Fraud Data Scientist at EnStream

Elevate digital trust in Canada as a Fraud Data Scientist with EnStream. Leverage machine learning and data analytics to turn fraud signals into actionable intelligence.

EnStream is looking for a hands-on Fraud Data Scientist to support critical fraud detection initiatives. This role requires strong analytical skills and the ability to communicate findings to both technical and non-technical audiences. You will work cross-functionally to build robust fraud data products that enhance digital trust.

Key Responsibilities:

• Serve analytical support during the hypercare for fraud initiatives

• Investigate and resolve fraud-related queries within SLAs

• Analyze fraud patterns to identify trends and gaps

• Transform analytical findings into actionable recommendations

• Generate and share fraud intelligence reports with partners

Requirements:

• Bachelor’s degree in a relevant quantitative field

• Experience in fraud or risk analytics

• Strong SQL skills and Python programming proficiency

• Ability to analyze large datasets for patterns

• Comfort operating in a fast-paced, ambiguous environment

Bring your expertise in fraud analytics and advanced data science to help EnStream enhance digital trust across Canada.
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