Research ML Scientist – Fraud & Digital Trust R&D

EnStream LP; Toronto; On-site; CAD 120,000 - 180,000; Full time

Job summary

EnStream LP in Toronto is seeking a Research ML Scientist to lead model development and validation for national-scale digital trust initiatives. This role is hands-on and high-ownership, shaping modeling standards behind a trusted platform.

You will drive R&D across tabular, graph, and foundation models, design validation frameworks, and collaborate with cross-functional teams to meet regulatory requirements.

Qualifications

• Advanced degree (PhD preferred) in Data Science, CS, Statistics, or a related field.
• Experience leading applied ML R&D across tabular, graph, or foundation models.
• Strong background in model validation methodologies in regulated/high-stakes environments.
• Proficiency in Python and standard ML/data science tooling; strong SQL skills.
• Experience taking models from research/prototype to production delivery.
• Ability to work independently and own ambiguous, high-priority initiatives.
• Strong written and verbal communication for regulatory or audit purposes.

Responsibilities

• Lead R&D on fraud and trust-scoring models across tabular, graph, and foundation model approaches.
• Own model validation end-to-end, including designing and running validation frameworks, testing methodologies, and performance benchmarks for regulated contexts.
• Evaluate model architectures for fraud detection and identity trust, balancing performance and interpretability.
• Document model development decisions, validation results, and testing rationale for audit.
• Partner cross-functionally to keep model delivery on track.

Skills

Applied ML R&D

Python

SQL

ML tooling

Communication

Education

PhD or equivalent in Data Science/CS/Statistics

Tools

Graph neural networks

Foundation model tuning

Job description

EnStream LP in Toronto is seeking a Research ML Scientist to lead model development and validation for national-scale digital trust initiatives. This role is hands-on and high-ownership, shaping modeling standards behind a trusted platform.

You will drive R&D across tabular, graph, and foundation models, design validation frameworks, and collaborate with cross-functional teams to meet regulatory requirements.