Embark on a agile career as a Credit Risk Data Scientist at Canadian Tire. Your contributions will directly impact customer relationship management through advanced modeling and strategic analytics.

This role, reporting to the Modeling & Segmentation Analytics Manager, aims to enhance the credit card portfolio's profitability by executing machine learning models and developing predictive insights. You'll engage with data to form actionable strategies that translate to marketing, collections, and more.

Key Responsibilities:
• Develop predictive models for credit limit assignments
• Analyze customer behavior to strengthen credit strategies
• Implement performance tracking for all deployed models




• Conduct preliminary analyses and validate predictive outputs
• Handle ad-hoc requests involving complex data

Requirements:
• Currently studying in Mathematics, Computer Science, or Statistics
• Strong programming capabilities in Python/SAS/R
• Knowledge of statistical models and data manipulation
• Proven analytical and problem-solving skills
• Excellent verbal and written communication abilities

Bring your passion for data science to enrich the Canadian Tire customer experience.
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📌 Machine Learning Analyst - Credit Risk (Ontario)
🏢 SportChek
📍 Ontario