Data Scientist III

Hours:

37.5

Line of Business:

Analytics, Insights, & Artificial Intelligence

Pay Details:

$96,900 - $136,800 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:

Data Scientist III, Data Science – Customer Assistance (CA)

Department Overview

Within Analytics, Insights & Artificial Intelligence (AI2), the Customer Assistance (CA) team leverages data, analytics, and AI to improve customer outcomes, optimize operational performance, strengthen risk management, and drive measurable business value.

Partnering closely with business, Risk, Technology, and Operations leaders, the team delivers advanced analytics, machine learning, business intelligence, and AI solutions across customer journey analytics, collections optimization, forecasting, performance measurement, automation, model monitoring, and emerging AI capabilities.

As part of a collaborative team of data scientists, data engineers, and business partners, you will help solve complex business challenges and enable data-driven decision-making that improves both customer and business outcomes.

Job Description / Role Overview

As a Data Scientist III, you will be a technical leader responsible for designing, delivering, and sustaining advanced analytics, AI, and business intelligence solutions that support the strategic priorities of the Customer Assistance business.

You will partner with many stakeholders to translate complex business challenges into scalable analytical solutions. Using advanced analytics, machine learning, experimentation, and AI techniques, you will identify opportunities to improve customer outcomes, optimize operations, strengthen risk management, and drive measurable business value.