Data scientists

New Brunswick

The employment outlook will be Moderate for data scientists (NOC 21211) in New Brunswick for the 2025-2027 period.The following factors contributed to this outlook:Employment growth will lead to a moderate number of new positions.Not many positions will become available due to retirements.There are a small number of unemployed workers with recent experience in this occupation.These workers can be found across a variety of industries as their services are useful to a variety of operations. They are primarily employed in the professional, scientific and technical services industry, particularly in computer systems design firms, as well as various levels of government, financial institutions, healthcare, retail and e-commerce, and other large organisations. Ongoing developments in cybersecurity, cloud computing, artificial intelligence and other technologies will continue to support demand for data scientists going forward. The demand for data-driven decision making across businesses and governments will also support growth in this occupation. However, artificial intelligence has automated parts of a data scientist job, particularly routine junior-level tasks such as code writing and data cleaning, which will likely shift the tasks for data scientists going forward. As a result, the availability of junior-level roles may become limited, while intermediate and senior-level roles are more in demand. Experience and up-to-date skills in programming languages such as Python, Structured Query Language (SQL), and R will have the best employment prospects. In addition, experience with data visualization tools, such as Power BI and Tableau, big data platforms (Hadoop) and cloud platforms, including Amazon Web Services (AWS) or Azure, are common in job postings. Those who are willing to accept temporary or contract-based assignments may have greater employment opportunities. Here are some key facts about data scientists in New Brunswick: Approximately 150 people worked in this occupation in May 2021. Data scientists mainly work in the following sectors: Computer systems design services (NAICS 5415): 37%Provincial and territorial public administration (NAICS 912): 17%Insurance Carriers and related activities (NAICS 524, 526): 14%Federal government public administration (NAICS 911): 14%Other professional, scientific and technical services (NAICS 5414, 5416-5419): 7% 72% of data scientists work all year, while 28% work only part of the year, compared to 62% and 38% respectively among all occupations. Those who worked only part of the year did so for an average of 44 weeks compared to 42 weeks for all occupations.The gender distribution of people in this occupation is: Men: 67% compared to 52% for all occupations Women: 33% compared to 48% for all occupations The educational attainment of workers in this occupation is: no high school diploma: n/a high school diploma or equivalent: 14% compared to 30% for all occupations apprenticeship or trades certificate or diploma: n/a college certificate or diploma or university certificate below bachelor's: n/a bachelor's degree: 34% compared to 16% for all occupations university certificate, degree or diploma above bachelor level: 48% compared to 7% for all occupations

Alberta

The employment outlook will be Moderate for data scientists (NOC 21211) in Alberta for the 2025-2027 period.The following factors contributed to this outlook:Employment growth will lead to a few new positions.Not many positions will become available due to retirements.There are a moderate number of unemployed workers with recent experience in this occupation.Demand for this occupation is driven by rapid technological advancement, the expansion of digital services, and the increasing complexity of software and systems.Key trends for this occupation are in artificial intelligence (AI), the Internet of Things (IoT), virtual and augmented reality, blockchain, cybersecurity, and cloud technologies.Most employment opportunities will be in Calgary or Edmonton.Here are some key facts about data scientists in Alberta: Approximately 4,150 people work in this occupation. Data scientists mainly work in the following sectors: Computer systems design services (NAICS 5415): 34%Oil and gas extraction (NAICS 211): 10%Monetary Authorities - central bank and securities, commodity contracts and other intermediation and related activities (NAICS 521, 522, 523): 7%Architectural, engineering and design services (NAICS 5413): 6% The distribution of full-time and part-time workers in this occupation is:Full-time workers: 93% compared to 80% for all occupationsPart-time workers: 7% compared to 20% for all occupations77% of data scientists work all year, while 23% work only part of the year, compared to 61% and 39% respectively among all occupations. Those who worked only part of the year did so for an average of 45 weeks compared to 42 weeks for all occupations.11% of data scientists are self-employed compared to an average of 15% for all occupations.The gender distribution of people in this occupation is: Men: 67% compared to 53% for all occupations Women: 33% compared to 47% for all occupations The educational attainment of workers in this occupation is: no high school diploma: n/a high school diploma or equivalent: 7% compared to 28% for all occupations apprenticeship or trades certificate or diploma: n/a college certificate or diploma or university certificate below bachelor's: 6% compared to 19% for all occupations bachelor's degree: 34% compared to 21% for all occupations university certificate, degree or diploma above bachelor level: 52% compared to 9% for all occupations

British Columbia

The employment outlook will be Moderate for data scientists (NOC 21211) in British Columbia for the 2025-2027 period.The following factors contributed to this outlook:Employment growth will lead to several new positions.Not many positions will become available due to retirements.There are a moderate number of unemployed workers with recent experience in this occupation.Some analytical duties of this occupation are likely to change with adoption of digital innovations, which may enable workers to do their jobs more efficiently.  Examples include cloud computing to improve data management and analysis (for example forecasting, optimizing, natural language processing), and blockchain for transparent and secure digital transactions.  Some technology companies, particularly software engineering teams, are transforming to adapt to AI as a product feature and to replace staff as a central operational strategy.Here are some key facts about data scientists in British Columbia: Approximately 4,400 people work in this occupation. Data scientists mainly work in the following sectors: Computer systems design services (NAICS 5415): 37%Monetary Authorities - central bank and securities, commodity contracts and other intermediation and related activities (NAICS 521, 522, 523): 9%Information and cultural industries (NAICS 51): 9%Insurance Carriers and related activities (NAICS 524, 526): 6%Other professional, scientific and technical services (NAICS 5414, 5416-5419): 5% 73% of data scientists work all year, while 27% work only part of the year, compared to 61% and 39% respectively among all occupations. Those who worked only part of the year did so for an average of 45 weeks compared to 42 weeks for all occupations.7% of data scientists are self-employed compared to an average of 17% for all occupations.The gender distribution of people in this occupation is: Men: 72% compared to 52% for all occupations Women: 28% compared to 48% for all occupations The educational attainment of workers in this occupation is: no high school diploma: n/a high school diploma or equivalent: less than 5% compared to 28% for all occupations apprenticeship or trades certificate or diploma: n/a college certificate or diploma or university certificate below bachelor's: less than 5% compared to 17% for all occupations bachelor's degree: 34% compared to 22% for all occupations university certificate, degree or diploma above bachelor level: 57% compared to 12% for all occupations