Elevate Canadian Tire Bank's analytics capabilities as a Data Scientist, focusing on machine-learning innovations that enhance credit management. Utilize your expertise to develop and implement predictive models.
In this role, under the guidance of the Manager, you will research and assess new machine-learning tools for potential bank integration. This position emphasizes collaboration with various teams to ensure that analytical recommendations address credit risk effectively. Your experience in data science will be key in driving automation and enhancing operational efficiencies.
Key Responsibilities:
• Investigate and evaluate recent machine-learning tools for adoption
• Maintain and enhance custom predictive models for analytics




• Create performance benchmarks for machine-learning models
• Automate processes to improve division efficiency
• Conduct quantitative analyses for strategic recommendations
Requirements:
• Degree in a quantitative field (Statistics, Economics, Mathematics)
• Over 5 years of data science or analytics experience
• Programming skills in SAS, SQL, Python
• Excellent analytical and problem-solving abilities
• Familiarity with credit risk management is an asset
Apply your data expertise to make strategic contributions at Canadian Tire Bank.
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📌 Data Scientist Role at Canadian Tire Bank (Oakville)
🏢 Sport Chek
📍 Oakville