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 environment.

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 prospect 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
Robust programming skills in Python and SQL
Hands-on work with Databricks, PySpark, and large-scale data settings
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