InternScout

Internships › Data Science and Analytics › Toronto

Data Science and Analytics internships in Toronto

39 open student roles in data science and analytics in Toronto. They range from internships to co-ops and research. That includes 16 co-ops. 25% list pay or say they are paid. The most common start terms are Summer 2027 and Winter 2027. Employers with the most openings: CIBC, Kensington, Royal Bank of Canada, Lyft and OLG.

Rank these for your major and year

25 of these 39 applications are on Workday, Greenhouse or another site the free Auto-Apply extension can fill in from your resume. It stops at Submit: you review each one and send it yourself.

Add Auto-Apply to Chrome, freeAdd Auto-Apply to Chrome, free
Bar chart of the 39 open roles on this page by employer: CIBC 10, Kensington 6, Royal Bank of Canada 3, Lyft 2, OLG 2, Picton Mahoney Asset Management 2; 14 more at 12 other employers.
Who is hiring these 39 roles, counted from the open listings. Not shown: 14 more at 12 other employers.

How many data science and analytics internships in Toronto are open right now?

39 open data science and analytics internships, co-ops and research roles in Toronto as of November 14, 2026, from 17 employers.

Which employers are hiring data science and analytics interns in Toronto?

The employers with the most open data science and analytics roles in Toronto are CIBC, Kensington, Royal Bank of Canada, Lyft and OLG, of 17 employers hiring.

Do data science and analytics internships in Toronto pay?

10 of the 39 open roles (25%) list pay or say they are paid. Listed hourly rates run from $18.50 to $48 an hour, in Canadian dollars.

Where are data science and analytics internships in Toronto?

The open roles are in Toronto (34), Mississauga (5) and Mississauga, Canada – Meadowvale Office (HQ) (1).

Data Science and Analytics internships in other states

Data Science and Analytics internships by city

More ways to browse

Updated November 14, 2026. Listings are collected from public job boards several times a day; always check the posting on the employer's site before applying.