Meridean Overseas
Updated On 04 June 2024 & Read Time 12 minutes
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Thinking about pursuing data science as a career option, but not sure of the pay scale and the work opportunities available for a data scientist! Worry not, as this blog focuses on answering the commonly asked question of data scientist salary in Canada. Along with the salary discussion, the blog has also mentioned other details like the cities that pay the highest to a data scientist, the skill required, the companies that offer jobs to the graduate, the pay scale as per the work experience and much more.
But before starting the blog, let’s understand why the data scientist job is emerging and what its scope is in Canada. The Canadian Occupational Projections System (COPS) projected that between 2022 and 2031, there will be a shortage of data scientists in Canada.
Now that we know the importance of data scientists in Canada, let’s understand the specifics via the blog!
Table of Contents
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.
Need detailed information about the data science course and its scope in Canada? Get free counselling from experts to study in Canada.
Talk to our CounsellorsIn this section, we have built a list of the top 15 high-paying data scientist salary in Canada:
Job |
Job Description |
Average Salary |
Data Scientist |
Make data-driven decisions by analysing and interpreting complicated data to gather insights. |
CAD 97,591 per year CAD 6,910 per month |
Business Intelligence Analyst |
Gather, examine, and evaluate data to produce insights and suggestions that guide company choices. |
CAD 80,466 per year CAD 5,697 per month |
Big Data Architect |
Create and oversee the execution of large-scale data solutions that satisfy organisational needs and facilitate data analysis and decision-making. |
CAD 85,000 per year CAD 7,083 per month |
Artificial Intelligence (AI) Developer |
Develop, create, and implement models and algorithms that give robots the ability to perform tasks and make judgments. |
CAD 90,000 per year CAD 7,500 per month |
Business Intelligence Developer |
Create, implement, and manage business information programs that aid decision-making and offer insights. Knowledge of software engineering is required. |
CAD 88,634 per year CAD 6,275 per month |
Application Architect |
Make sure software applications are designed and developed to fulfil the business needs of the organisation. |
CAD 100,000 per year CAD 8,333 per month |
Data Engineer |
To allow effective and efficient data processing and retrieval, as well as design, implement, and maintain data pipelines and infrastructure. |
CAD 101,723 per year CAD 7,202 per month |
Business Analyst |
Determine opportunities for improvement, analyse and evaluate business processes, and provide solutions to improve the organisation's effectiveness and efficiency. |
CAD 75,252 per year CAD 5,328 per month |
Machine Learning Scientist |
Develop, create, and use models and algorithms for machine learning to examine data and draw conclusions. |
CAD 111,012 per year CAD 7,860 per month |
Data Analyst |
Gather information, handle it, and run statistical analysis on large datasets to give valuable information to company decision-makers. |
CAD 75,179 per year CAD 5,323 per month |
Data Mining Engineer |
Create and put into practice procedures and algorithms to glean information and understanding from huge databases. |
CAD 121,611 per year CAD 8,610 per month |
Machine Learning Engineer |
Develop, create, and put into use machine learning systems and models to address challenging business issues. |
CAD 111,012 per year CAD 7,860 per month |
Quantitative Analyst |
Develop and implement trading strategies, analyse financial markets, and offer data-driven insights to help investors make decisions. |
CAD 87,735 per year CAD 6,212 per month |
Data Science Manager |
Supervise and guide a group of data scientists as they analyse large, complex data sets and offer answers and insights to enhance business choices. |
CAD 122,000 per year CAD 10,166 per month |
Chief Data Officer |
Oversee a company's data strategy and governance, guaranteeing data quality and generating insights to assist in making business choices. |
CAD 176,000 per year CAD 14,666 per month |
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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:
Experience Level |
Salary (in CAD) |
0-2 years |
124,00 |
2-5 years |
157,000 |
5-10 years |
206,000 |
10-15 years |
243,000 |
15-20 years |
269,000 |
20+ years |
286,000 |
Large MNCs and organisations find Canada to be an attractive market. Let’s explore which sectors most need data scientists.
Education
Finance
Technology
Healthcare
Transportation
E-commerce
Energy
Telecommunications
Retail
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:
Company |
Average Annual Salary (CAD) |
Technical Safety BC |
124,841 |
Yelp |
121,812 |
Shopify |
119,658 |
RBC |
100,435 |
Shopify |
114,139 |
Scotiabank |
105,307 |
Deloitte |
60,000 |
Ubisoft Entertainment Inc. |
73,986 |
Manulife |
63,186 |
Capital One Canada |
75,000 |
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The section showcases the Canada data scientist salary as per the cities; take a look:
City |
Average Annual Salary (CAD) |
Waterloo, Ontario |
105,603 |
Vancouver, British Columbia |
95,772 |
Calgary, Alberta |
94,004 |
Toronto, Ontario |
92,795 |
Ottawa, Ontario |
89,009 |
Mississauga, Ontario |
88,552 |
Montreal, Quebec |
83,236 |
Edmonton, Alberta |
81,269 |
Brampton, Ontario |
75,096 |
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:
Company |
Average Annual Salary (CAD) |
Technical Safety BC |
124,841 |
Yelp |
121,812 |
Shopify |
119,658 |
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.
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