Data Scientist II, Branch Analytics

Company: TD Securities

Location: Toronto, Ontario

Type: Full-time

Level: mid

Posted: 2026-02-06

About this role

Work Location:
Toronto, Ontario, Canada


**Hours:
37.5


Line Of Business:
Analytics, Insights, & Artificial Intelligence


Pay Details:
$81,600 - $115,200 CAD


TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.


As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.


Job Description:
Department Description:
The
Branch Analytics team
within
Analytics, Insights and Artificial Intelligence (AI2)
provides consultative, data-driven solutions to support operational excellence, regulatory adherence, and performance optimization across TD’s branch network. The team partners closely with business stakeholders to transform large-scale enterprise data into scalable analytics products, actionable insights, and automated monitoring solutions that directly drive business value.


Job Description:
The
Data Scientist II, Branch Analytics
will design, build, and deploy advanced analytics solutions across cloud-based platforms, translating complex business problems into production-ready data assets, insights, and automated analytics. This role combines strong technical expertise, analytical thinking, and business partnership to deliver measurable outcomes across operations, risk, and performance management.


Key Responsibilities Include:**

  • Develop scalable analytics solutions using Pytho...

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