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Data Scientist II

Toronto, ON, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Oct 15, 2026
Experience: 3+ years of relevant experience; higher degree education and research tenure can be counted.
Posting language: English
Posted: Oct 7, 2026

Original job 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 leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we strive to make every interaction, product, and experience remarkably human and refreshingly simple for over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to foster deeper relationships, ensure disciplined execution, and build a simpler, faster banking experience. TD is deeply committed to being a leader in client experience, that is why we believe that all colleagues, no matter where they work, are client facing. Together, we are reimagining what banking can be for our clients, colleagues and communities.

Our Total Rewards Package
Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical, and mental well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs. Learn more

Additional Information:
We’re delighted that you’re considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we’re committed to providing the support our colleagues need to thrive both at work and at home.

Please be advised that this job opportunity is subject to provincial regulation for employment purposes. It is imperative to acknowledge that each province or territory within the jurisdiction of Canada may have its own set of regulations, requirements.

Colleague Development

If you’re interested in a specific career path or are looking to build certain skills, we want to help you succeed. You’ll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities.

If you’re passionate about helping clients and building deep, lasting relationships, TD offers diverse career paths where you can grow your expertise and make a meaningful impact.

We're committed to your success and foster a respectful workplace where diverse perspectives are valued, everyone has fair opportunities to grow, and you can unlock your full potential to achieve your career goals. Here at TD, we hire and develop the best.

Training & Onboarding
We will provide training and onboarding sessions to ensure that you’ve got everything you need to succeed in your new role.

Interview Process
We’ll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.

Accommodation
Your accessibility is important to us. Please let us know if you’d like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.

We look forward to hearing from you!

Language Requirement (Quebec only):

Sans Objet

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More about this job

Responsibilities

The Data Scientist II will design, build, and deploy advanced analytics solutions using cloud-based platforms to support operational excellence and performance optimization. They will partner with business stakeholders to transform large-scale data into actionable insights and automated monitoring products.

Requirements

Candidates should possess an undergraduate or advanced technical degree in a quantitative field and at least 3 years of relevant experience. Proficiency in Python, SQL, and data visualization tools is required, along with strong organizational and communication skills.

Skills

Python
SQL
PySpark
Power BI
Azure Databricks
Data analysis
Data visualization
Machine learning
Statistical modeling
Data engineering
Automation
Analytical frameworks
Risk management
Stakeholder management
Cloud platforms
Data quality

Benefits

Health and well-being benefits
Savings and retirement programs
Paid time off
Banking benefits and discounts
Career development
Reward and recognition programs

Visa sponsorship

Not detected in the job text

Keywords

Data Scientist
Analytics
Artificial Intelligence
Python
SQL
PySpark
Power BI
Azure Databricks
Cloud Computing
Data Pipelines
Data Visualization
Machine Learning
Pandas
NumPy
Scikit-learn
TensorFlow
PyTorch
Tableau
Risk Management
Regulatory Compliance
Performance Optimization
Financial Services
Banking
Data Governance
Automation
Statistical Analysis
Business Intelligence
Data Assets
Operational Excellence
Stakeholder Engagement

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