S
Programme
Internship
Location
Toronto
Duration
January 2027 – April 2027
Deadline
2026-10-02
About the role
Data Scientist Intern/Co-op in Scotiabank’s Velocity Program, based in Toronto from January to April 2027. The role involves applying machine learning, statistical analysis, distributed computing, and data engineering techniques to create data-driven solutions and support business decisions.
Responsibilities
- Identify opportunities to create business value through data science solutions with business lines and stakeholders.
- Use Spark, cloud tools, and distributed computing for data analysis, mining, and modelling.
- Build analytical datasets and models with data engineers, software developers, and analytics teams.
- Develop testing strategies, evaluate model effectiveness, and make ongoing improvements.
- Document data sources, models, and algorithms used or developed.
- Present findings to stakeholders and support implementation of data-driven changes.
Program Details
- Velocity provides customized development tools, training, coaching, feedback, networking, and exposure across Scotiabank and Tangerine.
- The work term runs from January 2027 through April 2027 in Toronto, Ontario.
- The internship requires 37.5 hours per week.
- Student events include Scotia Student Day, Lunch & Learns, and leadership panels.
- The role includes bank-wide orientation and exposure to senior leadership.
- High-performing students may receive support establishing future placements after successful completion.
Application Process
- Complete and save a screenshot of the PLUM Profile.
- Complete a short one-way video interview.
- Complete the job-related Codility coding assessment before applying through the career site.
- Apply online after completing the PLUM Profile, video interview, and Codility assessment.
- Upload the PLUM Profile screenshot instead of a resume when prompted.
- The assessment and video interview only need to be completed once for specified Velocity data roles.