Data Scientist II
Role Overview
The Analytics, Insights and Artificial Intelligence team supports Canadian Personal Banking with data, reporting, analytics, insights, and AI solutions.
The Credit Cards and Personal Lending team combines market research, business analytics, data science and modeling, business intelligence, and visualization to inform decisions.
This role supports the credit-card acquisition and engagement team and provides analytical interpretation, insights, and action items to business partners.
The team is primarily in Toronto, with a limited presence in Ottawa.
Key Skills for This Role
Full Job Posting
Role overview
The Analytics, Insights and Artificial Intelligence team supports Canadian Personal Banking with data, reporting, analytics, insights, and AI solutions.
The Credit Cards and Personal Lending team combines market research, business analytics, data science and modeling, business intelligence, and visualization to inform decisions.
This role supports the credit-card acquisition and engagement team and provides analytical interpretation, insights, and action items to business partners.
The team is primarily in Toronto, with a limited presence in Ottawa.
Pay details
- The stated base-pay range is $81,600–$115,200 CAD; no pay cadence is specified in the supplied text.
Core responsibilities
- Develop and own data-driven solutions for the Canadian Personal Line of Credit domain; partner with stakeholders and translate business needs into analytical solutions.
- Use Python, PySpark, SQL, statistics, and advanced analytics on large datasets to develop recommendations and insights.
- Visualize results and communicate findings to decision-makers and stakeholders at all technical levels.
- Collaborate with AI/ML scientists, analysts, software engineers, data engineers, and application developers on scalable, sustainable machine-learning and data-science solutions.
- Explain scientific methods such as hypothesis testing and statistical validation, provide thought leadership, and share knowledge with the team.
- Lead, coach, mentor, empower, and educate peers.
Required qualifications
- 3+ years of relevant data science experience.
- Academic background in Math, Statistics, Computer Science, or a related field.
- Demonstrated use of analytical languages, tools, or platforms such as Python, PySpark, SQL, Tableau, Power BI, or Databricks on large datasets, with a record of business impact.
- Strong problem-solving skills, ability to navigate ambiguity, and ability to deliver well-defined solutions.
- Excellent communication skills and experience presenting insights to executive leaders and business partners.
- Ability to work as part of a team on initiatives improving decisions, processes, systems, and applications.
Preferred knowledge
- Advanced statistical inference techniques are a strong asset.
- Knowledge of consumer lending, especially Personal Line of Credit or loans, is preferred.
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