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Added 18 mins ago
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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: 5+ years of relevant experience in a data science role
Posting language: English
Posted: Sep 29, 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:

Data Scientist III

Department Overview:

The TD Business Banking Analytics, Insights and Artificial Intelligence (AI2) team supports the day-to-day activities, working with business partners to address their analytics needs by providing end-to-end support of data, reporting, analytics, insights, and artificial intelligence solutions.

The Business Banking AI2 team is responsible for leveraging a diverse range of technical and business expertise including business analytics, data science and modelling, business intelligence and visualization to inform business decisions.

This role is with the Distribution, Operation & Sales team that supports channel performance and sales strategy function within TD Business Banking with high quality, innovative, and insightful information to help build value for our customers and shareholders. The team is in Toronto, ON.

Job Description/Role Overview:

Your goal as a part of this Performance Ecosystem Analytics team is to provide in depth expertise, analytical interpretation, key insights and action items to your partners and other related multi-functional teams. Those insights will enable informed business decisions to enterprise wide or help to solve the increasingly complex business problems they face.

In this role, TD will look to you for thought leadership; enabling you to lead, coach, mentor, empower and educate your peers to collaborate and bring TD into the future of banking. Your success will be predicated on your ability to forge strong partnerships, communicate effectively, solve problems, and continuously strive to achieve results.

Core Responsibilities:

Act as an end-to-end problem solver in the business banking domain by developing and owning data-driven solutions
Partner with business stakeholders to understand objectives, gather requirements, and translate business needs into analytical solutions.
Use programming languages (Python, PySpark, SQL) to extract and prepare data, apply statistics and various advanced analytics along with business acumen to inform recommendations and insights from large datasets.
Visualize insights by using Power BI Copilot from data to illustrate stories that clearly convey the meaning of results to decision-makers and stakeholders at every level of technical understanding.
Collaborate with other partners, such as AIML scientists, data and business analysts, software engineers, data engineers, and application developers to develop scalable and sustainable machine learning/data science solutions that retain long term benefit to the business.

Clearly communicate the value, principles and math behind the scientific process such as hypothesis testing and statistical validation to drive organizational excellence.
Provide thought leadership and/or industry knowledge for your own area of expertise and participate in knowledge transfer within the team and business unit.

Required Skills & Qualifications:

5+ years of relevant experience in a data science role
An academic background in Math, Statistics, Computer Science, or a related field
Demonstrated knowledge and application of analytical languages/tools/platforms such as Python / Pyspark, SQL, Power BI, Databricks, and Tableau on large datasets with a track record of delivering business impact and results.
Strong problem-solving skills, with the ability to navigate ambiguous issues and deliver well-defined solutions.
Excellent communication skills, with experience presenting insights to executive leaders and business partners.
Able to participate as part of a team with targeted deliverables, working on initiatives designed to improve decisions, processes, systems, and applications which support our businesses.
Experience in building complex dashboards related to business banking project is preferred
Knowledge or experience in machine learning projects is considered a strong asset

***Please note this position is Toronto, ON.

**The Workplace Model for this position is "Primarily Onsite" and requires 4 days/week in the Toronto 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

Develop and own data-driven solutions by partnering with business stakeholders to translate needs into analytical insights. Utilize advanced programming and statistical techniques to visualize data and provide actionable recommendations for business banking operations.

Requirements

Requires 5+ years of relevant data science experience and an academic background in Math, Statistics, Computer Science, or a related field. Candidates must demonstrate proficiency in Python, SQL, and data visualization tools while possessing strong communication skills for executive-level reporting.

Skills

Python
PySpark
SQL
Power BI
Databricks
Tableau
Data science
Statistical analysis
Machine learning
Business intelligence
Data visualization
Problem-solving
Communication
Stakeholder management
Hypothesis testing

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

Data Scientist
Analytics
Artificial Intelligence
Business Banking
Python
PySpark
SQL
Power BI
Databricks
Tableau
Machine Learning
Statistics
Data Visualization
Hypothesis Testing
Statistical Validation
Business Intelligence
Data Modeling
Performance Ecosystem
Financial Services
Thought Leadership

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