Select how often (in days) to receive an alert:
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
Strong 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, 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
We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.
Location(s): Canada : Ontario : Toronto
Scotiabank is a leading bank in the Americas. Guided by our purpose: "for every future", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.
At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know.
We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.
#J-18808-Ljbffr
Senior Data Scientist - Commercial Banking Data & Analytics, Toronto employer: Scotiabank
Scotiabank is an exceptional employer that fosters a purpose-driven and inclusive culture, making it an ideal place for professionals seeking to excel in the financial services industry. With a strong focus on employee growth, you will have access to comprehensive training and development opportunities while working alongside senior leadership in a collaborative environment. Located in vibrant cities like Calgary and Vancouver, you will enjoy a dynamic work-life balance and the chance to make a meaningful impact on ultra-high net worth clients across Canada and internationally.
