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Is Data Science and Artificial Intelligence in Demand in Canada?

Canada’s economy is one of the most sophisticated and largest in the world. According to the most recent World Bank estimates, the country’s annual gross domestic product (GDP) would be $1.64 trillion in current USD in 2020.

The service sector dominates in Canada, employing three-quarters of the workforce. Transportation, lumber, paper goods, minerals, natural gas, seafood, and chemicals are all important industries. Gold, nickel, aluminium, and crude oil are among the country’s abundant natural resources.

In 2022, the IT sector is predicted to increase by 5.3 percent, with 22.4 percent growth forecast for the years 2021-24. Tech companies that have completed acquisitions in the last ten years are three times more likely than their peers to have had annual sales growth of 5% or more in the previous year.

The tech sector in Canada is booming right now. Toronto, Montreal, and Vancouver are establishing themselves as technology leaders in fields such as artificial intelligence and clean technology. Canada has made a collective attempt to charm tech expertise. The demand for competent Data Scientists and AI specialists is growing across industries such as banking, healthcare, finance, insurance, media and entertainment, telecom, and e-commerce, to name a few. Presently, the demand for professionals outnumbers the supply.

What is Data Science?

Data science is a field that extracts usable insights from data by combining domain knowledge, computer skills, and math and statistics knowledge. Machine learning algorithms are used with numbers, text, photos, video, audio, and other data to create artificial intelligence (AI) systems that can execute jobs that would normally need human intelligence. As just a result, these systems generate insights that analysts and business users can use to generate commercial value.

Watch the video – What is Data Science?

Why is data science a popular career?

Finance, marketing, retail, information technology, and banking are among the industries seeking to make a go of their data. All of them are on the lookout for data science professionals. As a result, Data science in Canada is in high demand. Because of the type of money that a business may provide and IBM’s assertion that it is the trendiest job of the twenty-first century, it is a rewarding vocation for many. In this sector, anyone from any background can work as a Data Scientist.

Data scientist, data analyst, data engineer, machine learning engineer, research scientist, business intelligence developer, data architect, statistician, and big data engineer are some of the most common data science job roles.

Check out the article – How to Become a Data Scientist in 2022?

What is the data scientist’s salary in Canada?

Big data and data science career prospects are rising as an ever-increasing number of companies see the value of employing analytical data to improve business procedures. And the payroll for data science professionals is no less!

The data from payscale.com states the average annual data scientist salary in Canada is CA$79981. Indeed.com discloses the average salary for a data scientist in Canada to be CA$80,646 per annum. The average data scientist salary in Canada is CA$87,248 a year as per Glassdoor.com. Salaryexpert.com framed the annual salary for a data scientist in Canada to be CA$129,596. The average income for a data scientist with 1-3 years of experience is CA$91,102. A senior-level data scientist (8+ years of experience) on the other hand, makes an average of $160,846.

Data science in Ottawa, the capital city of Canada is a profitable career option for candidates to choose. The average data scientist salary in Ottawa is CA$96,766 a year (Glassdoor.com) Indeed reported the salary for a data scientist in Ottawa as $84070 per annum. Whereas, the data scientist’s salary in Ottawa per year is C$76178. (Payscale)

Do you wish to seek a career in data science?

DataMites is the global Data Science Training Institute in Canada. We offer specialised data science courses for people of all levels, from complete novices to working professionals and managers. Data Science for Managers Course can be taken by managers at all levels of an organisation to strengthen their managerial abilities and integrate data science into their operations.

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Those certain trends that will impact data scientists’ work in the future include a growing thrust for explainable AI, which offers information to help people recognise how AI and machine learning models work and how much to trust their findings in making decisions, as well as a linked focus on liable AI principles, which ensures that AI technologies are fair, impartial, and transparent.

Artificial intelligence (AI) is a rapidly evolving field of technology, and given the complexities of massive data management, as well as the training and skills required to build AI, many firms are on the lookout for AI talent.

The most in-demand AI job roles include big data engineer, AI engineer, business intelligence developer, ML engineer, data scientist, research scientist, and robotics scientist.

How much is the AI salary in Canada?

While the industry’s competitiveness is expected to heat up in the coming months, the present IT talent pool has already set its sights on artificial intelligence as a source of rich pay and a gratifying career path. As per payscale.com, a person with skills in Artificial Intelligence in Canada receives an average salary of CA$99,000 per annum. According to Talent.com, the average annual salary for a data scientist in Canada is CA$79,000. Glassdoor.com stated that the data scientist’s salary in Canada is CA$102,973 per annum. The economic research institute reports that on average a data scientist in Canada is $123,363 a year. AI in Ottawa is evolving and becoming a more and more significant contributor to the economy. An AI Engineer’s salary in Ottawa per year is $81,838. (Glassdoor.com).

Are you up for an AI career?

Many jobs have been generated in the artificial intelligence (AI) field for aspiring professionals all over the world. Attaining Artificial Intelligence Certification Training from DataMites is undoubtedly the best move you can make. DataMites is a global institute for data science and artificial intelligence training. A complete grip over AI is possible only after getting trained by experts with decades of experience in the industry. DataMites AI Engineer Certification Training is specially designed for professionals development in the field of data science and artificial intelligence.

Read – How to Become an AI Engineer in 2022?

Conclusion
Job searchers have a plethora of options available to them. It is the fastest-growing career on LinkedIn, with 11.5 million jobs expected to be created by 2026. As a result, AI and Data Science are in high demand.

Check out the video – Artificial Intelligence Course Introduction.

About Data Science Team

DataMites Team publishes articles on Data Science, Machine Learning, and Artificial Intelligence periodically. These articles are meant for Data Science aspirants (Beginners) and for those who are experts in the field. It highlights the latest industry trends that will help keep you updated on the job opportunities, salaries and demand statistics for the professionals in the field. You can share your opinion in the comments section. Datamites Institute provides industry-oriented courses on Data Science, Artificial Intelligence and Machine Learning. Some of the courses include Python for data science, Machine learning expert, Artificial Intelligence Expert, Statistics for data science, Artificial Intelligence Engineer, Data Mining, Deep Learning, Tableau Foundation, Time Series Foundation, Model deployment (Flask-API) etc.

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