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Location
Hybrid (Toronto, Canada)
Seniority
Intern
Visa
Positions approved through LMIA in 12 months: 2 · for this role: 2
Employment
Internship

Confirmed on the employer's own hiring board on Oct 26, 2026. First seen by Alion on Sep 15, 2026. Equitable Bank scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Equitable Bank is a Canadian Schedule I bank and the country's seventh largest by assets, held as a wholly owned subsidiary of the listed parent group EQB. It specialises in residential and commercial real estate lending, reverse mortgages, and savings and investment products, and serves personal customers through its digital arm EQ Bank. Founded in 1970 as The Equitable Trust Company and headquartered in Toronto, it manages tens of billions of dollars in combined assets and hires credit, treasury, technology and operations staff in Toronto, Montreal and Vancouver.

Work Term: January - April 2027

The Data Science Co-op assists in transforming data into actionable insights that support customer growth and business objectives. The role contributes to customer analytics, predictive modeling, and performance measurement initiatives that help personalize customer journeys, improve marketing and channel effectiveness, and identify opportunities to enhance customer engagement and profitability.

The Core Responsibilities of the Job:

    • Analyze customer, campaign, and business data to generate insights that support customer onboarding, activation, engagement, and growth strategies.

    • Assist in developing, monitoring, and evaluating Next Best Action (NBA) strategies using analytics, modeling, and testing methodologies.

    • Support the analysis of customer journeys and marketing campaigns to identify opportunities to improve customer experience and business performance.

    • Build and maintain reports, dashboards, and performance tracking tools to monitor key business metrics.

    • Partner with cross-functional teams, including Marketing, Product, and Analytics, to support data-driven decision-making and campaign measurement.

    • Help automate and improve data preparation, reporting, and analytical processes to increase efficiency and accuracy.

    • Communicate insights and findings in a clear and concise manner to both technical and non-technical stakeholders.

Let's Talk About You!

    • An academic focus in mathematics, statistics, business, or a quantitative discipline.

    • Hands on experience with programming languages such as PySpark, SQL, or Python.

    • Expert in MS Office, particularly in Excel and PowerPoint.

    • Detail oriented and an ability to propose creative solutions.

    • Capability to work under pressure and meet tight deadlines.

    • Ability to prioritize and independently execute assigned work.

    • Team player and results oriented.

How to Submit Your Application

  • In ONE document, please submit your transcript and resume. Failure to do so will result in your application not being considered.
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