Canada is poised to see continued growth in demand for data scientists in 2025, driven by the increasing reliance on data-driven decision-making across industries. For example, the demand for core AI skills is projected to be 37% higher in 2025 compared to 2018. With expanding opportunities in areas such as artificial intelligence, deep learning, and machine learning, data scientists in Canada can expect a promising job outlook and attractive salaries.
This blog will highlight the top companies for data scientist roles in Canada and outline the most in-demand skills these employers are seeking.
Source: Nucamp
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Best Companies for Data Scientist Jobs in Canada Right Now
Working for the top data science companies offers several advantages, including competitive salaries, diverse job roles, strong career growth prospects, and the opportunity to contribute to impactful, real-world projects.
| Company | Industry |
| RBC (Royal Bank of Canada) | Financial Services |
| Technology – Internet Services | |
| Microsoft | Technology – Software and IT services |
| SAP | Enterprise Software |
| Apple | Consumer Electronics |
RBC (Royal Bank of Canada)
RBC stands out as one of the leading companies for data scientist roles in Canada, thanks to its strong in-house AI expertise and commitment to innovation. The company is also recognized for its transparency in communicating AI advancements, reflecting responsible AI practices. Many other financial service providers in Canada closely watch RBC’s approach to building and leveraging its AI capabilities.
Google is among the top companies hiring data scientists in Canada due to its strong national presence, significant investments in AI and machine learning, and access to vast datasets. It offers abundant opportunities for research, innovation, competitive pay, and career growth. With major operations in Toronto, Waterloo, and Montreal, Google’s leadership in AI and commitment to the Canadian market make it a key player in the country’s data science landscape.
Also Read: The Future of Data Science in Canada: Trends and Predictions
Microsoft
Microsoft has become one of the top employers of data scientists in Canada because of its established presence in various tech hubs of the country, heavy investment in cloud computing and AI, impactful and diverse projects, a strong culture of research and innovation, and the competitive compensation it offers its employees. The company also provides excellent opportunities for career advancement. It is Microsoft’s combination of innovation, AI leadership, global scale, and local investment that has elevated it in the data science industry of Canada.
SAP
SAP has risen to prominence in Canada’s data science market because it enjoys a strong position in the North American enterprise software industry. It has many corporate and R&D offices throughout the country and is committed to innovation in areas such as analytics and machine learning. The company’s usage of technologies such as IoT and machine learning, and its focus on intelligent enterprises, have further solidified its role in Canada’s data science landscape.
Apple
Apple is one of the leading companies for data scientists to work in Canada because of the strategic way it has integrated AI and data science into its products and services. This approach allows them to personalize user experiences, innovate product development, improve product quality, and protect user data. Apple’s success in data science is the result of its commendable engineering culture, investments in research and development, and focus on customer experience.
Also Read: How to Earn Passive Income as a Data Scientist in Canada?
Skills and Tools Canadian Employers Look for in Data Scientists
In 2025, 33.33% of jobs in Canada require strong tech skills, highlighting their importance for landing a good job in data science companies.
- Artificial intelligence and machine learning
- Cloud computing
- Blockchain technology
- Cybersecurity
- Data analysis
- Programming languages
- UI/UX and web design
- Agile and digital methodologies
- Soft skills
- Project management
All these skills have unique reasons for importance in data science. For example, Blockchain technology is leading a financial revolution, and data analysis has become a strategic business tool. Project management is essential for leading the way.
Also Read: Top Skills You Need to Become a Data Scientist in Canada 2025
Gain the Skills Canadian Employers Want — with upGrad’s Data Science Programs
Studying the data science and analytics programs through upGrad can help aspirants get hired by the top data science companies in the country simply because of the quality of education they offer. These programs help them elevate their skills and learn how to harness the true potential of data properly.
- Master of Science in Data Science, Liverpool John Moores University
- Post Graduate Diploma in Data Science (E-Learning), upGrad Institute
- Executive Diploma in Data Science and AI, IIIT Bangalore
- Post Graduate Certificate in Data Science & AI, IIIT Bangalore
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FAQs On Top Companies Hiring Data Scientists in Canada
Q: Which are the best companies for data scientists in Canada in 2025?
Ans: The best companies for hiring data scientists in Canada are:
- RBC (Royal Bank of Canada)
- Microsoft
- SAP
- Apple
- Amazon
- Accenture
Q: What skills are in demand for data scientists in Canada in 2025?
Ans: The following are the most in-demand skills for data scientists in Canada in 2025:
- Artificial intelligence and machine learning
- Cloud computing
- Blockchain technology
- Cybersecurity
- Data analysis
- Programming languages
- UI/UX and web design
- Agile and digital methodologies
- Soft skills
- Project management
Q: Do Canadian companies hire international data scientists?
Ans: Yes, companies in Canada do hire data scientists from other countries as well. The country’s tech industry is growing, and there is a significant demand for these professionals, making it an attractive destination for international talent.
Q: Are there remote data science jobs available in Canada?
Ans: Remote data science jobs are available in Canada. Job platforms such as Indeed and LinkedIn regularly post such opportunities.
Q: How to become a data scientist in Canada?
Ans: Candidates looking to work as data scientists in Canada need to possess a commendable educational foundation in a quantitative domain — this is a key requirement for such profiles.
