- Location
- Toronto-81 Bay, 25th Floor, Canada
- Workplace
- Remote, Hybrid, Onsite
- Type
- Full-time
- Department
- Education
- Seniority
- Senior
- Closing date
- Today
- Source
- Workday
Description
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 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, you'll design, build, deploy, and optimize advanced machine learning and agentic artificial intelligence solutions that support personalization, decisioning, and operational efficiency. You'll 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. You'll help strengthen ModelOps practices by supporting model lifecycle management, monitoring, retraining, documentation, and performance tracking. You'll also contribute to responsible artificial intelligence, governance, and validation readiness while helping integrate data and artificial intelligence capabilities across on-premises and cloud environments. In this hands-on role, you'll 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. 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
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
You're 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.
You're 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.
You're 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.
You're 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.
You're 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 [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.
Job Location
Toronto-81 Bay, 25th FloorEmployment Type
RegularWeekly Hours
37.5Skills
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
