Data Scientist III

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 Overview: TD's Analytics, Insights and Artificial Intelligence (AI2) team provides consultative support with data & analytics-based business insights and/or solutions to guide decision making and/or strategic planning. 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. The Canadian Personal and Small Business Banking (CPSB) team supports the day-to-day activities of the CPSB businesses, working with business partners to address their analytics needs by providing end-to-end support of data, reporting, analytics, insights, and artificial intelligence solutions. Job Description: We are seeking a Data Scientist III to lead AI adoption and AI-enabled process transformation for the CPSB AI2 team. This role will work across business, analytics, data, technology, risk, and governance partners to understand and consolidate existing processes, identify high-value opportunities to integrate AI solutions, and lead initiatives from discovery through implementation and adoption. The successful candidate will combine AI and analytics knowledge with process improvement, project leadership, and strong stakeholder influence to deliver practical, controlled, and measurable improvements in how the team works. Some of the key responsibilities of this role include the following: Assess and document existing end-to-end processes, pain points, controls, dependencies, and handoffs across teams. Facilitate workshops with stakeholders to consolidate fragmented processes and establish clear current-state and future-state workflows. Identify, evaluate, and prioritize opportunities to embed AI, automation, and analytics into business and data processes based on value, feasibility, risk, and adoption readiness. Translate business opportunities into defined AI use cases, requirements, success measures, delivery plans, and change impacts. Lead cross-functional AI adoption and transformation initiatives from discovery and proof of concept through implementation, validation, rollout, and continuous improvement. Develop integrated project plans, milestones, dependencies, risks, decision points, and stakeholder accountabilities; provide clear status reporting and escalate issues when required. Build alignment across business, technology, data, risk, privacy, and governance partners; influence stakeholders to make decisions, contribute resources, and adopt new ways of working. Establish practical governance and quality controls so AI-enabled processes are responsible, traceable, testable, and sustainable, while tracking adoption, efficiency, quality, and business outcomes after implementation. Job Requirements: Undergraduate or advanced degree in data science, computer science, engineering, statistics, business analytics, operations research, or a related quantitative field; graduate degree preferred. 5+ years of experience in data science, analytics, AI/automation delivery, process transformation, consulting, or cross-functional project leadership roles. Technical Skills Working knowledge of generative AI, machine learning, natural language processing, AI assistants/agents, prompt design, and workflow automation, with the ability to select the right approach for a business problem. Proficiency in Python and SQL, with experience using common data and machine-learning libraries and working in Databricks or a comparable cloud analytics platform. Experience prototyping, testing, and operationalizing AI-enabled solutions, including evaluation criteria, human-in-the-loop controls, monitoring, documentation, and responsible AI considerations. Experience integrating AI or automation with enterprise data, APIs, semantic models, reporting tools, and existing business workflows; Power BI experience is an asset. Strong data analysis and visualization skills, including the ability to assess process performance, quantify opportunities, establish baselines, and measure adoption and business outcomes. Project Lead & Consulting Skills Demonstrated ability to lead complex, cross-functional initiatives from problem definition through implementation and adoption. Skilled in process discovery and redesign methods, including stakeholder interviews, workshop facilitation, current-state/future-state mapping, root-cause analysis, use-case prioritization, and benefits definition. Strong project planning and delivery skills, including scope, roadmap, milestones, dependencies, risks, resources, governance, change impacts, and executive-level status reporting. Ability to translate business problems into clear AI, data, process, and technical requirements, while balancing business value, feasibility, controls, and user experience. Proven stakeholder management and influencing skills, with the ability to build alignment, resolve competing priorities, drive decisions, and secure cooperation across teams without relying on direct authority. Soft Skills Excellent communicator and facilitator who can explain AI opportunities, limitations, risks, and recommendations to both technical and non-technical audiences. Structured, curious, and outcome-oriented, with strong judgment and the ability to navigate ambiguity, challenge existing processes constructively, and manage multiple priorities. Collaborative change leader who builds trust, encourages adoption, works independently, and helps teams develop sustainable Human + AI ways of working. 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 provinci