Join Canadian Tire Bank as a Data Scientist, focusing on predictive analytics to optimize customer strategies. Drive credit limit decisions and enhance operational efficiency through machine learning.

As a key player in the finance team, you will lead projects that shape credit strategies while utilizing your technical skills in data science. Your responsibilities will include comprehensive scorecard development and deployment, alongside critical data reviews and model evaluations. Collaborating with diverse stakeholders, your insight will inform strategic decisions and enhance customer segmentation schemes.

Key Responsibilities:
• Lead machine learning projects focused on credit and collection
• Manage full cycle scorecard design from planning to validation




• Deploy and track model updates and reporting
• Assess predictive model effectiveness and suggest improvements
• Engage with teams to synthesize business solutions

Requirements:
• Degree in data science, mathematics, or similar
• 3+ years in predictive scorecard and ML model development
• Robust skills in SQL and Python
• Experience with data manipulation libraries
• Background in credit risk management preferred

Utilize your expertise in data science to shape impactful financial solutions at Canadian Tire Bank.
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📌 Data Scientist Role at Canadian Tire Bank (Ontario)
🏢 Canadian Tire Corporation
📍 Ontario