Intern - Data Scientist, Winter 2027

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 successful candidate will work within the portfolio management team of the customer risk department. During their time with the bank, they will collaborate with the team to build new process efficiencies and aid with optimizing and implementing new risk strategies that will drive business growth and achieve strategic objectives. The successful candidate will learn the fundamentals of credit card industry, gaining insight on the importance of the role that the customer risk department plays within the bank.  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.