Our banking client is seeking a Data Scientist (2+ years of experience) to support model monitoring and governance using Python, SQL, Databricks, and PySpark Join a Model Health Center of Excellence supporting consumer reidentification and access management initiatives within a large financial services setting.

This role focuses on model monitoring, governance, analytics, validation support, and stakeholder coordination across production models and AI-related initiatives.

The position offers exposure to multiple business lines, emerging AI activities, and a broad range of model governance work.

This is a backfill opportunity with potential extension based on business needs and performance.

Contract, Toronto, Hybrid, 2 days in office / Front Street West or Steeles Ave East Markham, 6 months Must Haves 2+ years in data science , model governance , fraud analytics, financial crime analytics, or related analytics fields Strong programming skills in Python and SQL Hands-on work with Databricks , PySpark , and large-scale data environments Understanding of machine learning and AI model methodologies , including supervised and unsupervised learning, classification and regression models, ensemble methods,



and anomaly detection Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, Risk Management, or a related quantitative discipline Nice to Have Experience working with Model Validation, Compliance, Audit, Model Risk Management, or Regulatory partners Experience working with third-party model vendors and reviewing vendor models Prior banking or financial institution experience Responsibilities Execute ongoing monitoring activities across a portfolio of production models Extract, transform, analyze, and monitor large datasets using Python, SQL, Databricks, and PySpark Evaluate model performance, stability, usage, data quality, operational outcomes, and monitoring metrics Investigate model performance issues, monitoring threshold breaches, data anomalies, and emerging risks Prepare and maintain governance documentation including monitoring plans, validation responses, and supporting evidence Coordinate responses to Model Validation, Compliance, Audit, and Regulatory inquiries Support automation, process efficiencies, and governance transformation initiatives

📌 Data Scientist (2+ years of experience) to support model monitoring and governance using Python, SQL, Databricks, and PySpark 58568 (Toronto)
🏢 S.i. Systems
📍 Toronto