Join Interac as a Data Science Intern in Toronto to gain hands-on experience in fraud detection, data analysis, and machine learning. Collaborate with experts, enhance your skills, and contribute to cutting-edge projects in a supportive and rewarding environment.
About
At Interac, we make products that help Canadians manage their money better. We do more than that too. We create fast money transfer solutions, new ways to pay for things like bus rides, and develop new technology like open banking. We’re helping shape the future of how Canadians use money.
Do you want to join a team of creative thinkers, problem solvers, tech experts, and top-notch developers? We want to hear from you.
As a Data Science Intern, you will report to the Leader of Fraud Analytics & Countermeasures. Your job will be to find useful insights into fraud detection and analyze data on fraud trends. You’ll work with Data Specialists to create data solutions for our business. You’ll also help the fraud team by providing research insights, data, and visualizations to help them understand the issues better.
Details
Locations: Toronto
Time Type: Full-time
Posted On: Posted Yesterday
Job Requisition ID: REQ-1266
Responsibility
- Finding useful insights into fraud detection and analyzing fraud trends.
- Creating and supporting data solutions for business needs.
- Working with large datasets using SQL and Python, and databases like Redshift and Oracle, and building machine learning models on cloud platforms.
- Working with fraud teams to provide research insights, data, and visualizations to help them understand fraud-related topics better.
- Improving existing data products to make them more accurate, usable, and efficient.
- Researching and developing new data science tools to improve fraud detection processes.
- Doing ad-hoc data analysis, making reports, and providing actionable insights using various reporting and data visualization tools.
- Developing and testing fraud detection rules and analyzing fraud trends and alerts.
Requirement
You bring:
- You are currently studying a relevant subject like computer science, cybersecurity, risk management, or IT in a university or college.
- Experience in data analysis, statistical modeling, and feature development in related fields.
- Skills in SQL and Python for handling and analyzing data.
- Experience with databases like Redshift and Oracle.
- Knowledge of building and testing machine learning models on cloud platforms.
- Strong teamwork skills to work well with fraud teams and other stakeholders.
- Excellent communication skills to explain complex data insights and visualizations clearly.
- Great attention to detail to improve data analysis and accuracy.
Bonus points if you have:
- Understanding of the payments or banking industry.
- Familiarity with risk or fraud detection.
Background Check Requirements
Interac requires employees to pass a background check completed by one of our service providers. This includes:
- Verifying employment history for the past 5 years
- Conducting a Canadian criminal record check
- Confirming education credentials
- Cross-checking Canadian ID
- Performing a public safety check
- Conducting a credit inquiry
How We Work
We believe that exceptional people have great ideas and passion for their work. Our culture promotes excellence and rewards contributions with:
- Connection: Work with talented individuals who share a common goal and passion.
- Core Values: Our core values define us and help us excel in our work.
- Compensation & Benefits: Pay is based on both individual and company performance, with a range of benefits and perks.
- Education: We invest in your professional growth to help you excel in your role.
Benefits
- Hands-On Experience: Gain practical skills in data analysis, statistical modeling, and machine learning with real-world applications.
- Professional Development: Work with experienced professionals and expand your knowledge in fraud detection and data science.
- Skill Enhancement: Improve your proficiency in SQL, Python, and working with databases like Redshift and Oracle.
- Collaborative Environment: Collaborate with fraud teams and other experts, enhancing your teamwork and communication skills.
- Career Growth: Access opportunities for future career advancement and network with professionals in the industry.
- Innovative Projects: Contribute to cutting-edge projects and research in data science and fraud prevention.
- Education Investment: Benefit from a culture that supports and invests in your professional development.
- Competitive Compensation: Receive competitive pay and access to various employee benefits and perks.