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Data Scientist III

Toronto, ON, Canada

$96,900 - $136,800 CAD · Full-time

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Job details

Pay: $96,900 - $136,800 CAD
Job type: Full-time
Apply by: Oct 26, 2026
Experience: Over 5 years of work experience in analytics and reporting
Posting language: English
Posted: Oct 9, 2026

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:

Department Description:

What does Small Business Banking AI2 (Analytics, Insights & Artificial Intelligence) stand for? For starters, we believe in visionary leadership and insights.

We work with Small Business Banking partners to address their analytics needs by providing end-to-end support of data, reporting, analytics, insights, artificial intelligence and partnering with our AI teams in delivering best in Enterprise. AI2 is an exciting team to be a part of as we are transforming how we provide key insights and opportunities for our business partners to better serve our customers.

Job Description:

Key Responsibilities include:

Partner closely with business stakeholders to understand analytical needs, translate business problems into actionable insights, and deliver compelling data storytelling that supports strategic decision-making and measurable business outcomes.
Lead Power BI modernization initiatives, working closely with the Power BI Centre of Excellence (COE) and Enablement teams to assess, rationalize, and prioritize legacy reporting assets. Develop and execute migration roadmaps for Tableau dashboards while ensuring alignment with enterprise standards and self-service reporting capabilities.
Ensure all deliverables meet enterprise quality, risk, and governance standards by maintaining appropriate documentation, controls, and evidence required under pRCSA and related compliance frameworks.
Collaborate with Data Solutions, Data Engineering, and Technology partners to define detailed data curation requirements, business rules, data quality expectations, and enhancement opportunities for enterprise data products.
Lead analytical engagements from problem definition through implementation, applying the And-But-Therefore (ABT) framework to communicate insights, recommendations, and business value to stakeholders and executives.
Partner with AI/ML teams to support the development, monitoring, valuation, and performance reporting of machine learning models, including creation of executive dashboards and insights that promote transparency, adoption, and ongoing model governance.
Identify opportunities to simplify, standardize, and optimize reporting assets across business portfolios, reducing duplication and improving consistency of KPIs, metrics, and executive reporting.
Provide thought leadership on reporting, analytics, visualization, and data-driven decision making while mentoring team members and promoting analytics best practices across the organization.
Work effectively and efficiently in a fast-paced, challenging data and technology environment that leverages multiple databases and tools
Work individually or as a team leveraging each other's knowledge and expertise
Ensure all deliverables meet enterprise quality, risk, and governance standards by maintaining appropriate documentation, controls, and evidence required under pRCSA and related compliance frameworks.
Collaborate with Data Solutions, Data Engineering, and Technology partners to define detailed data curation requirements, business rules, data quality expectations, and enhancement opportunities for enterprise data products.

Required Qualifications:

Advanced university degree in Statistics, Mathematics, Engineering, Economics or other analytically based discipline
Over 5 years of work experience in analytics and reporting
Strong Power BI, Tableau Reporting and PySpark coding skills
Strong problem-solving skills, solid background working with data and conducting analysis or planning complex data flows and processes
Superior communication skills with proven ability to communicate quantitative/ qualitative information and key messages in a clear and compelling way
Detail oriented with excellent organization skills and ability to effectively manage work under tight timelines and changing priorities
Disciplined with a proven track record of delivering results and executing with excellence

Technical Knowledge/Skills:

Advanced experience developing enterprise‑grade dashboards and reports using Power BI and/or Tableau.
Solid understanding of data modeling, BI semantic layers, and visualization best practices.
Knowledge of AI-powered tools such as MS copilot to accelerate insights, automate repetitive analytics tasks, and unlock advance data exploration capabilities across BI workflows
Hands‑on experience with Databricks and Azure cloud services.
Working knowledge of Python and PySpark to support data preparation for BI use cases.

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 partnering with business stakeholders to translate analytical needs into actionable insights and leading Power BI modernization initiatives. You will also collaborate with data engineering teams to define data curation requirements and support the performance monitoring of machine learning models.

Requirements

Candidates must hold an advanced university degree in an analytical discipline and possess over 5 years of experience in analytics and reporting. Strong technical proficiency in Power BI, Tableau, and PySpark is required, along with excellent communication and problem-solving skills.

Skills

Power BI
Tableau
PySpark
Python
Data modeling
Data visualization
Azure cloud services
Databricks
Machine learning
Data storytelling
Statistical analysis
Business intelligence
Data curation
Performance reporting
Governance

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
Power BI
Tableau
PySpark
Python
Azure
Databricks
Machine Learning
Data Modeling
Business Intelligence
Data Storytelling
Governance
Compliance
pRCSA
Dashboarding
Data Curation
Statistics
Mathematics
Engineering
Economics
Cloud Services
KPIs
Reporting

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