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Added 12 mins ago
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CIBC

Consultant, Data and AI Scientist

Toronto, ON, Canada

Job type: Full-time
Apply by: Sep 29, 2026
Posting language: English
Posted: Sep 28, 2026

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Original job description

We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

To learn more about CIBC, please visit CIBC.com

What You’ll Be Doing

As a member of CIBC’s Capital Markets Technology team, the Consultant, Data and AI Scientist is responsible for supporting the delivery of advanced advice in data analytics, providing research and insights, and ensuring senior management has the relevant information to make informed decisions. The role performs tasks of technical depth and breadth, utilizing a solid understanding of business dynamics to conduct impactful analysis. As the Consultant, Data and AI Scientist, you will not only analyze data but also build intelligent AI solutions that deliver actionable business insights. You will apply statistical techniques and machine learning models for predictive and prescriptive analytics. You will also design and build AI agents that automate business insights generation and decision support.

At CIBC we enable the work environment most optimal for you to thrive in your role. You’ll have the flexibility to manage your work activities within a hybrid work arrangement where you’ll spend 2-3 days per week on-site, while other days will be remote.

How You’ll Succeed

Data Science Expertise: Provide advanced analytics solutions to solve business problem leveraging traditional statistical, machine learning and optimization techniques. Ability to conduct self-directed research, using non-traditional resources to solve business problems.
Business Consulting: Conduct business problem assessment independently. Gather relevant information related to business processes, functions and operations to evaluate data credibility and quality. Utilize creative thinking to modify or select the most suitable procedure/approach to solve a business problem. Perform in-depth analysis for the purpose of identifying revenue generating and cost saving opportunities.
Innovative Problem Solving : Actively lead the development, delivery, and continuous improvement of complex data analytics and visualization solutions. Focus on quality, depth of analysis, and clear communication of actionable recommendations.
Collaboration: Continuous collaboration with internal and external partners is key to success. Be open-minded, constantly acquire new knowledge, and share ideas to improve existing processes.

Who You Are

You can demonstrate experience in: 3–5 years in data analytics, business intelligence, or related roles. You must have at least 2 years of Azure Databricks and at least 1-2 years with GenAI like Microsoft Co-Pilot Studio; coupled with at least 4 years of SQL and Python experience. It’s an asset if you have worked within Capital Markets/Equities.
You have a degree in a quantitative field (i.e. mathematics, statistics, computer science, economics, engineering, physics, business) or equivalent experience.
You are a problem solver. You have exceptional critical thinking, problem solving and decision-making skills with demonstrated ability to independently identify and analyze business problems and recommend solutions.
You demonstrate knowledge in organization's Information Technology (IT) environment and understand the integration / interdependencies of various processes across a line of business.
Your influence makes a difference. You know that relationships and networks are essential to success. You inspire outcomes by sharing your expertise.
You’re digitally savvy. You seek out innovative solutions and embrace evolving technologies. You can easily adapt to new tools and trends.
You're motivated by collective success. You know that teamwork can transform a good idea into a great one. You know that an inclusive team that enjoys working together can bring a vision to life.
Values matter to you. You bring your real self to work, and you live our values - trust, teamwork, and accountability.

What CIBC Offers

At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a benefits program*, defined benefit pension plan*, an employee share purchase plan, a vacation offering, wellbeing support, and MomentMakers, our social, points-based recognition program.
Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.
We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.

*Subject to plan and program terms and conditions

What you need to know

CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com
CIBC is committed to clarity in our hiring process. All roles posted are opportunities we’re actively recruiting for, unless stated otherwise.
You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.
We may ask you to complete an attribute-based assessment and other skills test (such as simulation, coding, French proficiency).
We use artificial intelligence tools during the recruitment process. Our goal for the application process is to get to know more about you, all that you have to offer, and give you the opportunity to learn more about us.

Job Location

Toronto-81 Bay, 15th Floor

Employment Type

Regular

Weekly Hours

37.5

Skills

Analytical Thinking, Application Development, Applications Programming, Artificial Intelligence (AI), Data Analysis, Data Analytics, Emerging Technologies, Equity Markets, Machine Learning (ML), Microsoft Azure Databricks, Microsoft Power Business Intelligence (PBI), Python (Programming Language), SQL Databases, Work Collaboratively

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More about this job

Responsibilities

Deliver advanced data analytics and research to support business decisions, identify revenue opportunities and cost savings, and provide actionable recommendations. Develop and continuously improve analytics and visualization solutions, including machine learning models and AI agents that automate business insights and decision support.

Requirements

Candidates should have 3–5 years of experience in data analytics, business intelligence, or a related field, including at least 2 years with Azure Databricks, 1–2 years with generative AI tools such as Microsoft Copilot Studio, and 4 years with SQL and Python. A degree or equivalent experience in a quantitative field is required, while Capital Markets or Equities experience is an asset.

Skills

Data Analytics
Business Intelligence
Azure Databricks
Generative AI
SQL
Python
Statistical Analysis
Machine Learning
Optimization
Predictive Analytics
Prescriptive Analytics
AI Agent Development
Data Visualization
Microsoft Power BI
Capital Markets
Critical Thinking

Benefits

Competitive Salary
Incentive Pay
Banking Benefits
Benefits Program
Defined Benefit Pension Plan
Employee Share Purchase Plan
Vacation
Wellbeing Support
Employee Recognition Program
Paid Personal Development Day

Visa sponsorship

Not detected in the job text

Keywords

Data Analytics
Business Intelligence
Azure Databricks
Generative AI
Microsoft Copilot Studio
SQL
Python
Machine Learning
Statistical Analysis
Optimization
Predictive Analytics
Prescriptive Analytics
AI Agents
Data Visualization
Microsoft Power BI
Capital Markets
Equities
Business Consulting
Business Process Analysis
Data Quality
Revenue Generation
Cost Savings
Decision Support
Actionable Insights
Research
Technology Integration

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