Select how often (in days) to receive an alert:Title: Senior Data Scientist - Commercial Banking Data & Analytics, TorontoRequisition ID: 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 platformMonitor, assess, and improve model performance, including recalibration, validation support, and methodology enhancementsInvestigate and resolve complex data quality, model output, and production issues through structured root-cause analysisDevelop a deep understanding of data lineage, feature engineering, business rules, and source-system dependenciesCollaborate with Commercial Banking, Credit Risk, Data,



and Technology teams to deliver platform enhancements and support production operationsContribute to platform modernization initiatives and help identify opportunities to streamline legacy analytical processesSupport governance, documentation, controls, and model risk management activitiesEstablish and promote best practices in model development, testing, monitoring, deployment, and reproducibilityServe as a key partner and backup to the Lead Data Scientist, ensuring continuity of critical analytical capabilitiesExplore opportunities to leverage advanced analytics, Generative AI, and emerging AI technologies to create business valueWhat You Will Bring to the Team:Extensive experience in Data Science, Predictive Modeling, Machine Learning, or a related quantitative fieldProven experience supporting complex analytics platforms, predictive models, or enterprise data solutions in production environmentsStrong expertise in statistical modeling, model monitoring, performance evaluation, validation support, and model interpretationAdvanced Python and SQL skills, with experience performing large-scale data analysis, feature engineering, and production supportExperience working with enterprise datasets, data quality management, lineage analysis, and data transformation processesStrong understanding of machine learning operations, production data pipelines, testing frameworks, version control, and deployment practicesExcellent problem-solving skills with the ability to work through ambiguity and independently investigate complex technical issuesStrong communication and stakeholder management skills,



with the ability to translate technical concepts into business insightsA collaborative mindset and demonstrated ability to work across multidisciplinary teamsMust-Have:University degree in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related quantitative disciplineSignificant hands-on experience in data science, machine learning, or advanced analyticsAdvanced proficiency in Python and SQLExperience supporting production-level analytical or predictive modeling solutionsExperience with model governance, documentation, controls, validation, or model risk management practicesStrong understanding of enterprise data environments and analytical workflowsNice-to-Have:Experience with Azure Databricks, Google Cloud Platform (GCP), and Big QueryExperience within Financial Services, Commercial Banking, Credit Risk, Portfolio Management, or Early Warning AnalyticsExposure to Generative AI, Large Language Models (LLMs), agentic workflows, or AI-assisted developmentExperience working within regulated environments.What's In It for You:Prospect to support and influence business-critical analytics used by Commercial Banking and Risk leadersExposure to complex enterprise datasets, predictive models, and advanced analytical environmentsCollaborative work with senior stakeholders across Analytics, Credit, Risk, Data, and Technology teamsOpportunity to contribute to platform modernization and emerging AI initiativesA challenging and rewarding environment that values innovation, analytical rigor, and continuous learningWe 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 : TorontoScotiabank is a leading

📌 Senior Data Scientist - Commercial Banking Data & Analytics, Toronto
🏢 Scotiabank
📍 Toronto