Job Description

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.

The Opportunity: At Equitable, we believe great things happen when we work together. We’re a Canadian mutual company driven by purpose - putting people first and helping Canadians protect today and prepare for tomorrow. If you’re passionate about making a difference and growing your career in an inclusive and collaborative environment, we’d love to hear from you. Our culture is built on care, passion and curiosity. We put people above all else, strive to be our best and welcome new ideas to deliver positive outcomes.

Join one of the region’s top employers and be part of something that truly makes a difference.

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

Important Application Instructions: This role is open only to students currently enrolled in a formal co-op program through their post-secondary institution.

To confirm your eligibility, please upload proof of co-op enrollment (e.g., a letter from your school or a screenshot from your student portal, Work Term Record/Transcript etc.).

You will have the option to upload this document during the Candidate Information section at the bottom of the application form. Applications without proof of co-op eligibility may not be considered.

What you’ll do:

• Apply machine learning at scale in an anomaly detection project for Group Benefits
• Develop innovative algorithms that provide best-in-class solutions for fraud detection of claims
• Brainstorm and create powerful visualizations in Power BI that makes data accessible and understandable
• Utilize the latest advancements in GenAI to produce automated alert leveraging the developed prediction algorithms
• Contribute with development best practices and experiment with new ideas
• Work collaboratively with cross-functional teams to identify creative solutions for data targeting, and plan and execute on a project from concept to production

What you’ll bring:

• 2+ years of data science or data analytics education
• Strong and fundamental understanding of statistics, including knowledge of probability theory, hypothesis testing, regression analysis, and data modeling.
• Solid understanding of Machine Learning (ML) concepts and its application in a variety of use cases such as classification, regression, clustering, and anomaly detection.
• Experience developing ML solutions including preprocessing, feature engineering, model selection, training, validation, and deployment.
• Good foundation in SQL for data manipulation, querying, and analyzing data to support machine learning and data science initiatives.
• Strong programming skills in python (preferred), including relevant statistical, machine learning, and deep learning libraries (pandas, numpy, stats models, scikit-learn, tensorflow, etc.)
• Skills in data visualization (Power BI)
• Strong communication skills, including the ability to explain complex ideas to a non-technical audience

What’s in it for you:
• Career Growth: Regular learning sessions and development opportunities, plus our Co-op Student Buddy Program, “Equitable Crew”
• Total Rewards: Allowance provided in place of vacation pay and benefits
• Flexibility: Healthy work-life balance with employee wellness always top of

At Equitable, we’re committed to fair pay and an inclusive, accessible hiring experience. If you need accommodations or alternative formats at any stage, just reach out to us at careers@equitable.ca. We’re happy to help.

Your base pay will follow your school’s recommended co-op earnings guidelines, ensuring fair and consistent compensation for your placement.

If you’re selected to move forward, our Talent Acquisition team will walk you through all the details of our total rewards program, so you know exactly what’s included.

Reports To: Director, Group Insurance Data Insights & Analytics
Department: Group Actuarial
Work Term: May 2026 – August 2026

This position is open and we are excited to find the right person to join our team.

As part of the recruitment process, you will need to go through background screening, as per our company policy.