About UsAt 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). With its National Headquarters in Winnipeg, Wawanesa 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 has more than 3,300 employees distributed across the country.Position OverviewThe 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 to drive quicker and more accurate decision‑making in the business.Job ResponsibilitiesUnderstand 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 recent tools, algorithms and techniques in machine learning/AI and work to implement them in the organization.Ensure adherence to performance standards and compliance to data security and model governance requirements.Perform other duties as assigned.QualificationsA bachelor’s degree in software engineering, data science or computer science or a related quantitative field [or equivalent work experience] is required. An advanced degree in a related quantitative field is preferred.Understanding of probability and statistical models.Proficiency in machine learning algorithms and large language models.Experience in code reproducibility and version control.Strong programming skills with Python and SQL.Advanced oral and written communication skills to convey complex terminology and concepts into understandable terms for stakeholders.Ability to navigate ambiguity.Ability to collaborate effectively across multiple teams and stakeholders, including actuarial, analytical, and operations groups.Previous experience in P&C Insurance required.Previous experience with AWS and Power BI is considered an asset.BenefitsSalary: $110,000 - $140,000. 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. Candidates with salary expectations outside of the range are still encouraged to apply.Full‑time and part‑time permanent employees are eligible for an annual bonus plan, leave of absence top‑up programs, generous vacation time, personal days, premium free benefits and pension plan.Diversity, Equity & InclusionWe welcome applications from all qualified candidates, including racialised 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.We aim to ensure our recruitment process is accessible to all candidates. 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. All final decisions are taken or reviewed by human recruiters and hiring leaders in compliance with all applicable legislation.#J-18808-Ljbffr

📌 Machine Learning Engineer - C$110,000 - C$140,000 A Year - Part Time (Toronto)
🏢 Wawanesa Mutual Insurance
📍 Toronto