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Title: Senior Data Scientist - Commercial Banking Data & Analytics, Toronto Requisition ID: 275108

Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

About the Opportunity:

We are seeking a highly analytical and technically skilled Senior Data Scientist to join our Commercial Banking Data & Analytics team. In this role, you will help support, enhance, and modernize a critical predictive modeling and analytics platform used by Commercial Banking and Risk partners across the organization.

Working closely with the Lead Data Scientist, you will play a key role in ensuring the stability, integrity, and evolution of business-critical analytical capabilities. This is an opportunity to work with complex data ecosystems, advanced predictive models, enterprise-scale datasets, and emerging AI technologies while partnering with stakeholders across Analytics, Credit, Risk, Data, and Technology teams.

If you thrive on solving complex problems, uncovering insights in large datasets, and strengthening analytical solutions that influence business decisions, we'd love to hear from you.

How You Will Make an Impact:

Support the operation, maintenance, and enhancement of a critical enterprise analytics and predictive modeling platform

Monitor, assess, and improve model performance, including recalibration, validation support, and methodology enhancements

Investigate and resolve complex data quality, model output, and production issues through structured root-cause analysis

Develop a deep understanding of data lineage, feature engineering, business rules, and source-system dependencies

Collaborate with Commercial Banking,



Credit Risk, Data, and Technology teams to deliver platform enhancements and support production operations

Contribute to platform modernization initiatives and help identify opportunities to streamline legacy analytical processes

Support governance, documentation, controls, and model risk management activities

Establish and promote best practices in model development, testing, monitoring, deployment, and reproducibility

Serve as a key partner and backup to the Lead Data Scientist, ensuring continuity of critical analytical capabilities

Explore opportunities to leverage advanced analytics, Generative AI, and emerging AI technologies to create business value

What You Will Bring to the Team:

Extensive experience in Data Science, Predictive Modeling, Machine Learning, or a related quantitative field

Proven experience supporting complex analytics platforms, predictive models, or enterprise data solutions in production environments

Strong expertise in statistical modeling, model monitoring, performance evaluation, validation support, and model interpretation

Advanced Python and SQL skills, with experience performing large-scale data analysis, feature engineering, and production support

Experience working with enterprise datasets, data quality management, lineage analysis,



and data transformation processes

Robust understanding of machine learning operations, production data pipelines, testing frameworks, version control, and deployment practices

Excellent problem-solving skills with the ability to work through ambiguity and independently investigate complex technical issues

Strong communication and stakeholder management skills, with the ability to translate technical concepts into business insights

A collaborative mindset and demonstrated ability to work across multidisciplinary teams

Must-Have:

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

Nice-to-Have:

Experience with Azure Databricks, Google Cloud Platform (GCP), and BigQuery

Experience within Financial Services, Commercial Banking, Credit Risk, Portfolio Management, or Early Warning Analytics

Exposure to Generative AI, Large Language Models (LLMs), agentic workflows, or AI-assisted development

Experience working within regulated environments.

What's In It for You:

Opportunity to support and influence business-critical analytics used by Commercial Banking and Risk leaders

Exposure to complex enterprise datasets, predictive models,

📌 Senior Data Scientist (Toronto)
🏢 Scotiabank
📍 Toronto