{"id":3108362,"url":"https://alion.io/job/scotiabank-senior-data-scientist-commercial-banking-data-analytics-toronto","title":"Senior Data Scientist - Commercial Banking Data & Analytics, Toronto","company":{"id":1754303,"name":"Scotiabank","domain":"scotiabank.com","url":"https://alion.io/company/scotiabank-com","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":{"grade":"A","score":100,"open_postings":41,"ghost_share":0,"stale_share":0,"repost_share":0.049,"time_to_fill_p50_days":16,"computed_at":"2026-10-29T05:49:05Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Toronto, Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":69000,"max_usd":123000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":90},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Agentic Workflows","optional":true},{"name":"AI Agents","optional":true},{"name":"Azure","optional":true},{"name":"Databricks","optional":true},{"name":"GCP","optional":true},{"name":"Google BigQuery","optional":true}],"status":"closed","first_seen_at":"2026-09-29T00:00:00Z","employer_posted_date":"2026-09-29","last_verified_at":"2026-10-29T02:21:25Z","board_verified":false,"closed_at":"2026-10-29T02:21:25Z","days_open":30,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":30},"description":"Requisition ID: 275108\nJoin a purpose driven winning team, committed to results, in an inclusive and high-performing culture.\nAbout the Opportunity:\nWe 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.\nWorking 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.\nIf 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.\nHow You Will Make an Impact:\nAs a Senior Data Scientist, you will:\nSupport the operation, maintenance, and enhancement of a critical enterprise analytics and predictive modeling platform\nMonitor, assess, and improve model performance, including recalibration, validation support, and methodology enhancements\nInvestigate and resolve complex data quality, model output, and production issues through structured root-cause analysis\nDevelop a deep understanding of data lineage, feature engineering, business rules, and source-system dependencies\nCollaborate with Commercial Banking, Credit Risk, Data, and Technology teams to deliver platform enhancements and support production operations\nContribute to platform modernization initiatives and help identify opportunities to streamline legacy analytical processes\nSupport governance, documentation, controls, and model risk management activities\nEstablish and promote best practices in model development, testing, monitoring, deployment, and reproducibility\nServe as a key partner and backup to the Lead Data Scientist, ensuring continuity of critical analytical capabilities\nExplore opportunities to leverage advanced analytics, Generative AI, and emerging AI technologies to create business value\nWhat You Will Bring to the Team:\nExtensive experience in Data Science, Predictive Modeling, Machine Learning, or a related quantitative field\nProven experience supporting complex analytics platforms, predictive models, or enterprise data solutions in production environments\nStrong expertise in statistical modeling, model monitoring, performance evaluation, validation support, and model interpretation\nAdvanced Python and SQL skills, with experience performing large-scale data analysis, feature engineering, and production support\nExperience working with enterprise datasets, data quality management, lineage analysis, and data transformation processes\nStrong understanding of machine learning operations, production data pipelines, testing frameworks, version control, and deployment practices\nExcellent problem-solving skills with the ability to work through ambiguity and independently investigate complex technical issues\nStrong communication and stakeholder management skills, with the ability to translate technical concepts into business insights\nA collaborative mindset and demonstrated ability to work across multidisciplinary teams\nMust-Have:\nUniversity degree in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related quantitative discipline\nSignificant hands-on experience in data science, machine learning, or advanced analytics\nAdvanced proficiency in Python and SQL\nExperience supporting production-level analytical or predictive modeling solutions\nExperience with model governance, documentation, controls, validation, or model risk management practices\nStrong understanding of enterprise data environments and analytical workflows\nNice-to-Have:\nMaster's degree in a quantitative discipline\nExperience with Azure Databricks, Google Cloud Platform (GCP), and BigQuery\nExperience within Financial Services, Commercial Banking, Credit Risk, Portfolio Management, or Early Warning Analytics\nExposure to Generative AI, Large Language Models (LLMs), agentic workflows, or AI-assisted development\nExperience working within regulated environments.\nWhat's In It for You:\nOpportunity to support and influence business-critical analytics used by Commercial Banking and Risk leaders\nExposure to complex enterprise datasets, predictive models, and advanced analytical environments\nCollaborative work with senior stakeholders across Analytics, Credit, Risk, Data, and Technology teams\nOpportunity to contribute to platform modernization and emerging AI initiatives\nA challenging and rewarding environment that values innovation, analytical rigor, and continuous learning\nReady to Apply?\nIf you're passionate about leveraging data, predictive modeling, and AI to solve complex business challenges while driving meaningful impact, we encourage you to apply and join our Commercial Banking Data & Analytics team.\nWe thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.\nLocation(s): Canada : Ontario : Toronto\nScotiabank 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.\nAt 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. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. 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