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 helps protect our clients and the bank by building intelligent solutions that support faster, more informed decision-making. As an AI Scientist, you'll develop, test, deploy, and monitor artificial intelligence and machine learning solutions that address complex business challenges. You'll work with data to uncover insights, support model development, and help translate business needs into scalable analytical solutions. You’ll build and enhance traditional machine learning models to solve fraud analytics use cases. You'll collaborate with partners across technology and business teams to deliver models that are practical, reliable, and aligned to client and operational needs. In this role, you'll also contribute to improving model performance, supporting implementation, and monitoring outcomes to help ensure solutions continue to deliver value over time.

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

• Model Development - Develop and test machine learning and artificial intelligence models to support fraud, cyber, and client account management use cases.
• Data Analysis - Use tools such as Python, PySpark, SQL, and Databricks to prepare data, perform analysis, and generate insights that inform model design and performance.
• Deployment Support - Contribute to deploying analytical solutions into production environments and support implementation activities with partners across technology and business teams. Participate in the end-to-end machine learning lifecycle, including data preparation, model development, validation, deployment, monitoring, and continuous improvements in partnership with engineering teams.
• Model Monitoring - Monitor model performance, identify issues or opportunities for improvement, and help maintain reliable, scalable solutions over time.
• Collaboration - Work closely with cross-functional teams to understand business needs, communicate findings clearly, and support the delivery of practical, high-impact solutions.

Who you are

• You bring 4–6 years of experience in traditional machine learning, with hands-on experience building classification models for large projects. You have hands-on experience working with Python, PySpark, SQL, and Databricks in a production analytics environment.
• You have a degree in Computer Science, Mathematics, Statistics, Business, or a related discipline.
• You give meaning to data. You enjoy working with data to solve problems, identify patterns, and turn complex information into meaningful insights.
• You're motivated by collective success. You work well with others and can explain technical concepts in a clear, thoughtful way to different audiences.
• You look beyond the moment. You're focused on continuous improvement. You look for ways to enhance model performance, strengthen processes, and support better outcomes for clients and the business.
• Values matter to you. You bring your 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 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]

• 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

2027-10-29

Job Location

Toronto-81 Bay, 21st Floor

Employment Type

Temporary (Fixed Term)

Weekly Hours

37.5

Skills

Advanced Analytics, Analytics, Apache Spark MLlib, Bayesian Classification, Big Data, Big Data Computing, Big Data Technologies, Classification Techniques, Data Analysis, Data Analytics, Data Manipulation, Data Science, Datasets, Data Visualization, End-to-End Testing, Graph Theory, Machine Learning (ML), PL/SQL (Programming Language), Predictive Modeling, Python (Programming Language), Spark SQL, Structured Query Language (SQL), Transact-SQL