At Equitable, we believe work should be a place where you feel supported, inspired, and empowered to grow. In our caring and collaborative environment, your curiosity is encouraged, your passion is recognized, and your contributions truly matter. Together, we create meaningful impact; for our clients, our communities, and each other.

Position Title: Machine Learning Specialist

Reports To: Director, Data Science

Department: Individual Data Analytics

Term: Permanent Full-Time

Work Arrangements: This is a hybrid role. You will work in our office in Waterloo, ON a minimum of two (2) assigned, consecutive days every other week, plus a fifth (5th) assigned day per month. You are welcome to work from the office more than the minimum requirement and there may be some roles that are required to work in our office more than the minimum requirement.

The Opportunity: At Equitable, our focus is on making a meaningful impact in the lives of Canadians by putting clients at the heart of everything we do. We lead with empathy, act with intention, stay curious, and support one another every step of the way.

If you're looking for purpose-driven work in a collaborative and inclusive environment where your voice is heard, and your growth is encouraged we’d love to connect.

Equitable is seeking a full-time Machine Learning Specialist to join its Data and Analytics team. This role will support the development and deployment of ML solutions that enhance business processes and drive strategic goals across the organization.

Join one of the Waterloo Area’s Top Employers for 2025 and Southwestern Ontario’s Top Employers for 2024 and be part of something that matters.

What you will be doing:

• Acquisition, preparation and staging data for ML projects
• Implementation and productionization of ML models in various data environments under guidance of Director Data Science, Sr Machine Learning Specialist and/or Data Scientists
• Own and deliver on projects of moderate scope and handle assigned tasks of more advanced scope
• Build ML algorithms in collaboration with data scientists
• Work with data scientists to monitor ongoing results of implemented models
• Maintain data environments related to Individual Insurance Data Insights and Enablement projects
• Visualization of ML project results
• Implement measurement and documentation framework against all project work
• Contribute to discussions related to analytics methodology, tools, and measurement
• Innovate and find creative ways to source data to support modeling efforts
• Peer review and code review other team members work

What you will bring:

• Acquisition, preparation and staging data for ML projects
• Implementation and productionization of ML models in various data environments under guidance of Director Data Science, Sr Machine Learning Specialist and/or Data Scientists
• Own and deliver on projects of moderate scope and handle assigned tasks of more advanced scope
• Build ML algorithms in collaboration with data scientists
• Work with data scientists to monitor ongoing results of implemented models
• Maintain data environments related to Individual Insurance Data Insights and Enablement projects
• Visualization of ML project results
• Implement measurement and documentation framework against all project work
• Innovate and find creative ways to source data to support modeling efforts
• Peer review and code review other team members work Contribute to discussions related to analytics methodology, tools, and measurement

What’s in it for you:

• A workplace where care, passion, and curiosity aren’t just values, they’re how we work, grow, and succeed together every day.
• A healthy work-life balance with employee wellness top of mind
• Annual bonus program, annual vacation allowance, and company-paid benefits program
• Generous vacation package with one volunteer day to give back to a charity of your choice
• Immediate enrollment in the company’s pension program with employer matching
• Employee resource groups that support an inclusive work environment
• Tuition support and specialized program assistance
• An onsite full-service cafeteria with a variety of daily options
• Discounts on company products and services, and access to exclusive employee perks
• Regular EQ Together events focused on company togetherness and collaboration

As part of the recruitment process, candidates may be asked to complete an assessment and will be required to undergo background screening, in accordance with company policy.

This position is available due to an existing vacancy.

We're dedicated to inclusive and accessible hiring practices. If you require accommodations or alternative formats, please contact us at careers@equitable.ca.

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