Work Location:
Toronto, Ontario, Canada

Hours:
37.5

Line of Business:
Analytics, Insights, & Artificial Intelligence

Pay Details:
$96,900 - $136,800 CAD

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 Overview:

Within Analytics, Insights and Artificial Intelligence (AI2), this role will help develop and deliver AI, machine learning, advanced analytics, and business intelligence capabilities that support 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 - CPB, US, Wealth, TDI, & Customer Assistance. NACO's 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. Together, we help NACO improve customer and colleague experiences, unlock operational efficiency, strengthen quality and compliance, and create value across TD.

Job Description/Role Overview:

As a Data Scientist III, you will be a technical delivery leader responsible for shaping, building, and sustaining analytics and AI capabilities. You will lead complex and innovative initiatives from opportunity identification and data discovery, through model development, validation, deployment support, performance monitoring, and ongoing sustainment including optimization.

The leadership team will rely on your deep technical expertise, strong ownership, and delivery leadership. You will translate business needs into refined and scalable requirements for data science solutions, guide cross-functional partners through technical trade-offs, and ensure AI capabilities are designed and delivered to meet key AI2 & NACO objectives.

Core 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.

Required Skills & Qualifications:

• 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.

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