# Data Scientist II at TD Bank

AI Level 1, AI centrality 24 out of 100. Toronto, Ontario.

## Details

- Company: [TD Bank](https://jobsbylevel.com/companies/td-bank)
- AI level: AI Level 1 (score 24 out of 100)
- Location: Toronto, Ontario
- Posted: October 7, 2026
- Apply: https://jobsbylevel.com/go/231d3477-91fa-4304-bc2b-f9486d2ac342

## Description

Work Location: Toronto, Ontario, Canada Hours: 37.5 Line of Business: Analytics, Insights, & Artificial Intelligence Pay Details: - 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 Develop scalable analytics solutions using Python, SQL, PySpark and PowerBI within cloud environments (Azure Databricks and enterprise data platforms) Build curated datasets, automated pipelines, and analytics layers that support operational monitoring, performance insights, and regulatory controls Analyze large, complex datasets to identify trends, risks, gaps, and optimization opportunities Translate ambiguous business questions into structured analytical frameworks and actionable deliverables Embed data quality checks, validation, and automation into all analytics products Partner cross-functionally with business stakeholders, data engineering teams, and enterprise analytics groups Communicate insights through dashboards, presentations, and executive-ready storytelling Continuously improve analytics processes, standards, and reusable data assets Support a strong risk and control culture through robust analytical monitoring and governance Required Qualifications Undergraduate degree or advanced technical degree preferred (e.g., math, physics, engineering, finance, or computer science). Graduate degree preferred or progressive project work experience. 3+ years of relevant experience; higher degree education and research tenure can be counted. Strong organizational skills with the ability to work in a fast-paced environment and manage multiple deadlines and priorities. Ability to effectively work in teams across the bank with multiple stakeholders and to influence and align others. Strong risk acumen – challenges the status quo and proactively manages risks. Ability to work in ambiguity and simplify complex issues. Strong work ethic and ability to execute with speed. Required Technical Skills Proficiency in Python (including Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, and PySpark) and SQL (writing complex queries, stored procedures, and data extraction). Proficiency in tools like Power BI, Tableau, or similar platforms to create impactful visualizations and dashboards. ***Please note this position is Toronto, ON. **The Workplace Model for this position is "Primarily Onsite" and requires 4 days/week in the office Who We Are: TD is one of the world's

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Source: https://jobsbylevel.com/jobs/data-scientist-ii-at-td-bank-1f5d8d

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