Velocity - Data Engineer Internship/Co-Op - Winter 2027

Scotiabank
Toronto, Ontario, CanadaPosted Sep 8, 2026
Data Science / MLWinter 2027

About the role

Requisition ID: 273035 Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

Velocity - Data Engineer Internship/Co-Op – Winter 2027

Term: January 2027 – April 2027

Work Hours/Week: 37.5

Application Deadline: October 02, 2026

Ready to Start your Journey with Scotiabank? Apply Now!

For students applying to our internship/co-op or new graduate programs, we do not require resumes! We believe in evaluating you through relationships over resumes and are eager to learn about you, your interests, and your potential.

There's no better way to kickstart your career than to do a co-op or internship with Scotiabank! During your work term, you’ll have the opportunity to be part of a winning team, build your network, and discover what you love – all while getting paid to do it! There’s a place for every type of student at Scotiabank and all that we ask for is that you have passion and strong AOO (Attitude, Ownership and Opportunity).

The Velocity Program is not your average internship or co-op! This is a customized experience that focuses on providing you with the development and tools you need to grow your career. After successfully completing a co-op or internship with top performance, we will work with you to establish your future placements. As a result, you will get to learn, grow, and experiment within different areas of both Scotiabank and Tangerine!

Is this role right for you? In this role, you will:

Perform data exploration on different data sources and model training

Productionalize/Operationalize advanced analytics models following the Bank standards. ModelOps plays a key role as a liaison with other teams (Security, Privacy, Data Office, Analytics, Technology, among others)

Automate data pipelines and trigger actions/events to streamline business processes and models enablement

Enable mechanisms for Data S

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