Data / ML Jobs in Canada 2026

103 entry-level positions available (32 full-time, 71 internships)

Data Science and Machine Learning roles are among the fastest-growing tech careers in Canada, driven by AI adoption across industries. Entry-level positions include Data Analyst, Junior Data Scientist, and ML Engineer roles. Companies like Google AI (Montreal), Mila, and major banks are actively hiring. Expect salaries from $65,000 to $110,000 CAD for new grads, with strong Python, SQL, and statistics skills being essential.

In-Demand Skills for Data / ML

  • Python
  • SQL
  • TensorFlow
  • PyTorch
  • Pandas
  • Scikit-learn
  • R
  • Spark
  • Statistics
  • Machine Learning

Career Resources

Showing all data / ml positions for new grads, juniors, and interns in Canada.

Frequently Asked Questions

What's the difference between Data Analyst and Data Scientist roles?

Data Analysts focus on analyzing existing data and creating reports using SQL and visualization tools. Data Scientists build predictive models and work more with machine learning. Both are excellent entry points.

Is a Master's degree required for ML jobs in Canada?

Not always. Many ML Engineer and Data Scientist roles accept bachelor's degrees with strong project experience. However, research-focused roles may prefer graduate degrees.

Which Canadian cities are best for AI/ML careers?

Montreal leads in AI research with Mila and Google AI. Toronto has strong ML teams at Google, Meta, and Vector Institute. Vancouver has Amazon ML and Microsoft.