Data Scientist Salaries in “Silicon Valley North”
Data Science is one of the most elite technical roles in Toronto. Because true data scientists (those who can build deployable predictive models and integrate them into production) are rare, salaries are exceptionally high, particularly in the AI research and financial sectors.
(Note: Salaries are quoted in CAD.)
Average Salary by Experience Level
- Junior Data Scientist (0-2 years): $80,000 - $115,000 per annum
- Mid-Level Data Scientist (3-6 years): $125,000 - $175,000 per annum
- Lead Data Scientist / Head of AI (7-10+ years): $190,000 - $280,000+ per annum
Salary by Industry Sector
1. AI Research Labs and FAANG
- Mid-Level Pay: $160,000 - $240,000 (Base + RSUs).
- The Profile: Applied machine learning, NLP, and Generative AI research. Highly competitive roles requiring deep expertise in PyTorch/TensorFlow and a track record of cutting-edge deployment. Often requires a PhD.
2. Big Five Banks and FinTech (Bay Street)
- Mid-Level Pay: $130,000 - $180,000.
- The Profile: Building credit risk models, fraud detection systems, and personalized financial product recommendations. High demand for Machine Learning Engineers who can deploy models to production in a highly regulated environment.
3. E-commerce and Retail Analytics
- Mid-Level Pay: $120,000 - $160,000.
- The Profile: Dealing with massive consumer datasets, optimizing logistics routes, and building dynamic pricing models.
The “Deep Learning & MLOps” Ceiling Breaker
If you only know basic regression and clustering using Scikit-learn, you will cap out around $130,000. To push past $200,000, you must master MLOps and Deep Learning. Engineers who can build customized LLMs, fine-tune them on proprietary data, and deploy them securely into production pipelines are incredibly rare and highly paid in Toronto’s AI-obsessed market.