Job Description
Take charge of Fraud Management's AI initiatives with a leading role as a Data Scientist. Drive development of predictive ML models and mentor a talented team in Toronto.
In this role, you will oversee machine learning advancements within Fraud Management, guiding senior data scientists while ensuring a high standard of ML model development. You'll work collaboratively with Fraud Strategy, IT, and Risk Management, focusing on tackling emerging fraud challenges. Your expertise will be vital as you lead technical validation and implement effective ML strategies.
Key Responsibilities:
• Manage and mentor senior data scientists on technical projects
• Develop supervised fraud detection models and explore anomaly detection
• Collaborate with Fraud IT for continuous ecosystem improvement
• Set standards for ML model development and deployment
• Provide thought leadership in data analytics and fraud strategies
Requirements:
• 5+ years in Machine Learning and data an...
In this role, you will oversee machine learning advancements within Fraud Management, guiding senior data scientists while ensuring a high standard of ML model development. You'll work collaboratively with Fraud Strategy, IT, and Risk Management, focusing on tackling emerging fraud challenges. Your expertise will be vital as you lead technical validation and implement effective ML strategies.
Key Responsibilities:
• Manage and mentor senior data scientists on technical projects
• Develop supervised fraud detection models and explore anomaly detection
• Collaborate with Fraud IT for continuous ecosystem improvement
• Set standards for ML model development and deployment
• Provide thought leadership in data analytics and fraud strategies
Requirements:
• 5+ years in Machine Learning and data an...
Job Details
- Location toronto, on
- Job Type Full-time
- Category Bio & Pharmacology & Health
- Posted Date June 04, 2026
- Application Deadline July 14, 2026