Abishek Babu M

updated on 16-03-2023


Average Data Scientist Salary in Canada, Career & Scope

Average Data Scientist Salary in Canada, Career & Scope

A Data Scientist is a professional who use data to solve problems and assist organizations in making informed decisions. A variety of industries, such as healthcare, finance, transportation, and e-commerce, have recognized the value of data scientists and are now actively seeking to hire them. The national average Data Scientist Salary in Canada is CAD 121,000 per year (73.3 lakhs INR).

Due to the growing demand for data scientists in the job market, more companies are offering competitive salaries and benefits, resulting in an increase in available job opportunities. Data science is an interdisciplinary field that requires knowledge of statistics, scientific methodologies, algorithms, and a variety of other skillsets. This blog will dig into the Data Scientist Salary in Canada, job categories, essential skills, and other pertinent details.

Table of Contents:

Scope for Data Scientists in Canada

A data scientist gets paid a higher salary in Canada as compared to many other countries. On average, data scientists get a starting salary of $60,000 per year. Experienced data scientists can earn more than $100,000 a year. Canada focuses on innovation and technology which has given rise to many technology-driven companies. Hence there is high scope for data experts in Canada's employment landscape. Not just private companies, government sectors also have a huge demand for individuals with a data science degree. The increased use of artificial intelligence, machine learning, and big data has resulted in the growth of data science. IBM reported that the demand for data scientists in Canada is estimated to increase by 28% by 2022. Amazon.com, York Region, Wish.com, Prodigy Education, and Boston Consulting Group are some of the top companies for Data Scientists in Canada.

Industries Providing High Salary for Data Scientists in Canada

Canada is a big market for large MNCs and organisations. Look at what industries recruite data scientists and who pays them the most.

  1. Education: $80,000 - $110,000
  2. Finance: $90,000 - $130,000
  3. Healthcare: $85,000 - $120,000
  4. Technology: $90,000 - $140,000
  5. E-commerce: $90,000 - $130,000
  6. Transportation: $80,000 - $120,000
  7. Telecommunications: $90,000 - $140,000
  8. Energy: $90,000 - $130,000
  9. Consulting firms: $90,000 - $140,000
  10. Retail: $80,000 - $110,000

Highest-paying Cities for Data Scientists in Canada

top highest paying cities for data scientists in canada

  • Waterloo, ON - $105,603 per year
  • Vancouver, BC - $95,772 per year
  • Calgary, AB - $94,004 per year
  • Toronto, ON - $92,795 per year
  • Ottawa, ON - $89,009 per year
  • Mississauga, ON - $88,552 per year
  • Montréal, QC - $83,236 per year
  • Edmonton, AB - $81,269 per year
  • Brampton, ON - $75,096 per year

High-Paying Data Science Careers in Canada

Job Title Job Description Average Salary
Data Scientist Analyse and interpret complex data to extract insights and make data-driven decisions. CAD 121,631
Business Intelligence Analyst Collect, analyse, and interpret data to provide insights and recommendations that inform business decisions. CAD 77,630
Big Data Architect Design and manage the implementation of large-scale data solutions that meet business requirements and support data analysis and decision-making. CAD 85,000
Artificial Intelligence (AI) Developer Design, develop, and implement algorithms and models to enable machines to do tasks and make decisions. CAD 90,000
Business Intelligence Developer Design, develop, and maintain business intelligence solutions that provide insights and support decision-making. Software Engineering expertise needed. CAD 82,000
Application Architect Design and develop software applications, ensuring that they meet the organisation's business requirements. CAD 100,000
Data Engineer Design, develop, and manage data pipelines and infrastructure to enable efficient and effective data processing, and retrieval. CAD 131,120
Business Analyst Analyse and assess business processes, identify areas for improvement, and develop solutions to enhance organisational efficiency and effectiveness. CAD 79,500
Machine learning scientist Design, develop, and implement machine learning algorithms and models to analyze and extract insights from data. CAD 160,000
Data Analyst Collect, process, and perform statistical analyses on large datasets to provide insights for business decisions. CAD 86,956
Data Mining Engineer Design and implement algorithms and processes to extract insights and knowledge from large datasets. CAD 81,000
Machine Learning Engineer Design, develop, and implement machine learning models and systems to solve complex business problems. CAD 138,610
Quantitative Analyst Analyze financial markets, develop and implement trading strategies, and provide data-driven insights to support investment decisions. CAD 79,000
Data Science Manager Oversee and lead a team of data scientists to analyze complex data sets and provide insights and solutions to improve business decisions. CAD 122,000
Chief Data Officer Lead an organization's data strategy and governance, ensuring data quality, and driving insights to support business decisions. CAD 176,000

Source: https://ca.indeed.com/

Data Scientist Salary in Canada by Experience

  • Entry-Level (0-2 years): CAD $60,000 - $80,000 per year.
  • Mid Career (2-5 years): CAD $80,000 - $100,000 per year.
  • Senior/Experienced (5+ years): CAD $100,000 - $150,000 per year.
Company Average Salary
Technical Safety BC $124,841 per year
Yelp $121,812 per year
Shopify $119,658 per year
RBC $100,435 per year
Shopify $114,139 per year
Scotiabank $105,307 per year
Deloitte $60,000 per year
Ubisoft Entertainment Inc. $73,986 per year
Manulife $63,186 per year
Capital One Canada $75,000 per year

Highly Desired Skills for a Data Scientist

1. Mathematics and Statistics

Mathematics and statistics are the foundation for data science algorithms and models. These skills help in analysing data and drawing meaningful insights from it. Data scientists require these skills to develop and validate hypotheses, make predictions, and quantify uncertainties. It is also required to learn machine learning. Calculus is one of the most desired skills for a data scientist.

2. Programming

Programming is a crucial part of data science jobs. Proficiency in programming languages is mandatory for a data scientist. Data scientists should have knowledge of languages like Java, Python, Hadoop, SQL, and C++. Programming is needed to develop and implement complex algorithms and models. Proficiency in multiple languages can give you higher-paying employment options.

3. Data Analytics and Remodeling

Data scientists are required to have good skills in analytics and modelling data. Data analytics helps to understand data and extract meaningful insights. It helps in identifying patterns, performing predictive modelling and data visualisation. These skills are important for running tests, processing, and analysing data.

4. Machine Learning and Deep Learning

Machine learning and deep learning help data scientists make sense of large amounts of data. Machine learning algorithms are used to develop models that can identify patterns in data, classify data, and make predictions based on historical data. Deep learning is useful for image and speech recognition, natural language processing, and other complex tasks. It enables devices and gadgets to make independent decisions. Python is the most important language in machine learning and TensorFlow is a Python library.

5. Extraction, Loading, and Transformation of Data

Data scientists extract data from sources like MySQL, Google Analytics, and MongoDB. More the data sources, the more the quality of the data. This process involves loading data from multiple sources to a data warehouse. Data scientists with the knowledge of extracting, loading, and transforming data get a higher pay scale.

6. Big data

As a data scientist, there are several important big data skills you should have. Data scientists should have knowledge of frameworks like Hadoop and Spark to handle big data. As many organisations are using Big Data analytics to gain hidden business insights, it is a must-have skill for data scientists. Study bachelors and master's degree programs in Big Data to grow your data science career.

7. Data Communication and Visualization

Data Communication and Visualization are important skills for data scientists to effectively communicate insights and findings to non-technical stakeholders. Data scientists must know to choose the right type of visualisation and to keep it simple. They should know to tailor the message for the audience. Communication is a core aspect of this skill. Data Scientists must be skilled in tools like Tableau and Power Business Intelligence.

Data Analyst vs Data Scientist Salary

The income of a data analyst is generally lower than a data scientist. While data scientists earn nearly $89,000 a year, data analysts earn only $60,000 on average. Data scientists require a higher skill level than data analysts. A data analyst works with existing data to create insights and help decision-making, but a data scientist works on exploring new ways to capture and analyze data.


In this blog, you came across the Data Scientist Salary in Canada, the scope for this position, and the skills and abilities needed to do this job. A data scientist earns nearly $89,216 per year on average. If you are someone searching for a job in the data science field and want to build your career as a data scientist then Canada is a good option.

Frequently Asked Questions

1. How much does a Data Scientist make in Canada?

A data scientist in Canada earns nearly CAD 7,435 per month as of 1k salaries reported till March 2023.

2. Are data scientists in demand in Canada?

Canada is one of the countries where data scientist jobs are high in demand. Also this is one of the highest in-demand professions in Canada.

3. What is the highest-paid job in Canada?

Jobs related to artificial intelligence, machine learning, data science, information technology, etc. receive high pay in Canada. Different organizations pay differently for each of the jobs.

4. Is data scientist job high paying?

Since there is rising demand for data scientists and also as a job requiring a high level of skills, this is a very high-paying job.

5. Is Canada good for data science?

If you are interested in learning data science, Canada has a lot of universities that teach students courses like MS in data science. These courses come with excellent Data Science work opportunities in top companies.

6. Where can a Data Scientist earn more in Canada?

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

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