Data Scientist II
Role Overview
The Data Scientist II supports Investing Products within the Everyday Advice Journey and delivers advanced analytics to improve product strategy and portfolio performance.
The role translates complex data into actionable insights and partners with business, risk, and technology teams.
The Analytics, Insights and Artificial Intelligence team provides analytics support across the organization.
Key Skills for This Role
Full Job Posting
Role overview
The Data Scientist II supports Investing Products within the Everyday Advice Journey and delivers advanced analytics to improve product strategy and portfolio performance.
The role translates complex data into actionable insights and partners with business, risk, and technology teams.
The Analytics, Insights and Artificial Intelligence team provides analytics support across the organization.
Key responsibilities
- Deliver enterprise-data insights for product, pricing, customer, and portfolio decisions.
- Lead advanced analytics, including regression, clustering, time series, and causal inference, to address complex business problems.
- Advise business partners and influence decisions through clear, compelling insights.
- Build scalable data assets, dashboards, and analytical tools for repeatable insights.
- Communicate insights to technical and non-technical audiences, including senior leaders.
Required qualifications
- Three or more years of data science or advanced analytics experience, including ownership of complex, high-impact initiatives.
- A degree in a quantitative discipline such as data science, business management, statistics, economics, computer science, or engineering.
- Advanced SQL and Python/PySpark proficiency and experience building production-ready analytical solutions.
- Strong grounding in statistics, A/B testing and experimentation, and applied machine learning.
- Experience developing analytical data assets, automation, and models at scale.
- Strong communication and stakeholder-influence skills, plus proficiency with Excel and PowerPoint.
Nice to have
- Financial services experience, particularly Canadian Personal Banking and/or Wealth, is an asset.
- Power BI experience is an asset.
Pay information
- The stated base pay range is $81,600 to $115,200 CAD; the posting does not specify a pay cadence.
Work location
- The listed work location is Toronto, Ontario, Canada.
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