# Data Scientist III at TD Bank

TD Bank is hiring a Data Scientist III in Toronto, Canada. Level rates it Little AI ●○○○; you can [apply on Level](https://jobsbylevel.com/go/0b88ab36-3c9f-48ee-a546-cc1539d6c752?utm_medium=ai-agent).

AI Level 1, AI centrality 23 out of 100. Toronto, Ontario.

## Details

- Company: [TD Bank](https://jobsbylevel.com/companies/td-bank)
- AI level: AI Level 1 (score 23 out of 100)
- Location: Toronto, Ontario
- Posted: October 15, 2026
- Apply: https://jobsbylevel.com/go/0b88ab36-3c9f-48ee-a546-cc1539d6c752?utm_medium=ai-agent

## Prepare for this job

The job page lists 2 likely interview questions for this offer, with a CV checklist: https://jobsbylevel.com/jobs/data-scientist-iii-at-td-bank-670977

## Description

Work Location: Toronto, Ontario, Canada 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 - Business Banking Analytics, Insights & Artificial Intelligence (AI2) Department Overview Within Analytics, Insights & Artificial Intelligence (AI2), our team develops and delivers data, analytics, machine learning, business intelligence and emerging AI capabilities that improve customer outcomes, optimize operational performance, strengthen risk management and create measurable business value. You’ll work with data scientists, model developers, data engineers, product owners, business partners, Technology and control functions across Business Banking. Together, we turn complex customer and operational challenges into scalable, responsible and sustainable solutions. Job Description / Role Overview You’ll be a technical delivery leader who combines deep analytical expertise, strong ownership and business judgement. You’ll shape high-value opportunities from problem definition and data discovery through development, validation, implementation support, performance monitoring and ongoing optimization. Your work will help leaders make informed decisions and improve customer and business outcomes. Key Responsibilities include: Lead end-to-end delivery: Own complex analytics, machine learning and AI initiatives from business problem definition through solution design, validation, implementation support, and monitoring. Translate needs into outcomes: Partner with business stakeholders to clarify requirements, assess feasibility, define success measures and convert business challenges into scalable analytical solutions and actionable recommendations. Build and operationalize solutions: Use Python, PySpark, SQL, and cloud analytics platforms to analyze large structured and unstructured datasets and develop production-ready capabilities. Measure value and performance: Define KPIs, apply test-and-learn methods, quantify business impact and establish reporting, dashboards and monitoring that support value realization and ongoing optimization. Deliver responsibly: Assess data sources and quality, document data flows, technical designs and test results, and work with Privacy, Compliance, Model Risk Management and other control partners to meet governance and responsible AI expectations. Influence and enable: Present executive-ready insights, explain analytical concepts and trade-offs clearly, resolve delivery risks, contribute thought leadership and support knowledge transfer across technical and non-technical teams. Required Skills & Qualifications 5+ years of relevant experience in data science, advanced analytics or a related quantitative field. A degree in data science, statistics, computer science, engineering, mathematics, finance or related quantitative discipline. Advanced proficiency in Python and SQL, with experience using PySpark and a modern analytics platform such as Databricks to work with large datasets. Experience with Power BI, Tableau, or similar visualization tools. Applied experience in statistics, experimentation, machine learning or predictive analytics, including delivery of scalable or production-ready solutions in a cloud

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/data-scientist-iii-at-td-bank-670977

Source: https://jobsbylevel.com/jobs/data-scientist-iii-at-td-bank-670977

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