Average Data Scientist Salary in Canada for 2026

How much does a data scientist make in Canada?

A typical data scientist working in Canada brings home around 16,466 CAD a month before tax. Entry-level pay starts near 107,700 CAD, and the top of the ladder reaches roughly 296,500 CAD for the most experienced and specialised people in the role.

The wide gap between low end and top end reflects how much pay can vary inside the same job title. A junior data scientist working at a small local employer earns very different money from a senior at a multinational. Skills, employer, city and years in the seat all push the number around.

How data scientist pay ranges in Canada

A good way to think about salary in Canada is to look at the distribution rather than the headline average. Half of all data scientists in Canada earn less than 183,900 CAD a year, and the other half earn more. That middle number is the median, and it is usually more useful than the average for answering "is my pay normal here".

Looking at the quartiles fills in the picture. A quarter of earners take home less than 128,400 CAD (the 25th percentile), and a quarter clear 219,500 CAD (the 75th percentile). The middle 50% of data scientists sit somewhere inside that band, which is where the typical reader of this page probably lives.

The very lowest reported salaries sit around 107,700 CAD. The highest stretch to 296,500 CAD, though only a small fraction of earners ever reach that level. If you are deciding whether your own offer or current pay is reasonable, work out which of those four bands you would fall into and use that as your reference point.

Data scientist pay by experience in Canada

Years of experience is the single biggest lever on pay for a data scientist in Canada, ahead of education and almost any other single factor. The longer you have been in the role, the more your employer can trust you to handle complexity, mentor others and act independently, all of which command higher pay. The chart below shows how the typical data scientist salary changes as you move through the career ladder.

The single largest jump on the ladder is from 2 - 5 Years to 5 - 10 Years, where pay rises by about 32%. That is the point at which a data scientist typically goes from "competent in the role" to "the person other people in the team learn from", and the market pays well for that step.

Data scientist pay by education in Canada

Education sits alongside experience as one of the biggest factors driving data scientist pay in Canada. Higher qualifications consistently pull higher salaries, but the size of the gap tends to be smallest at junior levels and widens as people move up. Two people in the same role with the same years of experience but different degrees can end up earning very different money once they reach mid-career.

Below is the average data scientist salary in Canada broken down by the highest level of education a worker has completed.

Data scientist gender pay gap in Canada

The gender pay gap is a stubborn feature of almost every labour market, and Canada is no exception. Male data scientists in Canada earn an average of 201,000 CAD a year, while female data scientists earn around 191,100 CAD. That works out to a 5% gap in favour of men, even when comparing people doing the same work.

A pay gap of this size has a real long-term cost. Over a typical thirty-year career it can add up to several years of pay, and it compounds through pensions, retirement contributions and bonus-linked stock. Some of the gap is explained by women being more likely to work part-time, take career breaks, or be steered toward lower-paying specialisations. Some of it is straightforward unequal pay for the same job, which is harder to defend.

Pay raises for a data scientist in Canada

Most countries hand out at least some kind of pay raise every year, typically when an employee's contract is reviewed or as a cost-of-living adjustment to keep wages roughly in step with inflation. The rhythm and size of those raises varies hugely between industries.

A typical worker doing this role in Canada sees a raise of about 13% every 16 months, which works out to roughly 10% on an annual basis. That figure is the typical underlying rate; in years where inflation runs high you can usually expect a bit more, and in flat-economy years a bit less.

Across all jobs in Canada, the national average raise is around 9% every 15 months.

By industry

Industries with the highest pay raises in Canada:

By experience level

Experienced workers tend to see larger raises. Retaining a senior is cheaper than replacing them, so employers fight harder for them.

Data scientist bonus rates in Canada

Bonuses are the other half of total compensation, and they vary a lot between jobs and industries. Some roles are paid almost entirely in base salary; others lean heavily on bonus structures tied to revenue, project completion or company performance. Whether a job pays a bonus, how big it is, and how often it lands all factor into whether the headline salary is actually a good offer.

Which careers pay bonuses in Canada

Revenue-facing roles tend to pay the biggest bonuses. Operational and support roles tend toward smaller, more predictable ones.

Data scientist: public vs private sector pay

Public-sector pay in Canada is about 6% more than private-sector pay for similar work. The private sector typically offers stronger upside and bigger bonuses; the public sector typically offers better benefits and stability.

Data scientist salary by city and region in Canada

Data scientist pay is not even across Canada. The chart below shows the highest-paying cities and regions in the dataset, followed by the full location table.

Similar jobs to a data scientist

Other jobs in the same category as a data scientist in Canada.

Data Scientist in Canada: FAQs