Senior Data Scientist – Commercial Banking Data & Analytics

Role Overview

Join a purpose-driven team to support, enhance, and modernize a critical predictive modeling and analytics platform used by Commercial Banking and Risk partners across the organization. Work with complex data ecosystems, advanced predictive models, enterprise-scale datasets, and emerging AI technologies.

What You Will Do

Support the operation, maintenance, and enhancement of a critical enterprise analytics and predictive modeling platform, monitor and improve model performance, and investigate and resolve complex data quality and production issues.

Why It Might Be a Fit

If you thrive on solving complex problems, uncovering insights in large datasets, and strengthening analytical solutions that influence business decisions, this role may be a good fit.

Requirements

• University degree in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related quantitative discipline
• Significant hands-on experience in data science, machine learning, or advanced analytics
• Advanced proficiency in Python and SQL
• Experience supporting production-level analytical or predictive modeling solutions
• Experience with model governance, documentation, controls, validation, or model risk management practices
• Strong understanding of enterprise data environments and analytical workflows

Benefits

• Opportunity to support and influence business-critical analytics used by Commercial Banking and Risk leaders
• Exposure to complex enterprise datasets, predictive models, and advanced analytical environments
• Collaborative work with senior stakeholders across Analytics, Credit, Risk, Data, and Technology teams
• Opportunity to contribute to platform modernization and emerging AI initiatives
• A challenging and rewarding environment that values innovation, analytical rigor, and continuous learning