Use Python, PySpark, and SQL as a Product Analytics Data Scientist with TD in Toronto, developing insights for personal lending decisions. As part of TD's Canadian Personal Banking Analytics, Insights and Artificial Intelligence team, you will support Credit Cards and Personal Lending. You will translate stakeholder needs into analytical solutions, interpret complex data, and inform enterprise-wide decisions. The acquisition and engagement team supports TD's credit cards product function.

Key Responsibilities
Own data-driven solutions for Canadian Personal Line of Credit Gather requirements and translate business needs into analytical solutions Prepare large datasets using Python, PySpark,



and SQL Visualize insights for technical and business decision-makers Collaborate on scalable machine learning and data science solutions

Requirements:
Three or more years of relevant data science experience Academic background in mathematics, statistics, or computer science Experience with Tableau, Power BI, Databricks, Python, PySpark, and SQL Solid problem-solving and communication skills Knowledge of consumer lending is preferred Apply data science, visualization, and stakeholder partnership skills to advance TD's personal lending analytics in Toronto.

📌 Data Scientist (Canada)
🏢 TD
📍 Canada