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Data Scientist

Toronto, Ontario, Canada💼 Full-time🗓 2026-06-08 → 2026-07-30

Core

Deliver analytics and actionable insights to deepen understanding of client experience and optimize the end-to-end client journey across the bank's business lines.

Role type

Data Scientist (Client Experience & Journey Analytics)

Builds

Scalable analytical frameworks, dashboards, and recommendations to improve client engagement, retention, and journey performance.

Domain

Banking / Customer Experience Analytics

Deliverable

dashboards & analysis

Required skills

Python, SQL, statistical modeling, machine learning, prompt engineering, Power BI, Hadoop, Spark, Google Cloud, Microsoft Azure, DevOps principles

Preferred skills

GenAI application, design thinking, software engineering best practices

Responsibilities

Develop and implement analytical approaches to uncover patterns in client behavior; write and maintain Python/SQL code for data pipelines; design statistical and ML techniques to identify drivers of client satisfaction; create data visualizations and reports for stakeholders; collaborate with business lines to translate challenges into scalable analytical solutions.

Seniority

Mid-to-Senior, hands-on IC

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