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About the Role

This role within Analytics, Insights and Artificial Intelligence (AI2) will help develop and deliver AI, machine learning, advanced analytics, and business intelligence capabilities supporting the North American Customer Operation (NACO) AI Strategy and Roadmap. The work spans foundational data and reporting, interaction analytics, agent assist, knowledge management, next best offer/action, workforce management, conversational IVR and routing, authentication, quality assurance, compliance, and emerging agentic AI use cases. The NACO team is transforming how TD supports customers and colleagues across contact centres in 5 business pillars. The purpose is to bring TD to life through personalized, effortless experiences, while becoming a strategic distribution channel that enables simple and fast solutions and deepening customer relationships. You’ll join a collaborative, multifaceted team of data scientists, machine learning model developers, data engineers, product owners, technology partners, and control functions working together to turn AI-enabled capabilities into impactful business outcomes.

Responsibilities

Work closely with NACO Product Owners and act as a trusted advisor to identify high-value use cases, clarify requirements, assess feasibility, and convert business needs into practical analytics, machine learning, and AI solutions.
Translate AI concepts to business outcomes that matter, crafting clear narratives that support technical and non-technical audiences.
Lead data science initiatives from business problem definition through planning, solution design, development, validation, implementation support, measurement, and sustainment.
Plan and estimate work effort from cross functional data scientists, model developers, data engineers and other technology & control partner teams to deliver scalable AI capabilities for all NACO pillars.
Use Python, PySpark, SQL, PowerBI, statistical methods, machine learning, natural language processing, experimentation, and cloud-based analytics tools to extract, prepare, analyze, model, and operationalize large and complex datasets.
Liaise with Enterprise AI COE where necessary to deliver state-of-the-art AI solutions.
Identify key data sources, assess data quality and feasibility for data access and data inputs that are used by AI solutions.
Leverage Test & Learn methodologies to calculate the value of AI solutions and provide data insights for decision making.
Document dataflow, technical designs, test plans and results, including governance documentation that is used for second line approvals with Privacy, Compliance, and Model Risk Management.
Follow TD Scaled Agile standards for documenting work in Jira/Confluence/Github, managing timelines and ensuring quality standards for AI2 deliverables are met consistently.
Proactively resolve risks and impediments that impact AI2 deliverables, weigh out trade-off decisions, and work with executive leadership to break down barriers.
Provide thought leadership on emerging analytics techniques, responsible AI, industry trends, and best practices.

Requirements

5+ years of experience in data science, advanced analytics, or a related quantitative field
Degree in a quantitative discipline (e.g., data science, statistics, computer science, engineering, finance); graduate degree preferred
Advanced proficiency in Python, SQL, and modern analytics platforms (e.g., Databricks)
Strong foundation in statistics, experimentation, applied machine learning, and working with large datasets (structured and unstructured)
Experience delivering production‑ready analytics solutions in a cloud environment
Strong communication and storytelling skills, including the ability to present complex analytical concepts, sound recommendations, influence decisions, and trade-offs to business partners, executives, and technical audiences.
Ownership mindset, commitment to risk management, responsible AI, data governance, privacy, compliance, and internal policy expectations.
Experience with data visualization tools such as Tableau or Power BI.
Knowledge of Contact Centre business operations is preferred.

Skills

Python
PySpark
SQL
PowerBI
statistical methods
machine learning
natural language processing
experimentation
cloud-based analytics tools
Databricks
Tableau

Location

Toronto, Ontario, Canada

Work Type

Full-time

Experience Level

5+ years of experience in data science, advanced analytics, or a related quantitative field

Education Level

Degree in a quantitative discipline (e.g., data science, statistics, computer science, engineering, finance); graduate degree preferred

Salary/Compensations

$96,900 - $136,800 CAD

Benefits

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

About the Company

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.

Equal Opportunity

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.
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.
We will provide training and onboarding sessions to ensure that you’ve got everything you need to succeed in your new role.
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.
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.