Exploring data and AI jobs in Canada

Use this page to compare Data & AI openings in Canada. Check the actual work location, responsibilities, experience requirements and employment arrangement before applying. A country-level indicator is context; it cannot confirm that a particular employer or city is hiring.

Choose the work you want to own

An analyst role may focus on metrics and reporting; an engineering role may focus on pipelines and reliable data access. Data science roles may involve experiments or predictive modeling, while AI application roles may involve model integration and evaluation. Titles overlap. Compare the deliverables and review process in each advertisement.

Compare locations and work arrangements

Separate the job location from the provinces in which remote employment is allowed. Check office attendance, working hours and any stated language requirements. Toronto, Montréal, Vancouver and other locations should be compared through current advertisements, rather than one national hiring claim.

Evaluate pay using the right population

Statistics Canada’s Employee wages by occupation, annual table (14-10-0417-01) provides national and province/territory wage data. Select the occupation group, reference year, wage measure and employee population before comparing it with an offer. The table is not a measured salary for every Data & AI title or city. Table page checked on October 2, 2026.

Prepare evidence for the opening

Choose a project that matches a required deliverable and explain how you checked it. Use public or synthetic data for a shareable portfolio. Ask which AI tools are permitted in the assessment; be able to discuss the work independently.

Check credentials before enrolling

Use the provider’s current catalog and the role’s eligibility requirements. A historical credential can be accurately listed on a CV, but a retired exam should not be recommended as a current enrollment option.

Sources and next steps

Role and credential sources checked on October 2, 2026.

Microsoft Learn: data analyst role

Google Cloud: data engineer role

Microsoft credential retirement notices

Salary sources and limitations