AI Scientist Co-op

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 a central hub of data science and AI expertise at CIBC, leading the way in applying best practices in predictive science, machine learning, and artificial intelligence, while leveraging the latest big data technology platforms. We also collaborate with leading academic institutions in the fields of AI and machine learning to promote the exchange of the latest technological developments and to enrich our talent pool.

As an AI Scientist, you will apply your knowledge and experience in AI/ML techniques to solve challenging business problems and bring innovative solutions. You will interact with diverse groups of partners across the organization and work with real-world structured and unstructured datasets to produce end-to-end solutions, taking models from experimentation to deployment.

At CIBC we enable the work environment most optimal for you to thrive in your role. Details on your work arrangement (proportion of on-site and remote work) will be discussed at the time of your interview

 

Important information

 

• 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 – October; Interviews – October/November ; Offers – November/December
• 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
• 4 and 8 month opportunities are available. Multiple positions available under this posting.

 

How You’ll Succeed 

·       Support the development, deployment, and operationalization of advanced analytics and AI/ML solutions using statistics, machine learning, generative AI, and optimization techniques.

·       Work with AI Scientists to explore analytical approaches, conduct research, and contribute to solving business challenges through practical AI applications.

·       Assist with deploying and supporting AI/ML solutions on Databricks and Azure Kubernetes Service (AKS), while also contributing to application development activities.

·       Collaborate with technical teams and business stakeholders to understand needs, identify opportunities, and help translate data into actionable insights that inform decision-making.

·       Build strong working relationships through effective communication and teamwork.

·       Participate in a collaborative analytics community by sharing ideas, learning best practices, and contributing to innovative AI and machine learning use cases across the organization.

Who You Are

·       You are currently enrolled in a Bachelor’s or Master’s program in Computer Science, Software Engineering, Computer Engineering, Data Science, AI/ML, or a related field, and are available for an 8-month co-op term.

·       You have demonstrated experience through academic or project work in Python, SQL, and machine learning fundamentals.

·       You have an interest in deploying AI/ML solutions into production and supporting application development in a cloud environment.

·       You are familiar with or eager to learn technologies such as Databricks, Azure, Docker, Kubernetes, AKS, Spark, and Git.

·       You are a collaborative, detail-oriented, and curious problem solver who enjoys working in a team environment and learning from others.

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 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.

Expected End Date

2027-08-20

Job Location

Toronto-81 Bay, 21st Floor

Employment Type

Temporary (Fixed Term)

Weekly Hours

37.5

Skills

Artificial Intelligence (AI), Azure Kubernetes Service (AKS), Cloud Technology, Databricks Platform, Docker (Software), Generative AI, Git, Kubernetes, Machine Learning (ML), PySpark, Python (Programming Language), Software Engineering, Structured Query Language (SQL)