Data Scientist III

Description

The Analytics, Insights & Artificial Intelligence (AI2) team turns enterprise data into insights that guide decisions and planning across the company.

AI2's Canadian Personal Banking (CPB) team supports analytics end to end, covering reporting, advanced analytics and AI solutions, with the aim of producing measurable business results.

The role supports the Flow of Funds initiative, which centres on a core data asset and uses advanced analytics to shape enterprise product strategy and portfolio performance.

The company is one of the world's leading financial institutions and the fifth largest bank in North America by branches. It serves more than 27 million households and businesses in Canada, the United States and elsewhere, and employs over 95,000 colleagues.

The interview process: the team contacts candidates it is interested in to arrange an interview, and aims to share outcomes with all applicants by email or phone.

Responsibilities

• Translate complex data into insights that shape product strategy, customer experience and pricing, working closely with business, risk and technology teams.
• Build scalable data assets, dashboards and analytical tools that make insights repeatable.
• Produce insights from enterprise data that inform product, pricing, customer and portfolio decisions.
• Carry out advanced analysis such as regression, clustering, time series and causal inference to solve complex business problems.
• Advise business partners and influence their decisions with clear, persuasive insights.
• Work with data and technology partners to create reliable, high-quality, reusable data assets.
• Present findings to both technical and non-technical audiences, including senior leaders.
• Coach junior data scientists and help shape analytics best practices.

Requirements

• 5+ years of experience in data science or advanced analytics, including ownership of complex, high-impact work.
• A degree in a quantitative field such as data science, business management, statistics, economics, computer science or engineering.
• Advanced SQL and Python/PySpark skills, with experience building production-ready analytical solutions in Databricks.
• Advanced analytics engineering skills: building ETLs, analytical data assets, automation and models at production level using object-oriented programming.
• Solid working knowledge of version control with Bitbucket and GitHub.
• Strong statistical grounding in experimentation such as A/B testing, and in applied machine learning.
• Experience with, or strong interest in, AI APIs such as OpenAI and Gemini, applied to automation, insights, knowledge management systems (KMS) and other AI use cases.
• Strong communication skills, with the ability to explain complex technical topics to non-technical stakeholders and win their support.
• Proficiency in Excel and PowerPoint.
• Experience in financial services, particularly Canadian Personal Banking and/or Wealth.
• Experience with Power BI.

Conditions

Location: Toronto, Ontario, Canada.

Hours: 5.

Line of business: Analytics, Insights & Artificial Intelligence.

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

Pay is set within the range based on skills, experience, job-related knowledge, geographic location and business needs, and pay can rise over time as you progress in the role. Candidates are welcome to ask the recruiter about compensation.

Provincial employment regulations apply to this role, and each province or territory in Canada may set its own rules.

Benefits

• Total rewards include base salary, variable compensation, health and well-being benefits, savings and retirement programs, 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.