Data Scientist I (Quants) – Insurance Model Validation
Toronto, ONThe Toronto-Dominion Bank (Canada)
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
Data Scientist III
Toronto, ONThe Toronto-Dominion Bank (Canada)
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.
Python, SQL, Databricks, Power BI
Data Scientist III
Toronto, ONThe Toronto-Dominion Bank (Canada)
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.
SQL, Python, PySpark, Databricks, Bitbucket, GitHub