Data Scientist

Company: Interac Corp.

Location: Toronto, Ontario

Type: Full-time

Level: mid

Posted: 2026-03-01

About this role

Who We Are:
Every transaction matters. Every Canadian matters. At Interac, we protect both — driving trust, security, and inclusion, so our digital economy thrives.


Founded in 1984, Interac connects Canadians through secure digital payments, advanced identity verification and industry-leading fraud protection. Connecting banks, businesses, and individuals, Interac enables millions to send, receive, and manage money safely and effortlessly every day — across both digital and physical environments.


As the backbone of Canada’s financial ecosystem, Interac facilitates over 20 million transactions daily, supported by trusted partnerships with government and financial institutions. Consistently ranked as Canada’s most reputable financial technology brand, Interac is deeply embedded in the daily lives of Canadians.


Who You Will Work With:
The vacant Data Scientist role will report to the Leader, Fraud Analytics & Countermeasures.


What You Will Do:

  • Collaborating with fraud product owners and software developers to enable deployment of fraud solutions that will scale across the company’s ecosystem.
  • Working with large complex data sets to solve difficult, non-routine analysis problems applying advanced analytical methods as needed.
  • Conducting end-to-end analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations.
  • Collaborating with business customers and fraud product owners to understand needs, recommend strategy enhancements, and deploy predictive analytics across multiple platforms.
  • Researching, developing, deploying and analyzing testing strategies to continuously improve current fraud related deliverables.
  • Preparing detailed documentation to transfer knowledge and satisfy governance and regulatory concerns.
  • Communicating technical fraud solutions to non-technical audiences.
  • Consulting on applying quantitative problem solving to business problems us...

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