Senior Data Scientist

Company: Scotiabank

Location: Toronto, ON M5C 2T6

Type: Full-time

Posted: 2026-03-20

About this role

Requisition ID: 255430

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

As part of the Advanced Analytics & Modeling team, the Senior Data Scientist is responsible for executing and enhancing existing modeling frameworks with transparent use of enterprise-level data, AI/ML resources and advanced analytics in line with stakeholder priorities. The incumbent will support key projects in a quick pace environment, aimed at accelerating benefits for customers and the bank, leveraging enterprise-level data management tools and advanced analytics. She/he will work closely with Analytics teams, business lines and technology to apply advanced analytics techniques and tools, as well as explore ideas to enhance business opportunities utilizing advanced analytics and artificial intelligence.

Is this role right for you? In this role, you will:

  • Collaborate with stakeholders in identifying opportunities for leveraging data and use of ML algorithms to develop innovative solutions and solve complex business problems
  • Design, develop, and implement end-to-end machine learning production pipelines (data exploration, cleaning, feature engineering, model building, and performance evaluation) and ensure that pipelines are scalable, repeatable, and secure, and can serve multiple users within the company.
  • Apply statistical, analytical and programming skills to analyze and interpret large data sets and communicate results and methodologies to business clients and senior members of the analytics team.
  • Prepare detailed documentation to outline data sources, models and algorithms used
  • Expert in analyzing large, complex multi-dimensional datasets in structured and unstructured format.
  • Leverage distributed computing tools (e.g. Spark, Hadoop) for analysis, data mining and modeling to provide actionable insights to decision makers within the Bank.
  • Collaborate with Data engineering to deploy models and algorithms in prod...

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