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 recent 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 current 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.

📌 Data Scientist Role At Canadian Tire Bank Oakville (Canada)
🏢 Sport Chek
📍 Canada