Consultant Salary in Canada during 2024

Salary details

The average Consultant salary lies between USD 69,000 and USD 102,000 in Canada. It represents the overall compensation/gross salary amount for the working year (before deductions like social security, taxes and other contributions), not including equity/stock options or similar benefits.

Region represents the primary country of residence of an employee during the year (or residence for tax purposes). All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.

Last updated: Nov. 10, 2024

Top 20 Job Tags for Consultant roles

The three most common job tag items assiciated with Consultant job listings are Python, SQL and Consulting. Below you find a list of the 20 most occuring job tags in 2024 and the number of open jobs that where associated with them during that period:

Python | 1846 jobs SQL | 1617 jobs Consulting | 1434 jobs Engineering | 1382 jobs Machine Learning | 1286 jobs Computer Science | 1150 jobs R | 878 jobs Architecture | 869 jobs Azure | 845 jobs Statistics | 830 jobs Power BI | 825 jobs Agile | 822 jobs AWS | 727 jobs Big Data | 719 jobs Data Analytics | 700 jobs Tableau | 685 jobs Security | 669 jobs ETL | 661 jobs Data management | 641 jobs Mathematics | 621 jobs

Top 20 Job Perks/Benefits for Consultant roles

The three most common job benefits and perks assiciated with Consultant job listings are Career development, Flex hours and Health care. Below you find a list of the 20 most occuring job perks or benefits in 2024 and the number of open jobs that where offering them during that period:

Career development | 1836 jobs Flex hours | 787 jobs Health care | 686 jobs Team events | 680 jobs Equity / stock options | 538 jobs Startup environment | 530 jobs Competitive pay | 501 jobs Salary bonus | 479 jobs Insurance | 394 jobs Parental leave | 306 jobs Flex vacation | 285 jobs Medical leave | 236 jobs Fitness / gym | 211 jobs Wellness | 121 jobs 401(k) matching | 105 jobs Conferences | 93 jobs Flexible spending account | 76 jobs Fertility benefits | 76 jobs Transparency | 72 jobs Gear | 59 jobs

Salary Composition

In Canada, the salary composition for an AI/ML/Data Science Consultant can vary significantly based on factors such as region, industry, and company size. Typically, the salary is composed of a fixed base salary, which forms the bulk of the compensation package. This base salary can be supplemented by performance-based bonuses, which are often tied to individual or company performance metrics. Additionally, some companies offer stock options or equity, especially in tech startups or larger tech firms, as a form of long-term incentive. In larger metropolitan areas like Toronto or Vancouver, salaries might be higher due to the cost of living and demand for skilled professionals. Conversely, smaller companies or those in less tech-centric regions might offer lower base salaries but could compensate with higher bonuses or other benefits.

Increasing Salary

To increase your salary from the median level, consider pursuing advanced roles or specializations within the AI/ML field. This could involve gaining expertise in niche areas such as natural language processing, computer vision, or deep learning. Additionally, taking on leadership roles, such as leading a team of data scientists or managing projects, can also lead to higher compensation. Networking within the industry and staying updated with the latest trends and technologies can open up opportunities for higher-paying positions. Pursuing further education, such as a master's degree or Ph.D., or obtaining certifications in advanced AI/ML techniques can also enhance your qualifications and salary prospects.

Educational Requirements

Most AI/ML/Data Science Consultant roles require at least a bachelor's degree in a related field such as computer science, data science, statistics, or engineering. However, many employers prefer candidates with a master's degree or higher, especially for more senior positions. A strong foundation in mathematics, statistics, and programming is essential, as these skills are critical for developing and implementing machine learning models and data analysis.

Helpful Certifications

Certifications can be a valuable addition to your resume, demonstrating your commitment to professional development and expertise in specific areas. Some common and beneficial certifications include:

• Certified Data Scientist (CDS)
• Google Professional Machine Learning Engineer
• Microsoft Certified: Azure AI Engineer Associate
• AWS Certified Machine Learning – Specialty

These certifications can help validate your skills and knowledge, making you a more attractive candidate for higher-level positions.

Required Experience

Typically, AI/ML/Data Science Consultant roles require several years of experience in data analysis, machine learning, or a related field. Entry-level positions might require 1-3 years of experience, while more senior roles could demand 5-10 years. Experience in consulting, project management, or working in specific industries (such as finance, healthcare, or technology) can also be advantageous. Practical experience with data manipulation, model building, and deployment, as well as familiarity with tools like Python, R, TensorFlow, or PyTorch, is often expected.

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