Data Scientist

Location: Toronto, ON

Onsite Flexibility: Hybrid

Contract Details

- Position Type: Contract
- Contract Duration: 6 months (with potential for extension)
- Pay Rate: C$50.00–C$65.00 / Hour (CAD)
- Shift / Schedule: Monday��Friday, core business hours – 37.5 hours per week, 7.5 hours per day
- Travel Requirements: Not required
- Conversion Potential: Possibility – based on business needs and performance

Job Summary

The Model Health Center of Excellence (CoE) is responsible for ensuring models remain compliant, effective, monitored, and sustainable throughout their lifecycle. The team serves as the primary liaison between Business Owners, Model Vendors, Model Validation (MV), Compliance, Model Risk Management (MRM), Technology, and other governance partners to support model onboarding, validation readiness, performance monitoring, remediation, and ongoing model governance activities.

We are seeking a highly motivated Data Scientist to join the Model Health CoE. This role combines analytics, model monitoring, governance, documentation, and stakeholder management. The successful candidate will represent the First Line of Defense for assigned models and work cross-functionally to ensure models meet business objectives, governance requirements, and regulatory expectations.

Key Responsibilities

Model Performance Monitoring & Analytics

- Execute ongoing monitoring activities across a portfolio of production models.
- Use Python, SQL, Databricks, and PySpark to extract, transform, analyze, and monitor large datasets.
- Evaluate model performance, stability, usage, data quality, operational outcomes, and key monitoring metrics.
- Investigate model performance issues, monitoring threshold breaches, data anomalies, and emerging risks.
- Perform trend analysis and quantitative assessments to support model governance decisions.
- Develop monitoring reports, dashboards, and executive-ready presentations for stakeholders.

Model Governance & Validation Support

- Act as the primary First Line representative for assigned models during model lifecycle activities.
- Support model onboarding, annual model reviews, ongoing validation, model changes, and remediation initiatives.




- Prepare and maintain governance documentation including Model Development Reports (MDRs), Monitoring Plans, validation responses, and supporting evidence.
- Coordinate responses to Model Validation, Compliance, Audit, and Regulatory inquiries.
- Ensure model documentation remains accurate, complete, and audit-ready.

Stakeholder & Vendor Management

- Serve as a liaison between Business Owners, Model Vendors, Model Validation, Compliance, Risk, and Technology partners.
- Facilitate governance discussions and drive alignment across multiple stakeholder groups.
- Review and challenge vendor-provided model documentation, monitoring evidence, and performance reporting.
- Coordinate cross-functional activities required to support model implementation, validation, monitoring, and governance objectives.
- Track action items and facilitate timely resolution of governance and validation findings.

Process Improvement & Strategic Initiatives

- Identify opportunities to improve model monitoring capabilities, governance controls, and reporting processes.
- Support regulatory remediation programs and governance transformation initiatives.
- Contribute to automation and process efficiencies using Python, SQL, Databricks, and analytical tools.
- Support emerging AI and advanced analytics governance activities as required.

Required Skills

- 2 years of experience in analytics, data science, model governance, model risk management, fraud analytics, financial crime analytics, or related fields.
- Strong programming skills in Python and SQL.
- Hands-on experience working with Databricks, PySpark, and large-scale data environments.
- Understanding of machine learning and AI model methodologies, including supervised and unsupervised learning techniques, classification and regression models, ensemble methods, anomaly detection, and emerging AI solutions.




- Ability to communicate technical model concepts to non-technical stakeholders and facilitate discussions between business partners, model vendors, and Model Validation teams.
- Strong documentation, presentation, and communication skills.

Preferred Skills

- 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 TD, banking, or financial institution experience.

Education Requirements

- Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, Risk Management, or a related quantitative discipline.

Required Experience

- Minimum 2 years of experience in analytics, data science, model governance, model risk management, fraud analytics, financial crime analytics, or related fields.

- Medical, Vision, and Dental Insurance Plans
- 401k Retirement Fund

Significant Notes

- The contractor will have access to customer data; candidates must be prepared to meet the client's data governance and compliance requirements.
- Interview process: 2 steps, virtual or in person, 1 hour per session.

About the Client

This client is a major financial services and banking institution operating across Canada and internationally, supporting millions of retail, commercial, and institutional customers. With a large, collaborative workforce that includes data scientists, model risk managers, analytics professionals, fraud specialists, and technology partners, the organization offers broad exposure to advanced AI and machine learning governance programs, multiple business lines, and long-term growth opportunities within one of North America's leading banks.

About GTT

GTT is a minority-owned staffing firm and a subsidiary of Chenega Corporation, a Native American-owned company in Alaska. We highly value diverse and inclusive workplaces and support Fortune 500 organizations across banking, financial services, technology, life sciences, biotech, utilities, and retail sectors throughout the U.S. and Canada.

Job Number: 26-13567 Industry: Data & Analytics

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📌 Data Scientist (Toronto)
🏢 The Client
📍 Toronto