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Data Science and Analytics Expert
2 months ago
About the Role:
At Interac Corp., we are seeking a highly skilled Data Science Intern to join our team. As a Data Science Intern, you will be responsible for providing actionable insights into rule-based fraud detection, feature development, and statistical analysis of fraud trends.
Responsibilities:
- Develop and implement data-driven solutions to improve fraud detection and prevention.
- Collaborate with fraud teams to deliver research insights, data assets, and visualizations to enhance the end-user's understanding of fraud-related topics.
- Manipulate and analyze large datasets using SQL and Python, interfacing with databases such as Redshift and Oracle – testing and building machine learning (ML) models on cloud platforms.
- Identify and implement improvements for existing data products to improve accuracy, usability, and performance.
- Conduct ad-hoc data analysis, creating reports, and responding to data inquiries with actionable insights using various reporting and data visualization tools.
- Develop and test fraud detection rules and conduct fraud trend & alert analysis.
You'll need:
- Current enrollment 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.
- Excellent communication skills to convey complex data insights and visualizations clearly.
- Strong attention to detail to improve analysis and data accuracy.
