Data Scientist - Co-Op

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. Equitable is looking for a co-op student ready to roll up their sleeves to help support the reporting and analytics needs for our data science team. You will be exposed to enterprise solutions that include data engineering, modeling and reporting. This role is ideal for a highly organized person who enjoys analyzing complex problems, thinking about the “big picture,” and collaborating with diverse stakeholders to bring ideas to life. If you are curious about how technology decisions align with business goals and want to learn how projects move from concept to completion, this position is for you. 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:**

- Support the underlying data models and make necessary data corrections - Review, test and validate data science solutions - Create and maintain technical documentation

**What you’ll bring:**

- Practical knowledge of SQL (preferably T-SQL, e.g., Microsoft SQL Server) and Python - Understanding of statistics and machine learning theory - Experience with version control and DevOps tools - Experience with a BI/dashboard tool (e.g., Power BI) - Ability to work both independently and as part of a team - Self-motivated, detail-oriented, proactive, and strong communication skills - Experience in or knowledge of the insurance or financial industry would be a major asset

**What’s in it for you:**

- Career Growth: Regular learning sessions and development opportunities, plus our Co-op Student Buddy Program, “EQ Crew” - Total Rewards: Allowance provided in place of vacation pay and benefits - Flexibility: Healthy work-life balance with employee wellness always top of mind, complemented by a “dress for your day” approach

As part of the recruitment process, please upload a copy of your Transcript. 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, Data Science **Department:** Individual Insurance **Work Term:** May 2026 - August 2026 This position is open because of an existing vacancy, and we’re looking forward to finding 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.