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 and AI team is the central hub of data science and AI expertise within CIBC, and is leading the way to apply the best practices in predictive science, machine learning, artificial intelligence and leverage the latest in big data technology platforms. We also engage with the leading academic & research institutes in the space of AI and machine learning to promote the exchange of latest technology developments and enrich our talents. As a Data Scientist Co-op on this team, you will support strategic initiatives, recommending and delivering complex advanced models and AI solutions to support their goals.

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.

Important

We may ask you to complete an attribute-based assessment and other skills tests (such as simulation, coding, French proficiency, MS Office). 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.

You must be currently enrolled in post-secondary education and returning to full-time studies to be eligible. However, you do not need to be in a registered Co-Op program to be considered for a role.

Recruitment timeline: Applications review – September/ October; Interviews – September/ October; Offers – October/ November

Please include your resume (no more than 2 pages), a cover letter (no more than 1 page), and your most recent unofficial transcript with your application. These should all be uploaded into the Resume section of the application as one pdf document

This is a 4-month co-op opportunity.

How You’ll Succeed

Apply AI & ML to solve real-world problems- You will utilize your knowledge in statistics, machine learning and/or optimization to frame business problems in a data science context. You will build data products by writing code that is modular, reliable, maintainable & replicable.
Utilize a consulting mindset when engaging with our partners- You will work closely with our business partners to understand their challenges by asking the right questions to gather information. You will put in the effort to understand the business problem and to answer any questions and concerns brought up by our partners.
Remain intellectually curious with a drive to constant improve our techniques and approaches to AI/ML problems- You will collaborate with data experts to learn about data and engineer relevant features. You will effectively collaborate with other data scientists and engineers to work together and build data products.

Who You Are

You are pursuing a degree in math, engineering, computer science, the natural sciences, other related quantitative field, or equivalent work experience.
You demonstrate knowledge of traditional AI/ML techniques in prediction, classification, forecasting, optimization, Natural Language Processing (NLP).
You have familiarity or experience with modern data science, machine learning and AI/ML toolkits, such as Pandas, scikit-learn, XGBoost, spaCy, Keras & Huggingface/Transformers. An understanding of GenAI and LLMs with a working knowledge of fine-tuning, RAG patterns, agentic workflows.
You have familiarity of API frameworks, such as Flask and FastAPI, as well as containerization technologies, such as Docker. Knowledge of operations based use cases involving document extraction & OCR is a big asset.
You have a working knowledge of Azure based cloud AI services and frameworks.
You are a problem solver. You have exceptional critical thinking, problem solving, and decision making skills with demonstrated ability to independently identify and analyze problems and recommend solutions. You are passionate about the responsible and ethical use of AI to benefit society. You enjoy conducting research, developing processes and guidance, and educating others on this important topic.
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 work to recognize you in meaningful, personalized ways including a competitive compensation, a banking benefit*, wellbeing support and additional offers such as employee and family assistance programs 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.

*Subject to 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 [email protected]
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 tests (such as simulation, coding, French proficiency, MS Office). 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.

Expected End Date

2026-04-24

Job Location

Toronto-81 Bay, 21st Floor

Employment Type

Temporary (Fixed Term)

Weekly Hours

37.5

Skills

Computer Science, Consulting, Data Science, Machine Learning