Lead Data Scientist, Commercial Banking Analytics

Scotiabank; Toronto; On-site; CAD 140,000 - 210,000; Full time

Job summary

Scotiabank is seeking a Lead Data Scientist for Canadian Commercial Banking to own a critical analytics platform, guide production ML pipelines, and partner across Analytics, Credit, Risk, Data, and Technology. The role emphasizes platform ownership, governance, and stakeholder collaboration.

The candidate will mentor data scientists, drive model validation and recalibration, and enable sound business decisions through advanced analytics and AI initiatives.

Qualifications

• Extensive data science, predictive modeling, or related quantitative discipline.

Responsibilities

• Own platform ownership of an enterprise analytics platform with models and data assets.
• Lead stabilization by identifying data, model, and operational risks and establish a support model.
• Manage model stewardship, monitoring, recalibration, and governance activities.
• Investigate data quality, model outputs, pipelines, and production issues through root cause analysis.
• Document data sources, model methodologies, and code; ensure reproducibility.
• Collaborate with Analytics, Credit, Risk, Data, and Technology stakeholders for reliability.
• Provide technical direction across cross-functional teams; mentor data professionals.

Skills

Data science

Predictive modeling

Python

SQL

GCP/BigQuery

Model governance

Stakeholder communication

Mentoring

Production ML pipelines

Education

Bachelor’s degree in a quantitative field

Master’s degree or PhD preferred

Tools

Python

SQL

GCP/BigQuery

Job description

Scotiabank is seeking a Lead Data Scientist for Canadian Commercial Banking to own a critical analytics platform, guide production ML pipelines, and partner across Analytics, Credit, Risk, Data, and Technology. The role emphasizes platform ownership, governance, and stakeholder collaboration.

The candidate will mentor data scientists, drive model validation and recalibration, and enable sound business decisions through advanced analytics and AI initiatives.