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
- Strong 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.
Product Analytics Data Scientist employer: TD
TD Securities is an exceptional employer located in Toronto, Ontario, offering a dynamic work environment that prioritizes innovation and professional growth. With a strong commitment to employee development, competitive compensation, and a comprehensive benefits package, TD fosters a culture of collaboration and inclusivity, empowering colleagues to thrive both personally and professionally. Join a forward-thinking team where your contributions are valued, and you can make a meaningful impact in the capital markets sector.
