Data science is rapidly growing in Canada, driven by the increasing demand for data-driven technologies and informed decision-making. Its impact spans multiple industries, enhancing efficiency, profitability, and innovation. Canada has also emerged as a global hub for data science, thanks to its strong academic institutions, a supportive environment for international students, and a rapidly expanding job market. There is a great demand for skilled and qualified data science professionals in this North American country, as evidenced by their salaries. A data scientist in Canada can earn at least CAD 76,000 a year, and this can go up to CAD 100,000 a year. Their average annual base pay is CAD 91,000.
This blog will discuss the reasons why data science careers are proliferating in Canada and the key tools and skills aspiring professionals need to succeed in this field in the country.
Why a Data Science Career in Canada is Growing So Fast
Data science careers in Canada are growing at an exponential rate due to a confluence of factors, including the increasing reliance on data by the government and businesses, a significant talent shortage, and advancements in machine learning and artificial intelligence.
Expanding Digital Economy across Industries
Canada is undergoing a digital transformation at an increasing rate, driven by the growing reliance of industries such as finance, retail, healthcare, and transportation on data to inform decisions. Businesses are leveraging data science to enhance customer experiences, gain a competitive edge, and optimize their operations. The government also supports smart technologies and digital innovations, which have served as fuel to the fire.
Government and Corporate Investment in AI and Analytics
The Canadian government, as well as major corporations, is investing heavily in big data technologies and artificial intelligence. Funding for AI research hubs in cities such as Toronto, Edmonton, and Montreal, as well as initiatives like the Pan-Canadian Artificial Intelligence Strategy, has created a fertile environment where data science careers can thrive. Companies, too, have made data science central to their strategic planning, recognizing the role it can play in making them competitive and innovative.
Rising Demand for Data-Driven Decision-Making
Organizations throughout Canada are adopting more data-driven strategies to make informed decisions and remain agile. In key domains such as marketing, public policy, logistics, and education, data science has become central for evaluating results, optimizing performance, and predicting trends.
Strong Career Prospects
Professionals working in data science roles in Canada receive competitive salaries, even in entry-level positions, making the sector immensely appealing to both career switchers and job seekers. Thanks to the paucity of qualified talent in data science, candidates now enjoy an even higher earning potential. This earning potential is also a significant reason why many students want to become data analysts and similar professionals.
Growth of Remote Work and Global Collaboration
Thanks to the growth of remote work, it has become easier for professionals based in Canada to work for international companies and collaborate with global teams without needing to relocate. This flexibility has contributed to the domain’s popularity and increased the employment opportunities available therein.
Also Read: Data Science Program best Starting Point for Beginners
Top Provinces for Data Science Jobs in Canada (2026)
In 2026, the top provinces for data science jobs in Canada are Ontario, British Columbia, and Quebec. The primary reason for this is the strong tech sectors in the most prominent cities of these provinces. Apart from them, Alberta is also a central hub, thanks to its growing innovation and technology scenes.
- Ontario is Canada’s economic powerhouse, and as such, it offers an abundance of opportunities in various domains, including technology, healthcare, and finance.
- Quebec also boasts a strong economy, particularly in the aerospace and information technology sectors.
- British Columbia boasts a thriving tech sector, making it a leading destination for data scientists in Canada.
Data Science Salary Range in Canada by Role and Experience
The following table shows the salaries of Data Scientists in Canada based on their experience levels:
Experience in Years | Annual Salary Range |
1-3 years | CAD 76,000 – CAD 100,000 |
4-6 years | CAD 83,000 – CAD 100,000 |
7-9 years | CAD 84,000 – CAD 100,000 |
10-14 years | CAD 88,000 – CAD 100,000 |
15+ years | CAD 91,000 – CAD 100,000 |
Sources: Glassdoor, as of November 14, 2025
The following table shows the top jobs for data scientists in Canada and the salaries that you can expect in those roles:
Job Role | Annual Salary Range |
Data Architect | CAD 95,000 – CAD 133,000 |
Quantitative Researcher | CAD 80,000 – CAD 127,000 |
AI Engineer | CAD 76,000 – CAD 120,000 |
Data Engineer | CAD 77,000 – CAD 109,000 |
Business Intelligence (BI) Analyst | CAD 61,125 – CAD 104,876 |
Machine Learning Engineer | CAD 83,000 – CAD 100,000 |
Big Data Engineer | CAD 77,000 – CAD 100,000 |
Quantitative Analyst | CAD 75,000 – CAD 100,000 |
Artificial Intelligence (AI) Specialist | CAD 58,000 – CAD 98,000 |
Data Analyst | CAD 54,000 – CAD 78,000 |
Sources: Glassdoor, as of November 14, 2025, and Indeed, as of October 25, 2025
Key Companies Hiring Data Scientists in Canada
The following are the top companies hiring data scientists in Canada:
- Royal Bank of Canada
- Deloitte
- Johnson & Johnson
- MasterCard
- Microsoft
- Scotiabank
- Ernst & Young
- Roche
- Telus
How to Start a Data Science Career in Canada
To start a data science career in Canada, you need to begin by acquiring the right technical skills and education. After that, you must build a strong portfolio, network in the tech community in Canada, and learn how to navigate the job market properly.
In terms of acquiring the right skills and education, formal education plays a significant role. You must have a Master’s or Bachelor’s degree, at least, in subjects such as Data Science, Statistics, Computer Science, or Engineering from a recognized institution.
Career Path in Data Science
Your data science career in Canada typically begins with an entry-level role, followed by specialized, individualized contributor roles. After that level, you will work in senior management positions.
Foundational and Entry-Level Roles
- Data Analyst
- Junior Data Scientist
- BI Analyst
Mid-Level Roles
- Data Scientist
- Machine Learning Engineer
- Data Engineer
- Quantitative Researcher or Analyst
Leadership and Senior Roles
- Senior Data Scientist
- Data Architect
- Director of Data Science or Data Science Manager
- Chief Analytics Officer or Chief Data Officer
Key Skills and Tools for Aspiring Data Scientists in Canada
Aspirants looking to pick a data scientist career path in Canada need to know that merely having technical skills and proper knowledge of the necessary software and tools would not be sufficient. They also need good soft skills to thrive in the sector.
| Core Area | Main Skills |
| Technical Skills |
|
| Soft Skills |
|
| Software and Tools |
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Also Read: How Much Data Analysts Earn in Canada in 2026?
Accelerate Your Data Science Career in Canada with upGrad
The online data science and analytics courses offered through upGrad help students embark on any data science career path they desire. These programs help them elevate their skills and become a master of the discipline itself. It also helps that all these courses are from leading universities worldwide, which guarantees a quality education and instant recognition from employers.
- Master of Science in Data Science, Liverpool John Moores University
- Executive Diploma in Data Science and AI, IIIT Bangalore
- Post Graduate Certificate in Data Science & AI (Executive), IIIT Bangalore
Must read articles:
- Top Companies Hiring Data Scientists in Canada
- Top 10 Online Data Science Courses & Certifications in Canada for 2026
- Top Data Science Skills You’ll Learn in a Course — And Why They Matter
- Want to Be a Data Scientist in Canada?
- Best Universities for Pursuing a Data Science Course in Canada
- Data Science vs. AI vs. Machine Learning
- How to Land a Data Science Job in Canada
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FAQs on Why Data Science is One of the Hottest Careers in Canada
Ans: A master’s degree is preferable for students looking to take up a data science career, but they can do it with a bachelor’s degree as well.
Ans: R and Python are the most prominent programming languages that an aspiring data science professional must learn to enjoy a successful career.
Ans: The salary of a data scientist in Canada can go up to CAD 100,000 a year, and their average annual base pay tends to be CAD 91,000.
Ans: A diverse array of industries in Canada is hiring data scientists at present, such as the following:
Technology
Financial Services
Healthcare
Retail
Government
Ans: Soft skills are crucial for achieving success in a data science career, as they enable data scientists to communicate their findings effectively, solve complex problems efficiently, and collaborate effectively with stakeholders.
