Data Scientist III

Description

The team sits within the company's Analytics, Insights and Artificial Intelligence group and gives consultative data and analytics support so business partners can make decisions and plan strategy. The company is one of the world's leading global financial institutions, serving over 27 million households and businesses in Canada, the United States and abroad, with more than 95,000 colleagues.

The Canadian Personal and Small Business Banking team handles day-to-day analytics for its businesses, from data and reporting through to analytics, insights and artificial intelligence solutions.

This Data Scientist III role leads AI adoption and AI-driven process change for the CPSB AI2 team. You will work with business, analytics, data, technology, risk and governance partners to map current processes, find high-value places to add AI, and take initiatives from discovery through to adoption. The role calls for AI and analytics knowledge, process improvement skills, project leadership and the ability to influence stakeholders, with the goal of practical, controlled and measurable improvements to how the team works.

Responsibilities

• Map and document end-to-end processes, including pain points, controls, dependencies and handoffs between teams.
• Run stakeholder workshops to bring fragmented processes together and define clear current-state and future-state workflows.
• Assess and rank chances to add AI, automation and analytics to business and data processes by value, feasibility, risk and readiness for adoption.
• Turn business opportunities into defined AI use cases, with requirements, success measures, delivery plans and change impacts.
• Lead cross-functional initiatives from discovery and proof of concept through implementation, validation, rollout and ongoing improvement.
• Build integrated project plans covering milestones, dependencies, risks, decision points and stakeholder accountabilities, and report status clearly, escalating issues when needed.
• Align business, technology, data, risk, privacy and governance partners, and get stakeholders to make decisions, commit resources and change how they work.
• Set up practical governance and quality controls so AI-enabled processes are responsible, traceable, testable and sustainable, and track adoption, efficiency, quality and business outcomes after launch.

Requirements

• Undergraduate or advanced degree in data science, computer science, engineering, statistics, business analytics, operations research or a related quantitative field. A graduate degree is preferred.
• 5+ years of experience in data science, analytics, AI or automation delivery, process transformation, consulting or cross-functional project leadership.
• Working knowledge of generative AI, machine learning, natural language processing, AI assistants and agents, prompt design and workflow automation, and the judgment to pick the right approach for a business problem.
• Proficiency in Python and SQL, with experience in common data and machine learning libraries and in Databricks or a comparable cloud analytics platform.
• Experience prototyping, testing and operating AI-enabled solutions, including evaluation criteria, human-in-the-loop controls, monitoring, documentation and responsible AI practices.
• Experience connecting 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 assessing process performance, sizing opportunities, setting baselines and measuring adoption and business results.
• Proven ability to lead complex cross-functional initiatives from problem definition through to adoption.
• Skilled in process discovery and redesign, including stakeholder interviews, workshop facilitation, current-state and future-state mapping, root-cause analysis, use-case prioritization and defining benefits.
• Strong planning and delivery skills covering scope, roadmap, milestones, dependencies, risks, resources, governance, change impacts and executive-level status reporting.
• Ability to turn business problems into clear AI, data, process and technical requirements while weighing value, feasibility, controls and user experience.
• Proven stakeholder management and influence, with the ability to build alignment, resolve competing priorities and secure cooperation across teams without direct authority over them.
• Excellent communicator and facilitator who can explain AI opportunities, limits, risks and recommendations to technical and non-technical audiences.
• Structured, curious and outcome-focused, with sound judgment, comfort with ambiguity, a constructive approach to challenging existing processes, and the ability to manage several priorities.
• Collaborative change leader who builds trust, drives adoption, works independently and helps teams build lasting ways of working that combine people and AI.

Conditions

Location: Toronto, Ontario, Canada.

Hours: 5.

Line of business: Analytics, Insights and Artificial Intelligence.

Base salary range: $96,900 to $136,800 CAD.

Actual base pay may vary based on skills, experience, job-related knowledge, geographic location and other business needs. Candidates are encouraged to ask the recruiter about pay.

This role is subject to provincial employment regulation, and each province or territory in Canada may set its own rules.

Candidates of interest will be contacted to arrange an interview, and outcomes are communicated by email or phone.

Benefits

• Total rewards include base salary, variable compensation, health and well-being benefits, savings and retirement plans, paid time off, banking benefits and discounts, career development, and recognition programs.
• Regular career, development and performance conversations with your manager.
• Access to an online learning platform and a range of mentoring programs.
• Training and onboarding sessions to help you settle into the role.