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Added 13 mins ago
Assistant Manager, Guest Experience | Place Ste-Foy
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Full-time
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Data Scientist III

Toronto, ON, Canada

Pay: $96,900 - $136,800 CAD
Job type: Full-time
Apply by: Oct 10, 2026
Experience: 7+ years of experience in Business Intelligence, Analytics, Data Science, Data & AI, or a related field.
Posting language: English
Posted: Sep 24, 2026

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Original job 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:

This is a unique opportunity to help shape the future of Business Intelligence within Wealth by driving transformation initiatives, modernizing analytics capabilities, advancing AI-enabled solutions, and influencing how data-driven decision making is delivered across the organization.

1. Drive BI Transformation Strategy & Execution

Drive BI Transformation initiatives across Wealth.
Help shape and evolve BI operating models, delivery processes, governance frameworks, and best practices.
Identify opportunities to improve how analytics and reporting capabilities are developed, governed, and consumed across Wealth.
Contribute to BI Transformation roadmap development aligned with business priorities and enterprise direction.

2. Modernize Wealth BI Capabilities

Support the migration and modernization of analytical assets and reporting capabilities, including Power BI migration and transformation initiatives.
Partner with other colleagues on data modernization efforts, including Unity Catalog migration and related platform capabilities.
Promote scalable, reusable, and sustainable BI development practices.
Help shape, refine, and drive adoption of visualization standards, semantic modeling best practices, governance, documentation, and BI solutions design.
Leverage metrics, stakeholder feedback, and operational insights to continuously improve BI capabilities and user experience.

3. Drive BI Innovation Through AI and Emerging Technologies

Explore opportunities to leverage artificial intelligence, Generative AI, Agentic AI, and modern analytics technologies to improve BI development, adoption, governance, and user experience.

Evaluate emerging industry trends and recommend practical applications for Wealth BI. Deep expertise in SQL, Python, PySpark, and modern analytics frameworks.
Advanced proficiency in Power BI, data visualization design, semantic modeling, and dashboard optimization.

Prototype and champion innovative approaches that improve business value and team effectiveness.
Foster a culture of experimentation, continuous learning, and technology adoption.

4. Leadership Through Influence

Build strong relationships with business leaders, technology teams, and analytics partners.
Influence decisions through data-driven recommendations, structured problem-solving, and effective communication.
Mentor peers and team members through knowledge sharing, technical guidance, and best-practice development.
Help create alignment and strategic direction during periods of change and ambiguity.
Lead initiatives and drive outcomes without formal authority by building credibility, trust, and stakeholder alignment.

The ideal candidate will:

Thrive in ambiguity and changing environments.
Demonstrate strong ownership and initiative by proactively identifying opportunities and driving outcomes.
Balance strategic thinking with hands-on execution.
Be comfortable leading without formal authority.
Have a passion for modernization, transformation, and innovation.
Be naturally curious about AI and emerging technologies.
Influence stakeholders through credibility, communication, and expertise.
Continuously learn and adapt in a rapidly changing technology landscape.

Technical Requirements

Required

Bachelor's or Master's degree in Data Science, Computer Science, Engineering, Statistics, Mathematics, or a related quantitative discipline.
7+ years of experience in Business Intelligence, Analytics, Data Science, Data & AI, or a related field.

Experience leading complex analytics, BI, modernization, or transformation initiatives from strategy through execution.

Strong proficiency in SQL, Python, and modern analytics platforms such as Databricks.
Advanced experience with Power BI, semantic modeling, data visualization design, and self-service BI enablement.
Experience with BI modernization efforts, including migration, governance, operating model evolution, or platform transformation initiatives.
Strong understanding of data modeling, metadata management, data governance, and analytics best practices.

Preferred

Experience applying AI, Generative AI, Agentic AI, or ML capabilities to improve analytics and BI workflows.
Experience with cloud-based analytics platforms and large-scale enterprise data environments.
Financial Services, Wealth Management, or Banking experience.

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 role involves driving Business Intelligence transformation initiatives and modernizing analytical capabilities within the Wealth division. You will leverage AI and emerging technologies to improve data-driven decision-making while influencing stakeholders across the organization.

Requirements

Candidates must hold a Bachelor's or Master's degree in a quantitative discipline and possess at least 7 years of experience in analytics or data science. Proficiency in SQL, Python, and Power BI is required, along with a strong background in BI modernization and data governance.

Skills

Business Intelligence
Data Science
SQL
Python
PySpark
Power BI
Data Visualization
Semantic Modeling
Data Governance
Artificial Intelligence
Generative AI
Databricks
Cloud Analytics
Strategic Planning
Stakeholder Management
Mentoring

Benefits

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

Visa sponsorship

Not detected in the job text

Keywords

Business Intelligence
Data Science
Analytics
Artificial Intelligence
Generative AI
Agentic AI
SQL
Python
PySpark
Power BI
Databricks
Data Modeling
Metadata Management
Data Governance
Wealth Management
Banking
Financial Services
Transformation
Modernization
Semantic Modeling
Dashboard Optimization
Cloud-based Analytics
Machine Learning
Strategic Leadership
Stakeholder Alignment

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