AI Scientist

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

The Advanced Analytics & AI team is the central hub of data science and AI expertise within CIBC and is leading the way in applying best practices in predictive science, machine learning, artificial intelligence, and Generative AI across the enterprise. Reporting to the Director, Advanced Analytics & AI, the AI Scientist will contribute to the design, development, and deployment of innovative AI and GenAI solutions focused on document intelligence, automation, and operational efficiency. This role will support enterprise-wide initiatives across business domains including operations, fraud, finance, risk, and retail banking. You will work closely with senior AI practitioners and cross-functional teams to build scalable, production-ready AI solutions that solve real business problems and create meaningful impact.

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 1-3 days per week on-site, while other days will be remote.

How you’ll succeed

• Apply AI & ML to solve real-world business problems – Utilize your knowledge of machine learning, Generative AI, and statistics to support the development of scalable AI solutions and automation capabilities.
• Build and enhance GenAI applications – Contribute to enterprise AI initiatives involving document intelligence, OCR, NLP, prompt engineering, LLM workflows, and AI-powered automation solutions.
• Collaborate across teams – Partner with senior AI practitioners, technology teams, and project stakeholders to support the delivery of innovative AI use cases across the bank.
• Support AI product development – Assist in building reliable, maintainable, and production-ready AI applications within cloud-based environments.
• Continuously learn and innovate – Stay current with emerging AI technologies, techniques, and trends while contributing fresh ideas and intellectual curiosity to the team.
• Contribute to impactful enterprise initiatives – Work on cutting-edge AI use cases that improve operational efficiency, productivity, and decision-making capabilities across multiple lines of business.

Who you are

• You have hands-on experience or exposure to LLMs, prompt engineering, NLP, OCR, document extraction, or AI automation through coursework, co-ops, internships, research projects, thesis work, or side projects. You can demonstrate foundational knowledge in Machine Learning, Statistics, Artificial Intelligence, and Generative AI concepts. You have experience with Python and modern AI/ML tooling and frameworks. Exposure to cloud platforms such as Azure is considered an asset. You have familiarity with AI/ML libraries and frameworks such as Pandas, Scikit-learn, XGBoost, Flask, FastAPI, or similar technologies.
• You have a degree in. Computer Science, Engineering, Mathematics, Statistics, Economics, Natural Sciences, Psychology, or another STEM-related discipline. A Master’s degree is considered an asset.
• You are a problem solver. You possess solid problem solving skills and solid judgement to provide input and advice to senior management. You have attention to details and can apply critical thinking to inform decision making.
• You are an owner. You thrive when empowered to take the lead, go above and beyond, and deliver results.  
• You're motivated by collective success. You value collaboration and embrace the power of an inclusive team that enjoys working together to bring a shared vision to life.
• Values matter to you. You bring you real self to work and you live our values - trust, teamwork, and accountability.

#LI-TA

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, 21st Floor

Employment Type

Regular

Weekly Hours

37.5

Skills

Artificial Intelligence (AI), Artificial Intelligence Algorithms, Data Analysis, Machine Learning (ML), Python (Programming Language), Statistical Analysis