Machine Learning Engineer

Employment Type: Existing Role

Working Business Language: English. This role is considered a head‑office role and will be required to communicate with internal and external stakeholders across Canada where the primary business language for this role is English. As such, the successful candidate must be fully proficient in English.

Salary: At Wawanesa, salary is only one component of a holistic, comprehensive and competitive offering that we provide to our employees. 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 are provided with generous vacation time, personal days, premium free benefits and a 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. The salary offered is estimated to be within the following range: $110,000 - $130,000. Candidates with salary expectations outside of the range are still encouraged to apply.

At Wawanesa, 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 remote work. You may work from any of the following locations:
Winnipeg, MB;
Wawanesa, MB;
Vancouver, BC;
Calgary, AB;
Edmonton, AB;
Lethbridge, AB;
Toronto (North York), ON;
Kitchener, ON;
Ottawa, ON;
Montreal, QC;
Quebec City, QC;
Moncton, NB;
Dartmouth, NS.

The Wawanesa Mutual Insurance Company (“Wawanesa Mutual”), founded in 1896, is one of Canada’s largest mutual insurers, with over $3.5 billion in annual revenue and assets of $10 billion (CAD). Wawanesa Mutual, with its National Headquarters in Winnipeg, is the parent company of Wawanesa Life, which provides life insurance products and services throughout Canada, and Western Financial Group, which distributes personal and business insurance across Canada.

Wawanesa proudly serves more than 1.7 million members in Canada, and we are home to more than 3,300 employees distributed across the Canadian regions and communities where we operate. We give back to organizations that strengthen communities, donating more than $3.5 million annually to charitable organizations, including over $2 million annually in support of people on the front lines of climate change. We are also proud to be recognized as one of Manitoba’s Top Employers.

To learn more visit

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.

The Advanced Analytics Exploration team consists of actuarial analysts and machine learning engineers who build and deploy predictive models that support decision‑making across the enterprise, helping Wawanesa deliver smarter, faster and more impactful solutions.

The Machine Learning Engineer role 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.

You’ll work closely with teams across the organization including pricing, reserving, claims and underwriting to solve diverse business problems using advanced techniques such as machine learning and large language models.

• Understand and translate business and functional needs into scalable machine learning and AI modelling workflows.
• Perform exploratory analysis techniques to generate insights for business units and senior leadership.
• Collaborate with Machine Learning Operations and other Technology teams to implement embeddable workflows for use in production environments.
• Conduct independent research with new tools, algorithms and techniques in machine learning/AI and work to implement them in the organization.
• Ensures adherence to performance standards and…