Data Scientist II

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.

Department Description:

The Analytics, Insights & Artificial Intelligence (AI2) team delivers data- and analytics-driven insights that support informed decision-making and strategic planning across the organization. Within AI2, the Canadian Personal Banking (CPB) team provides end-to-end analytics support—including reporting, advanced analytics, and AI solutions—to drive measurable business value.

Role Overview

Data Scientist II, reporting to the Manager, COO BI and AI Enablement, is responsible for designing, developing, and delivering data science solutions that enable data-driven decision-making across the business. This role applies strong technical expertise in Python, SQL, Databricks, cloud-based data platforms, semantic data modeling, and visualization tools such as Power BI and Tableau to transform complex data into meaningful insights, scalable reporting assets, and actionable recommendations.

The Data Scientist partners closely with business stakeholders, data engineering teams, and analytics partners to understand business challenges, translate requirements into analytical solutions, and ensure outputs are accurate, reliable, and aligned to strategic priorities.

The ideal candidate is curious, detail-oriented, collaborative, and comfortable working in a fast-paced environment where analytical rigor, automation, and AI are essential to driving business value.