Were building a relationship-oriented bank for the modern world. We need talented passionate professionals who are dedicated to doing whats 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
What youll be doing
The AI and Advanced Modeling team develops innovative scalable solutions that help deliver more personalized client experiences and stronger business decisions. As a Senior AI Data Scientist youll design build deploy and optimize advanced machine learning and agentic artificial intelligence solutions that support personalization decisioning and operational efficiency. Youll partner closely with business leaders data engineering teams model validation partners and enterprise artificial intelligence stakeholders to translate complex business challenges into practical high-impact solutions. Youll help strengthen ModelOps practices by supporting model lifecycle management monitoring retraining documentation and performance tracking. Youll also contribute to responsible artificial intelligence governance and validation readiness while helping integrate data and artificial intelligence capabilities across on-premises and cloud this hands-on role youll bring deep technical expertise sound judgment and curiosity to a fast-moving agile environment aligned with the CIBC way of working.
At CIBC we enable the work environment most optimal for you to thrive in your role. Youll have the flexibility to manage your work activities within a hybrid work arrangement where youll spend 1-3 days per week on-site while other days will be remote.
How youll succeed
Collaboration - Build strong working relationships across data science engineering model validation governance and business teams to deliver well-governed high-impact AI solutions.
Technical leadership - Serve as a senior hands-on contributor in machine learning and agentic artificial intelligence development with a strong focus on Databricks and cloud environments.
ModelOps and governance - Embed best practices for model lifecycle management monitoring validation readiness documentation and production reliability into day-to-day delivery.
Business consulting - Assess business challenges identify high-value analytical opportunities and deliver practical recommendations that create measurable business value.
Continuous improvement - Evaluate emerging artificial intelligence techniques tools and practices and apply them responsibly to improve outcomes and operational excellence.
Team contribution - Share knowledge support peers and contribute to an inclusive high-performing team culture aligned with the CIBC way of working.
Who you are
Youre an experienced artificial intelligence practitioner. You bring 3-5 years of hands-on experience in data science machine learning or AI solution development using Python PySpark and related open-source tools.
Youre technically strong. You have experience building training evaluating and deploying machine learning models using tools such as scikit-learn TensorFlow PyTorch and PySpark machine learning libraries with practical experience in Databricks and cloud environments.
Youre skilled in enterprise delivery. You understand ModelOps and MLOps practices including experiment tracking version control deployment monitoring retraining and lifecycle governance and you can produce clear audit-ready documentation.
Youre a thoughtful problem solver. You work with large complex datasets assess data quality and suitability and translate technical methodologies risks and recommendations clearly for both technical and non-technical partners.
Youre curious and adaptable. You stay current on developments in machine learning large language models and agentic artificial intelligence and you apply innovation responsibly in a regulated environment.
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 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
CIBC is committed to clarity in our hiring process. All roles posted are opportunities were 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 25th Floor
Employment Type
Regular
Weekly Hours
37.5
Skills
Big Data Technologies Cloud Applications Critical Thinking Databricks Unity Catalog Data Manipulation Data Visualization Machine Learning (ML) Machine Learning Methods PL/SQL (Programming Language) Predictive Modeling PySpark Python (Programming Language) Python Sqlite3 R Programming R Statistics SAS Platform scikit-learn Statistical Analysis Tensorflow
Required Experience:
Senior IC
Experience: years
Vacancy: 1