As of November 6, 2026, Jobsy lists 13 lead data scientist jobs in Toronto, ON. The most active employers are Royal Bank of Canada, Citi and Mastercard. Skills often requested: python, computer science, sql and statistics.
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Candidates need a Master's or Bachelor's degree in a quantitative field, proven experience leading data science projects, and substantial hands-on graph analytics skills. They also need advanced Python and SQL, experience with Spark, Hadoop and Databricks, and strong statistical and machine learning knowledge.
Candidates need proven experience delivering solutions with stakeholders, strong Python and Spark skills, and the ability to write complex queries on large datasets. A quantitative degree is preferred, and agentic AI experience is strongly preferred.
Royal Bank of Canada: Royal Bank of Canada is a global financial institution with a purpose-driven, principles-led approach to delivering leading performance.
Candidates need a strong grasp of AI technologies such as LLMs, agents and RAG, plus hands-on coding ability and experience building scalable systems. Experience creating technical standards or working with architecture review boards is also required.
Royal Bank of Canada: Royal Bank of Canada is a global financial institution with a purpose-driven, principles-led approach to delivering leading performance.
Candidates need a strong grasp of AI technologies such as LLMs, agents and RAG, plus hands-on coding ability and experience building scalable systems. Experience creating technical standards or working with architecture review boards is also required.
Royal Bank of Canada: Royal Bank of Canada is a global financial institution with a purpose-driven, principles-led approach to delivering leading performance.
5+ YOECandidates need 5+ years of in-depth data analytics experience and a university or master's degree in a quantitative field. They must know Python, Scala/Spark, SQL, Hive and GitHub, and understand AML and financial crime.
Royal Bank of Canada: Royal Bank of Canada is a global financial institution with a purpose-driven, principles-led approach to delivering leading performance.
5+ YOECandidates need 5+ years of in-depth data analytics experience and a university or master's degree in a quantitative field. They must know Python, Scala/Spark, SQL, Hive and GitHub, and understand AML and financial crime.
5+ YOECandidates need 5+ years of applied data science with measurable business impact, including models that drove paid media decisions such as spend, bidding or ad serving. Expert Python and SQL, and deep understanding of the models they have built, are required.
Candidates need a quantitative degree, proven experience leading data science projects to production, and substantial hands-on graph analytics skills. Strong Python, SQL, Spark, Hadoop and Databricks skills are also required, along with people-management experience.
Candidates need proven experience working with stakeholders, strong complex data queries, and Python and Spark for data manipulation. Experience with agentic AI and UNIX is an asset, and a quantitative degree is preferred.
3+ YOE1+ MgmtCandidates need a degree in computer science, engineering, math or statistics, 3 to 7 years of data science leadership experience, and strong Python skills. Experience with ETL, data pipelines and Snowflake is also needed.
Company 19 - John Hancock Life Insurance Company (U.S.A.)
8+ YOECandidates need a degree in a quantitative field, 8 years of applied statistics or machine learning experience, and Python or R with SQL. Life insurance underwriting knowledge and experience leading analytical work are also required.
5+ YOECandidates need 5+ years in data science or analytics in a B2B SaaS or subscription setting, with predictive model experience and strong Python skills. They also need experience with large usage or campaign datasets, experimentation, and explaining technical results to non-technical stakeholders.
Candidates need several years of hands-on experience building and deploying machine learning and deep learning solutions, and a deep grasp of the underlying algorithms and math. A Master's in computer science or a quantitative field is required, with a PhD an asset.
Python, R, TensorFlow, PyTorch, SQL, SAP HANA
Common questions
Who is hiring lead data scientists?
Royal Bank of Canada (4), Citi (3), Mastercard (3), Citibank Canada (3) and Canada: Mastercard Canada ULC, MCI (2).
What skills do lead data scientist jobs ask for?
Postings most often mention python, computer science, sql, statistics, machine learning, communication skills, research and documentation.