Data Scientist – Model Health & Governance

Contract: 6 months

Location: Toronto or Markham, ON

Start: ASAP

Hours: 37.5 hours/week

Positions: 1

Role Overview

Seeking a Data Scientist to support the ongoing health, monitoring and governance of production models within a Consumer Identity and Access Management/Fraud workplace. This role combines hands-on analytics with model monitoring, governance, documentation and stakeholder management.

Key Responsibilities

- Monitor performance, stability, usage and data quality across a portfolio of production models.
- Use Python, SQL, Databricks and PySpark to analyze large-scale datasets and model performance.
- Investigate performance issues, threshold breaches, data anomalies and emerging risks.
- Perform trend analysis and quantitative assessments to support model governance decisions.
- Support model onboarding, annual reviews, validation, model changes and remediation activities.
- Prepare and maintain model governance documentation, monitoring plans and validation responses.
- Coordinate with Model Validation, Compliance, Risk, Technology, business stakeholders and model vendors.
- Review and challenge vendor model documentation and performance reporting.
- Develop monitoring reports, dashboards and executive-level presentations.
- Identify opportunities to automate and improve model monitoring and governance processes.

Must-Have Requirements
- 2+ years of experience in Data Science, Analytics, Model Governance,



Model Risk, Fraud Analytics, Financial Crime Analytics or a related field.
- Strong hands-on Python and SQL skills.
- Experience with Databricks and PySpark in large-scale data environments.
- Understanding of machine learning and AI methodologies, including:
- Supervised and unsupervised learning
- Classification and regression
- Ensemble methods
- Anomaly detection
- Emerging AI solutions
- Ability to analyze and monitor model performance and investigate data/model issues.
- Strong documentation, presentation and communication skills.
- Ability to explain technical model concepts to non-technical stakeholders.
- 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, Model Risk Management, Compliance, Audit or Regulatory teams .
- Experience reviewing third-party/vendor models.
- Banking or financial services experience.
- Fraud or financial crime model experience.

Additional Details
- Potential for extension or conversion based on business needs and performance.
- Interview process consists of two stages, approximately one hour each.

Note: We use AI tools to: obtain basic information, detect plagiarism, false employment history or references, categorize your skills, and do an initial match with job posting.

📌 Data Scientist – Model Health & Governance (Toronto)
🏢 Infotek Consulting
📍 Toronto