Data Scientist Salary in Canada 2025

In Canada, the wages and compensation of a data scientist are greater than in many other nations. This is because of the huge gap between demand and supply for data scientists. The Canadian Occupational Projections System (COPS) projects that between 2022 and 2031, there will be a shortage of data scientists in Canada.

The initial salary for a data scientist in Canada is $60,000. Experienced data scientists may make over $100,000 annually. Canada is a prominent leader in innovation and technology, producing many technology-driven businesses. Thus, there is a lot of room for growth in the Canadian job market for data gurus. Government agencies and commercial businesses urgently need people with a degree in data science.

Data science has expanded as a result of the growing usage of large data, machine learning, and artificial intelligence. According to Indeed, there will likely be a greater need for data scientists in Canada in the years to come. Further, Prodigy Education, Wish.com, York Region, Amazon.com, and Boston Consulting Group are a few of the top Canadian employers for data scientists. 

In this section, we have built a list of the top 15 high-paying data scientist salary in Canada:

The remuneration for those with a master's degree in data science is quite high and goes up to CAD 199,000 for recent graduates and CAD 273,000 for PhD holders. A bachelor's degree, on the other hand, may get you CAD 149,000.

Here is a list of the average salary of data scientist in Canada as per experience:

Large MNCs and organisations find Canada to be an attractive market. Let’s explore which sectors most need data scientists.

1. Education

2. Finance

3. Technology

4. Healthcare

5. Transportation

6. E-commerce

7. Energy

8. Telecommunications

9. Retail

10. Consulting Firms

Also, read: Software Engineer Salary in UK

There are a few companies that provide a good package to the data scientists. The data scientist salary in Canada in different companies are as follows:

The section showcases the Canada data scientist salary as per the cities; take a look:

Here is a list of a few skills which are appreciated when applying for a data scientist job:

• Mathematics and Statistics

Algorithms and models in data science are based on mathematics and statistics. These abilities aid in data analysis and the derivation of insightful conclusions. Data scientists need these abilities to create and validate hypotheses, generate predictions, and quantify uncertainty. Gaining knowledge about machine learning is also necessary. One of the most sought-after abilities for a data scientist is calculus.

• Programming

A key component of careers in data science involves programming. For a data scientist, proficiency in programming languages is essential. Programming languages, including Java, Python, Hadoop, SQL, and C++, should be familiar to data scientists. Developing and implementing intricate algorithms and models requires programming. Being multilingual might open up more lucrative job opportunities for you.

• Data Analytics and Remodeling

Proficiency in analytics and data modelling is a prerequisite for data scientist employment. Analysing data allows for the extraction of valuable information. It supports data visualisation, predictive modelling, and pattern recognition. These abilities are necessary for processing, analysing, and executing tests on data.

• Machine Learning and Deep Learning

Data scientists may better understand vast volumes of data with the use of machine learning and deep learning. Machine learning algorithms create models that can recognise patterns in data, categorise data, and make predictions based on past data. Deep learning benefits natural language processing, picture and audio recognition, and other sophisticated applications. It gives gadgets and machines the ability to act independently. TensorFlow is a Python library; Python is the most essential language in machine learning.

• Extraction, Loading, and Transformation of Data

Data scientists retrieve information from databases such as MongoDB, Google Analytics, and MySQL. The quality of the data increases with the number of data sources. This procedure loads data from several sources into a data warehouse. Expertise in extracting, loading, and manipulating data is valued more highly by data scientists.

• Big data

There are a few key big data competencies that any data scientist should possess. To manage big data, data scientists must be aware of frameworks like Hadoop and Spark. Data scientists need to have this ability as many organisations are using big data analytics to uncover previously undiscovered business insights. To advance your data science profession, look at big data bachelor's and master's degree programs.

• Data Communication and Visualization

Data communication and visualisation are critical competencies for data scientists to successfully convey insights and discoveries to stakeholders who need to be more technical. Data scientists need to know how to select the appropriate visual aid and maintain simplicity. Adapting the message to the audience should be a familiar concept to them. Communication is an essential component of this talent. Proficiency with technologies such as Tableau and Power Business Intelligence is crucial for data scientists.

A data scientist often makes more money than a data analyst. On average, the salary for data analysts in Canada is approximately $60,000, whereas a data scientist salary in Canada is close to $89,000. Compared to data analysts, data scientists need a greater level of expertise. A data scientist investigates novel data collection and analysis approaches, whereas a data analyst uses existing data to provide insights and support decision-making.

You learned about the Data Scientist salary in Canada, the job description, and the qualifications required for this role in this blog. The average salary for a data scientist is close to $89,216 annually. Overall, Canada is a wonderful choice if you're looking for a job in the data science industry and want to advance your career in this subject.

Moreover, students who wish to know more about data science or want to opt for this course to study in Canada can contact our expert educational counsellors at any branch of Meridean Overseas Education Consultants (MOEC). Our specialist study abroad consultant will provide the best guidance and support you need to be admitted to the best colleges in Canada for study intake. They will also help you with the Canada study visa fees and applications. Students can also take free online counselling through our website. For more information or queries, contact application02@meridean.org or 1800-1230-00011.

Question: How much is the data scientist's salary in Canada for freshers?

Answer: The starting salary of a data scientist in Canada is about CAD 77,000, while the highest-earning data scientists may make up to CAD 137,000 annually. With experience, a master's degree in data science may earn up to CAD 199,000.

Question: Which company pays the highest data scientists in Canada?

Answer: According to various sources, the average yearly income for data scientists in Canada is CAD 80,540. Some of the top employers in the industry include Lighthouse Labs, Amazon, Shopify, and The Hospital for Sick Children. Meanwhile, data scientists in Canada make more money than data analysts. According to statistics, data analysts may make an average of CAD 60,416 per year.

Question: Is data science a good career option in Canada?

Answer: Indeed, a job in data science has advantages in Canada. According to projections from the Information and Communication Technology Council, it is anticipated to rank among the top 15 digital jobs in the upcoming ten years. The average salary of a data scientist in Canada is greater than in most other nations worldwide.

Question: What is the maximum data scientist salary in Canada?

Answer: When comparing the salaries of data scientists and machine learning engineers, machine learning engineers often earn more money, yet data scientists are also well compensated. A novice data scientist may make about CAD 77,000 per year, whereas the top income for an expert scientist can reach CAD 137,000.

Question: Is the data scientist job in demand in Canada?

Answer: One of the nations with a significant need for data scientists is Canada. In Canada, this is also one of the most in-demand occupations.

Question: Is the data scientist job high paying?

Answer: This is a very high-paying career since there is a growing need for data scientists and because it requires a high degree of abilities.

Question: In which city does the  Data Scientist earn more in Canada?

Answer: In cities like Toronto, Waterloo and Vancouver, data scientists can earn more than $93,000 per year.

Question: What are some of the popular companies that provide jobs and good pay to data scientists in Canada?

Answer: These are the top three companies that provide jobs at a good average pay in Canada:

Question: Does a data scientist earn more than a data analyst in Canada?

Answer: Yes, the data scientist job is more demanding, and because of this, they get paid more than a data analyst does in Canada.

Question: Which are the industries that pay the highest data scientist salary in Canada?

Answer: These are some of the industries that pay the highest data scientist salary in Canada: Education, Finance, Technology, Healthcare, and Transportation.