Data Science Intern
Interac Corp. Head Office
Interac Corp.
Discover more about everyday conveniences Interac can provide to make your life easier and payment solutions that can drive your business.Data Scientist Intern
At Interac, we design and deliver products and solutions that give Canadians control over their money so they can get more out of life. But that’s not all. Whether we’re leading real-time money movement, driving innovative commerce solutions like open payments for transit systems, or making advancements in new areas like verification and open banking, we are playing a key role in shaping the future of the digital economy in Canada.
Want to make a lasting impact amongst a community of creative thinkers, problem solvers, technical gurus and high-performance application developers? We want to hear from you.
Reporting to the Leader, Fraud Analytics & Countermeasures, the Data Science Intern will be responsible for providing actionable insights into rule-based fraud detection, feature development, and statistical analysis of new and existing fraud trends. They will work under general guidance of Data Specialists to identify, design, develop and support data solution for business. The Data Scientist will also have the opportunity to work with the fraud teams to provide deliverables including research insights, data assets, and visualizations to help the end-user develop a better understanding of the topic.
You’ll be responsible for:
Providing actionable insights into rule-based fraud detection, feature development, and statistical analysis of fraud trends.
Identifying, designing, developing, and supporting data solutions for business needs.
Manipulating and analyzing large datasets using SQL and Python, interfacing with databases such as Redshift and Oracle – you will be testing and building machine learning (ML) models on cloud platforms.
Collaborating with fraud teams to deliver research insights, data assets, and visualizations, enhancing the end-user's understanding of fraud-related topics.
Identifying and implementing improvements for existing data products to improve accuracy, usability, and performance.
Researching and developing new data science tools to improve the countermeasure process, including testing and validation.
Conducting ad-hoc data analysis, creating reports, and responding to data inquiries with actionable insights using various reporting and data visualization tools.
Developing and testing fraud detection rules and conducting fraud trend & alert analysis
Providing actionable insights into rule-based fraud detection, feature development, and statistical analysis of fraud trends.
You bring:
You are currently enrolled in a university or college program in a relevant discipline, like computer science, cybersecurity, risk management or IT
Experience in data analysis, statistical modeling, and feature development within relevant industries
Proficiency in SQL and Python for data manipulation and analysis
Experience with databases such as Redshift and Oracle
Familiarity with building and testing machine learning models on cloud platforms
Strong collaborative skills to work effectively with fraud teams and other stakeholders
You have excellent communication skills to convey complex data insights and visualizations clearly
Have strong attention to detail to improve analysis and data accuracy
Although not required, you have some familiarity or previous experience with the following:
Understanding of the payments/banking industry
Familiarity with risk or fraud detection
Workstyle: Hybrid
Location: Toronto
Term: January to April 2025
Working Days: Monday - Friday
IMPORTANT - PLEASE NOTE:
You must be eligible to work for Interac Corp. in Canada in a Full Time Capacity and to be eligible for Interac internship roles
You must be currently enrolled in a Canadian post secondary academic institution.
Interac requires employees to complete a background check that is completed by one of our service providers. We use this service to complete the following checks:
- Canadian criminal record check;
- Public safety verification;
- Canadian ID cross-check;
- 5-year employment verification;
- Education verification; and
- If applicable, Credit Inquiry and Social Media Check
How we work
We know that exceptional people have great ideas and are passionate about their work. Our culture encourages excellence and actively rewards contributions with:
Connection: You’re surrounded by talented people every day who are driven by their passion of a common goal.
Core Values: They define us. Living them helps us be the best at what we do.
Compensation & Benefits: Pay is driven by individual and corporate performance and we provide a multitude of benefits and perks.
Education: To ensure you are the best at what you do we invest in you
Tags: Banking Computer Science Data analysis Data visualization Machine Learning ML models Oracle Python Redshift Research SQL Statistical modeling Statistics Testing
Perks/benefits: Career development
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