As of November 6, 2026, Jobsy lists 88 data scientist jobs in Toronto, ON. The median advertised pay is $121,243 a year (from 10 postings). The most active employers are Fetch, The Toronto-Dominion Bank (Canada) and Randstad Canada. Skills often requested: python, sql, machine learning and statistics.
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Candidates need expert Python skills, experience applying AI and machine learning to business problems, and strong SQL and big data skills. They also need Power BI expertise, a relevant STEM degree and strong communication skills.
Python, SQL, Hadoop, Spark, Power BI, Google Cloud
5+ YOEBank of Montreal needs candidates with 5 to 7 years of relevant experience and a post-secondary degree in a related field, or an equivalent mix of education and experience. Strong skills in statistics, machine learning, deep learning, programming, data visualization and communication are required.
5+ YOECandidates need typically 5 to 7 years of relevant experience and a post-secondary degree in a related field, or an equivalent mix of education and experience. Strong skills in statistics, machine learning, big data, data visualization and programming are needed.
Data mining, ML, Decision making, Technical support, Statistics, Research
3+ YOECandidates need about 3 years of relevant experience or equivalent certification and education, with strong programming in Python or SAS. They also need SQL and big data skills (Hadoop, Spark), and cloud modeling or pricing optimization experience is an asset.
5+ YOEBank of Montreal needs candidates with 5 to 7 years of data science experience and an advanced degree in a quantitative field. They must be skilled in SQL, Python and PySpark and in machine learning packages, with experience building fraud models for a large financial institution.
BDO Canada LLP: BDO Canada LLP is a leading provider of professional services to clients across a variety of sectors and segments.
5+ YOECandidates need a master's or PhD in a quantitative field and 5+ years building machine learning models in production. Strong Python, SQL and NoSQL skills, cloud deployment experience and clear communication are required.
5+ YOECandidates need a PhD in Computer Science, Statistics or a related field, or an MS with 5+ years of applied ML experience. They need strong skills in machine learning, deep learning and statistics, Python proficiency, and habitual use of AI coding tools.
Canadian Imperial Bank of Commerce (Canada): C'est aussi pourquoi une carrière à la Banque CIBC est plus qu'un emploi : c'est une occasion de grandir et de travailler aux côtés de certaines des…
Candidates need a degree or diploma in analytics, statistics or computer science, plus experience with SQL, SAS, Python or Tableau. Strong modeling, communication and leadership skills are also required.
Canadian Imperial Bank of Commerce (Canada): C'est aussi pourquoi une carrière à la Banque CIBC est plus qu'un emploi : c'est une occasion de grandir et de travailler aux côtés de certaines des…
Candidates need experience in SQL and Python, a strong grounding in statistics, and an understanding of the machine learning model lifecycle. A degree or diploma in a quantitative field, or equivalent practical experience, is also needed.
Stripe: Headquartered in San Francisco and Dublin, the company aims to increase the GDP of the internet.
8+ YOECandidates need years of quantitative finance or risk experience at a financial institution, with exposure to FX, rates or market risk. They must know statistics, time-series modeling, VaR and hedging instruments, write production-quality Python and SQL, and communicate clearly with senior non-technical stakeholders.
Canadian Tire Corporation, Limited: In addition, CTC owns and operates Helly Hansen, a leading technical outdoor brand based in Oslo, Norway.
4+ YOECandidates need four or more years in data science and analytics, preferably in retail or supply chain, plus strong Python, PySpark and SQL skills. A university degree, often at graduate level, and the ability to lead and influence others are also required.
1+ YOECandidates need a post-secondary degree in actuarial science, statistics, AI/ML or financial engineering, and deep knowledge of ML/AI modelling with programming skills. Actuarial designations (FSA, ACAS, ACIA), insurance pricing experience and strong communication skills are assets.
Programming languages and software for AI/ML modelling
1+ YOECandidates need a post-secondary degree in actuarial science, statistics, AI/ML or financial engineering, and deep knowledge of ML/AI modelling with programming skills. Actuarial designations (FSA, ACAS, ACIA), insurance pricing experience and strong communication skills are assets.
Programming languages and software for AI/ML modelling
5+ YOECandidates need 5+ years in data science, analytics, process transformation or project leadership, plus a quantitative degree. They also need strong Python and SQL skills, experience with AI tools and Databricks, and proven stakeholder influence.
5+ YOECandidates need 5+ years of data science experience, a quantitative degree, and advanced SQL and Python/PySpark skills, including production work in Databricks. Strong statistics, machine learning, A/B testing and stakeholder communication are required.
4+ YOECandidates need 4-5+ years in data science, including building predictive models and explaining results to non-technical users. Proficiency in SQL, R, Python and relational databases is required, along with a passion for baseball and strong communication skills.
Xanadu: is a Canadian quantum technology company, and one of the world's leading photonic quantum hardware providers.
3+ YOEXanadu needs a candidate with an MSc or PhD, or a BSc with equivalent industry experience, in a quantitative field. Candidates need 3+ years applying data science to operational problems, strong statistics and optimisation skills, and Python proficiency.
Xanadu: is a Canadian quantum technology company, and one of the world's leading photonic quantum hardware providers.
2+ YOEXanadu needs a candidate with an MSc or PhD in a quantitative field and at least two years of experience analyzing experimental data. They must know statistical modelling, uncertainty quantification and Python, and must be able to work across scientific and engineering teams.
Xanadu: is a Canadian quantum technology company, and one of the world's leading photonic quantum hardware providers.
7+ YOEXanadu needs candidates with a quantitative bachelor's degree and 7+ years in data science or applied ML, including shipped data products. Strong statistics, Python, SQL or Spark skills, and experience with noisy experimental data and mentoring are required.
3+ YOECandidates need 3 to 7 years of data science or machine learning experience, 2 or more years in financial services, and strong Python, SQL and statistics skills. Experience with explainability methods, financial crime domain knowledge and at least one model delivered into a client workflow are required.
Insight Global: Insight Global is an international talent and consulting company that delivers business outcomes in an ever-changing world.
7+ YOECandidates need 7+ years in data science, applied machine learning or predictive analytics, plus advanced Python and SQL. They must be able to work independently, explore complex data and communicate clearly with senior stakeholders.
Python, SQL, Google Cloud Platform, BigQuery, Looker
5+ YOECandidates need at least five years of data science or machine learning experience and two years building models in programmatic advertising. Strong statistics, deep learning and hands-on TensorFlow or PyTorch skills are required, plus experience monitoring models with Prometheus and Grafana.
Numeris: Numeris is a leading audience data company curating data and insights that makes sense of media behaviours in a cross-platform, cross-media world.
3+ YOECandidates need a degree in statistics, data science, mathematics or a related quantitative field, up to three years of similar experience, and strong applied statistics skills. They must be proficient in Python or SQL and communicate findings clearly to varied audiences.
6+ YOECandidates need a quantitative degree, six or more years of data science or machine learning experience, and strong Python and SQL skills. Experience deploying and monitoring models in production and running experiments such as A/B tests is also required.
Python, Spark, Google Cloud Platform, Microsoft Azure, Microsoft Fabric, Vertex AI
How much does a data scientist make in Toronto, ON?
The median advertised pay is $121,243 a year, across 10 postings that list pay. The lowest quarter pays under $105,856 and the top quarter over $137,691.
Who is hiring data scientists?
Fetch (6), The Toronto-Dominion Bank (Canada) (5), Randstad Canada (5), Intact Financial Corporation (5) and DataVisor (4).
What skills do data scientist jobs ask for?
Postings most often mention python, sql, machine learning, statistics, communication skills, computer science, ml and research.