Language : English. This role is considered a head-office role and will be required to communicate with internal stakeholders across Canada where the primary business language utilized is English. In addition to salary, full-time and part-time permanent employees are eligible for an annual bonus plan, leave of absence top-up programs and provided with generous vacation time, personal days, premium free benefits and pension plan.

The salary offered for this role is determined with consideration to various factors, including but not limited to: your work location, local labour market conditions, external market salary data, internal pay equity and the knowledge, skills, experience and anticipated proficiency in the role.

About The Wawanesa Mutual Insurance

Company

Founded in 1896, The Wawanesa Mutual Insurance Company is one of Canada’s largest mutual insurers, fully owned by its more than 1.8 million members. Headquartered in Winnipeg, Wawanesa is the parent company of WSI™, a specialty insurer delivering tailored solutions built around unique needs; Wawanesa Life, a provider of life insurance products; and Western Financial Group, a leading national distributor of personal and commercial insurance. Wawanesa is committed to helping communities thrive in a changing world.

The company invests more than $4 million annually in charitable initiatives, including $2.5 million each year to support people and communities on the front lines of climate change.

The Machine Learning

Engineer is responsible for solving business problems and discovering business insights using structured and unstructured data, statistics, visualization and advanced machine learning techniques,



and communicating findings of analysis to technical and business audiences. Required to be highly creative and collaborative Exceptional communication skills and ability to translate technical concepts into appropriate language for all stakeholders Commitment to high standards of ethics, regulatory compliance, customer service and business integrity Master/PhD degree in machine learning, computer science, statistics, operations research, mathematics or a related quantitative field. Strong understanding of statistical and machine learning models, with a focus on interpretability and fairness analysis.

Ability to effectively communicate technical concepts and results to technical and business audiences in a comprehensive manner. Knowledgeable about the Agile development cycle.

Experience in code reproducibility and version control. Strong programming skills with Python and SQL.

Experience with current Cloud ML technologies. Required to be highly creative and cooperative Exceptional communication skills and ability to translate technical concepts into appropriate language for all stakeholders. Commitment to high standards of ethics, regulatory compliance, customer service and business integrity. #Diversity Equity, Inclusion& Belonging

At Wawanesa, we are committed to Diversity, Equity, Inclusion and Belonging (DEIB) and believe that our strength lies in the diversity of our people – this is supported by having a representative workforce. We welcome applications from all qualified candidates, including racialized persons, women, Indigenous Peoples, persons with disabilities, members of the 2SLGBTQIA+ community, gender-diverse and neurodiverse individuals, and anyone who can contribute to the further diversification of thought and ideas. If you require accommodations during any stage of the recruitment process, please reach out in confidence to [email protected] note that the recruitment process for this position may involve the use of AI tools to screen, assess, or select applicants.

📌 Machine Learning Engineer (Python / Data Science) (Toronto)
🏢 Wawanesa
📍 Toronto