Data Scientist III

TDToronto, ON
CA$96,900 - CA$136,800Onsite

About The Position

The Data Scientist III supports Every Day Banking Products within Canadian Personal Banking (CPB), delivering advanced analytics that improve product strategy and portfolio performance. You will translate complex data into actionable insights that inform product strategy, customer experience, and pricing decisions, partnering closely with business, risk, and technology teams.

Requirements

  • 5+ years of experience in data science or advanced analytics, with ownership of complex, high-impact initiatives.
  • Degree in quantitative discipline (e.g., AI, data science, business management, statistics, economics, computer science, engineering).
  • Advanced proficiency in SQL and Python/PySpark, with experience building production-ready analytical solutions.
  • Strong foundation in statistics, experimentation (A/B testing), and applied machine learning.
  • Experience developing analytical data assets, automation & models at scale.
  • Strong communication skills and the ability to influence non-technical stakeholders.
  • Proficiency with Excel and PowerPoint.

Nice To Haves

  • Experience in financial services, particularly Canadian Personal Banking and/or Wealth.
  • Experience with Power BI.

Responsibilities

  • Deliver actionable insights from enterprise data to support product, pricing, customer, and portfolio decisions.
  • Lead advanced analytical work (e.g., regression, clustering, time series, causal inference) to solve complex business problems.
  • Act as a trusted advisor to business partners, influencing decisions through clear, compelling insights.
  • Design and build scalable data assets, dashboards, and analytical tools to enable repeatable insights.
  • Collaborate with Data & Technology partners to develop high-quality, reliable, and reusable data assets.
  • Communicate insights effectively to both technical and non-technical audiences, including senior leadership.
  • Mentor junior data scientists and contribute to analytics best practices.

Benefits

  • health and well-being benefits
  • savings and retirement programs
  • paid time off
  • banking benefits and discounts
  • career development
  • reward and recognition programs
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