Data Scientist Student, Credit Risk (4 months) – Fall 2024

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Internships

At Canadian Tire, we are committed to providing students with a supportive and collaborative environment that fosters knowledge sharing and offers key experiences to help them develop their capabilities through projects and objectives. We believe in setting specific and measurable goals that align with our business objectives to support learning and help students achieve their full potential. Our culture emphasizes learning from others, continuous improvement, agility, growth, and innovation, and we are invested in building a talented, diverse workforce for the future of Canada and Canadian Tire. Additionally, we are dedicated to building strong relationships with our student employees by engaging with them throughout their education and career pursuits and creating opportunities for ongoing communication and relationship building.

 

What You’ll Do

  • Reporting to the Manager of Advanced Analytics Discovery & Design in Credit Risk to develop predictive models for strategic decisions such as credit limit assignment, marketing promotions, collections, and new account adjudication.
  • Assist in designing and implementing effective model deployment techniques and tracking performance metrics.
  • Contribute to the development of new predictive models by conducting preliminary data analyses and assessing feasibility and business impact.
  • Validate and evaluate predictive models using objective-specific metrics.
  • Build and maintain expertise in lending, credit scoring, behavior scoring, portfolio management, direct marketing, data mining, and industry trends.

 

What You Bring

  • Working towards a University degree in Mathematics (Statistics), or Computer Science
  • Demonstrated superior analytical, mathematical, and problem-solving skills
  • Knowledge of statistics and statistical models
  • Self-driven development of technical skills through projects or hackathons is an asset
  • Programming experience in Python/SAS/R; Working knowledge of Python’s data-manipulation libraries (ex. pandas)
  • Proven experience using Excel/Word/PowerPoint

 

Hybrid

 

We value flexibility. We have adopted a hybrid work model whereby employees use a combination of working in office and virtually in service of outcomes. Each leader is empowered to decide what work is best achieved in person based on the unique needs of their team. This role is based out of our CTFS office in Oakville, Ontario.

About Us

 

At Canadian Tire Services Limited/Canadian Tire Bank, it is our mandate to continue to create innovative and rewarding financial solutions for our customers. Our growing suite of products and services showcase the dynamic contributions from our employees and our success is driven by a strong vision, loyal customers, and our ability to build teams that reflect the diverse customers and communities in which we live and work. Join us, where there’s a place for you here.

 

CLICK HERE TO APPLY