Level

TD Bank

Data Scientist III

TD Bank is hiring a Data Scientist III in Toronto, Canada. It pays CAD 97k-CAD 137k a year and Level rates it ; you can apply on TD Bank.

Level's read on this job

  • Little AI ●○○○ is how Level rates this data scientist role: aI is not part of the work.
  • Tools and skills the posting cites include Copilot, Databricks and Power BI.
  • Level classifies it as a senior role.
  • Level lists 1,700+ other open roles at TD Bank.

AI in this role

Data Scientist III to deliver analytical insights, modernization initiatives, and reporting assets within Small Business Banking AI2.

copilotdatabrickspower-bitableau
data-scienceanalyticsdata-storytellingbusiness-intelligence

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

How we rate this

Data Scientist III at TD Bank rates 30 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Data ScienceAnalyticsData StorytellingBusiness IntelligenceCopilotDatabricksPower BITableau

Also common in data scientist jobs at this level

Pay

Typical data scientist job
$166k

Use the typical data scientist figure as a reference when pay comes up. See data scientist jobs

Questions you could be asked

  1. Tell me about a project where data science was part of your work. What did you do?
  2. Tell me about a project where analytics was part of your work. What did you do?
  3. Tell me about a project where data storytelling was part of your work. What did you do?
  4. Tell me about a project where business intelligence was part of your work. What did you do?
  5. Walk me through how you've used Copilot in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Data Science, Analytics, Data Storytelling, Business Intelligence, and Copilot. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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