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Added 22 mins ago
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Toronto, ON · AB · Winnipeg, MB · Wawanesa, MB · Moncton, NB · Ottawa, ON · Kitchener, ON · Montreal, QC · Vancouver, BC · Lloydminster, AB · Dartmouth, NS · Calgary, AB · Lethbridge, AB · Edmonton, AB (Hybrid), AB · North York - Toronto, ON (Hybr, ON
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Data Scientist II

Toronto, ON, Canada

Pay: $81,600 - $115,200 CAD
Job type: Full-time
Apply by: Oct 3, 2026
Experience: 3+ years of experience in data science or advanced analytics, with ownership of complex, high-impact initiatives.
Posting language: English
Posted: Sep 28, 2026

Apply About employer

Applications open in a new tab.

Original job description

Work Location:

Toronto, Ontario, Canada

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.

Job Description:

About the Team

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.

The Role

The Data Scientist II supports Investing Products within Everyday Advice Journey (EAJ), delivering advanced analytics that improve product strategy and portfolio performance. You will translate complex data into actionable insights that inform product strategy, customer experience, partnering closely with business, risk, and technology teams.

Key Responsibilities

Deliver actionable insights from enterprise data to support product, pricing, customer, and portfolio decisions.
Lead advanced analytical work (e.g., regression, clustering, time series, causal inference) to solve complex business problems.
Act as a trusted advisor to business partners, influencing decisions through clear, compelling insights.
Design and build scalable data assets, dashboards, and analytical tools to enable repeatable insights.
Communicate insights effectively to both technical and non-technical audiences, including senior leadership.

Required Qualifications

3+ years of experience in data science or advanced analytics, with ownership of complex, high-impact initiatives.
Degree in quantitative discipline (e.g., data science, business management, statistics, economics, computer science, engineering).
Advanced proficiency in SQL and Python/PySpark, with experience building production-ready analytical solutions.
Strong foundation in statistics, experimentation (A/B testing), and applied machine learning.
Experience developing analytical data assets, automation & models at scale.
Strong communication skills and the ability to influence non-technical stakeholders.
Proficiency with Excel and PowerPoint.

Nice to Have

Experience in financial services, particularly Canadian Personal Banking and/or Wealth.
Experience with Power BI.

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

Apply About employer

More about this job

Responsibilities

The Data Scientist II delivers advanced analytics and actionable insights to support product strategy and portfolio performance within the Canadian Personal Banking team. They lead complex analytical projects, build scalable data assets, and act as a trusted advisor to business, risk, and technology partners.

Requirements

Candidates must have 3+ years of experience in data science or advanced analytics and a degree in a quantitative discipline. Proficiency in SQL, Python/PySpark, and a strong foundation in statistics and machine learning are required.

Skills

Data Science
Advanced Analytics
SQL
Python
PySpark
Statistics
A/B Testing
Machine Learning
Data Visualization
Regression
Clustering
Time Series
Causal Inference
Excel
PowerPoint

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 Science
Analytics
Artificial Intelligence
SQL
Python
PySpark
Regression
Clustering
Time Series
Causal Inference
A/B Testing
Machine Learning
Data Assets
Dashboards
Financial Services
Personal Banking
Wealth Management
Power BI
Quantitative Analysis
Product Strategy
Portfolio Performance
Automation
Stakeholder Management
Strategic Planning
Reporting

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