There are numerous companies hiring data scientists currently in Canada. The increasing adoption of AI, big data, and digital transformation initiatives in several industries is the main reason. The Government of Canada’s Job Bank forecasts demand for 29,300 data administrators and database analysts over the next decade. At the same time, data science jobs may grow by 36% from 2023 to 2033, according to reports.
If you want to land the best-paying data scientist jobs in Canada, knowing more about the top industries, employers, and market landscape is a must. This blog will acquaint you with the top companies hiring data scientists in Canada.
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Top Industries Hiring Data Scientists in Canada
Here is a look at the leading industries and companies hiring data scientists in Canada.
| Industry | Average Salary (CAD per year) | Top Recruiters |
| E-Commerce/Tech | 77,000-150,000 | Instacart, Shopify, Wealthsimple, Amazon, Google |
| Finance/Banking | 90,000-110,000 | Royal Bank of Canada (RBC), Desjardins, National Bank of Canada, CIC, Scotiabank, Morgan Stanley, Vanguard, Connor, Clark & Lunn Financial Group |
| Media/Legal | 60,000-140,000 | Clio, Thomson Reuters, RBC, TD, LegalShield, Google Canada, Shopify, Deloitte, EY, Accenture, Microsoft, Amazon |
| IT/Consulting | 77,000-158,107 | CGI, McKinsey, Deloitte, Fractal Analytics, Tiger Analytics, LatentView Analytics, Telus, and Rogers |
| Tech/Cloud | 60,000-140,000 | Amazon, Google, Shopify, Microsoft, IBM, Yellow.ai, Nvidia, Arya.AI, NIRMAI, Rephrase.ai, PwC, TD Bank, Deloitte |
| Public Sector | 60,000-120,000 | Federal Government of Canada, Government of Alberta, BC Government, Statistics Canada, HICC |
E-Commerce/Tech
One of the most popular graduate jobs in data science is in the e-commerce sector. Key duties include analyzing customer behavior, optimizing digital or online marketing campaigns, and forecasting sales trends. Other tasks include creating customer recommendation systems, predictive models, and data visualization and reporting.
Finance/Banking
With an attractive salary package for data scientists, this industry is a favorable hunting ground for trained professionals. Your primary duties include creating and executing machine learning (ML) models for risk assessment, fraud detection, and customer analytics. You’ll also have to build models to forecast customer behavior, financial indicators, and market trends while communicating complex findings through concise visualizations.
Media/Legal
You will find several opportunities in the legal and media sectors with lucrative salaries. Some of your key tasks include data analysis, identifying trends, creating predictive models, and extracting data insights to support internal decision-making. You may also lead initiatives in data collection, preparation, modeling, visualization, and refinement, applying insights to contract assessment, legal analytics, and other areas.
IT/Consulting
To succeed in this sector, you will need skills in data model development, programming tools, and visualization. Other duties may include creating ML models, generating insights, and leading data science projects. Strategic planning and data analysis are key, along with programming tools for data visualization and analysis.
Tech/Cloud
You can put your degree as a data scientist to good use in this industry, analyzing large datasets and generating insights for better business decisions and strategies. Other responsibilities may include model implementation and creation, data collection, strategic recommendations, and staying updated on the latest technologies and advancements in the field.
Public Sector
The Government of Canada and various other federal or state agencies hire data scientists in large numbers. You will need to create and execute multiple statistical models and machine learning (ML) algorithms while deploying predictive analytics to address public sector needs and challenges. Data mining and extraction skills are essential, as are problem-solving, data visualization, and effective communication. You may also be required to work on specific projects in healthcare, transportation, social services, and other related fields.
Also Read: Why Data Science is One of the Most In-Demand Careers in Canada
Data Science Industry Overview and Job Outlook
The data sector in Canada is booming thanks to the growing reliance on data to make decisions across every industry. Digital transformation also plays a significant role in this context, as more companies are adopting technologies such as big data and artificial intelligence (AI). This has also created a high demand for data scientists.
The demand for data scientists is exceptionally high across sectors such as technology, healthcare, finance, and government.
The demand for core data science skills has been strong since 2018, and it is expected to continue to grow!
The job market for data scientists in Canada is in rude health, with growth expected in multiple openings, especially for professionals with the right specialization and experience. It is expected that the job market for data scientists will grow by 36% over the 10 years from 2023 to 2033.
Recruiters in Canada are actively seeking candidates proficient in programming languages such as R and Python, with database skills in Structured Query Language (SQL), and experts in machine learning (ML), cloud computing, and AI.
The following cities are expected to be regional hubs for data scientists in Canada:
- Toronto
- Vancouver
- Montreal
- Calgary
- Ottawa
Data science salaries in Canada vary based on region. For example, data scientists working in cities like Toronto receive higher salaries.
Source: upGrad, as of September 7, 2025
Top Canadian Companies Hiring Data Scientists
The top data science recruiters in Canada are concentrated primarily in the electronic commerce (e-commerce), technology, finance and banking, and consulting sectors.
The following table shows the top companies in Canada hiring data scientists:
| Sector | Companies |
| E-Commerce and Technology |
|
| Banking and Finance |
|
| Consulting and Other Industries |
|
Source: upGrad, as of August 26th, 2025; and Glassdoor, as of October 6, 2025
Career Roadmap: How to Enter Data Science
The first step that you need to take in this regard is to obtain a relevant degree. The standard requirement in these cases is a bachelor’s degree in subjects like computer science, mathematics, or statistics. Many employers also look for candidates with a doctor of philosophy (PhD) or a master’s degree in such subjects.
You need to keep certain other factors in mind to stand a good chance of working in Canada’s data science industry:
| Broader Point | Specific Factors |
| Getting the right skills and education. |
|
| Building a professional profile. |
|
| Finding opportunities and networking. |
|
| Understanding Canadian requirements. |
|
Skills & Tools Needed to Get Hired as a Data Scientist
Canadian companies hiring data scientists require key skills and knowledge of specific tools when filtering applicants. They include:
- Knowledge/certification in Python, SQL, and R, along with Tableau and AWS.
- Statistical and mathematical foundation.
- Machine learning knowledge, including decision trees, random forests, linear regression, and neural networks.
- Data manipulation, cleaning, wrangling, preprocessing, and analysis skills.
- Data visualization with tools like Seaborn, Matplotlib, Power BI, or Tableau.
- Communication, analytical problem-solving, and collaborative skills.
Also Read: Data Science vs. AI vs. Machine Learning: Which Career Path is Best for You in Canada?
Future Outlook: AI and Emerging Sectors
The key current trends in data science in Canada are:
- Integration of ML and AI
- Focus on Responsible and Explainable AI (XAI)
- Growth of Specialized Roles
- Focus on Real-Time Edge and Data Analytics
- Climate and Sustainability Innovation
The key challenges facing the data science industry in Canada are talent shortage, brain drain, and an adoption gap.
The most prominent industries driving the growth of data science in Canada are:
- Finance
- Healthcare
- E-Commerce and Technology
- Public Sector
- Natural Resources and Manufacturing
Apart from these, you still need considerable technical and soft skills, along with specialized knowledge, to make it big in Canada’s data science industry.
How upGrad Can Help You Land a Data Science Role in Canada
Find industry-leading data science programs that help you land your dream job in Canada, courtesy of upGrad. You can expect cutting-edge courses with a Generative AI-integrated curriculum, real-world case studies and projects, and the latest data science and ML languages and tools. Other perks include career support, mentorship, and partnerships with leading global universities.
Completing your course from upGrad will go a long way in helping you achieve your dream career goals in Canada. You can consider these courses to start your learning journey:
- Executive Diploma in Data Science and AI with IIIT-B
- Master of Science in Data Science from Liverpool John Moores University
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
- Canada’s Highest Paying Non-Tech Roles in 2026
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FAQs on Top Companies Hiring Data Scientists in Canada
Several companies in Canada are currently hiring data scientists, such as:
1. DoorDash
2. Telus
3. Lyft
4. Instacart
5. TD Bank
6. RBC
7. Rakuten Kobo
The average salary of a data scientist in Canada is approximately CAD 97,258 annually. Salaries vary from CAD 84,950 to CAD 129,891, depending on the location, experience, and many other factors.
You will need an educational background in mathematics, statistics, computer science, or related disciplines. Another requirement is strong communication skills, a portfolio of projects or practical experience, and certifications in data modeling, analytics, machine learning, and other relevant fields.
Some entry-level positions for data science in Canada include Junior Data Scientist, Data Visualization Specialist, Data Analyst, Machine Learning Engineer, and Junior Data Engineer. It varies from one industry to another.
Yes, you can switch to data science from a non-technical background. Of course, a robust technical foundation and mathematical or statistical knowledge are beneficial, but not mandatory. Many professionals have successfully switched to data science from diverse backgrounds like business, marketing, arts, and more.
