
Posted 8 days ago
Intern - Data Scientist, Winter 2027
AI Summary
Data Science Co-op intern at EQ Bank supporting customer analytics, predictive modeling, and campaign measurement to personalize customer journeys and improve business performance.
About this role
Join a Challenger
At EQ, we're remaking banking so every Canadian gets ahead, every day. Serving nearly 4 million Canadians from coast to coast, we offer a wide variety of financial services from banking and lending, to trust and credit union solutions.
We've been at this since 1970, challenging the conventions of traditional banking with smarter, faster, and more connected financial experiences.
What's kept us moving? The people behind it all: challengers who ask better questions, push back on old assumptions, and look for a better way forward.
If you're driven to help reshape how banking works for Canadians and the businesses that power our economy, this could be your next big opportunity.
We can’t wait to get to know you!
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:
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Analyze customer, campaign, and business data to generate insights that support customer onboarding, activation, engagement, and growth strategies.
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Assist in developing, monitoring, and evaluating Next Best Action (NBA) strategies using analytics, modeling, and testing methodologies.
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Support the analysis of customer journeys and marketing campaigns to identify opportunities to improve customer experience and business performance.
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Build and maintain reports, dashboards, and performance tracking tools to monitor key business metrics.
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Partner with cross-functional teams, including Marketing, Product, and Analytics, to support data-driven decision-making and campaign measurement.
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Help automate and improve data preparation, reporting, and analytical processes to increase efficiency and accuracy.
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Communicate insights and findings in a clear and concise manner to both technical and non-technical stakeholders.
Let's Talk About You!
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An academic focus in mathematics, statistics, business, or a quantitative discipline.
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Hands on experience with programming languages such as PySpark, SQL, or Python.
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Expert in MS Office, particularly in Excel and PowerPoint.
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Detail oriented and an ability to propose creative solutions.
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Capability to work under pressure and meet tight deadlines.
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Ability to prioritize and independently execute assigned work.
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Team player and results oriented.
How to Submit Your Application
Skills
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