Senior AI Data Scientist
About The Position
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.
Requirements
- 3-5+ years of hands-on experience in data science, machine learning, or AI solution development using Python, PySpark, and related open-source tools.
- Experience building, training, evaluating, and deploying machine learning models using tools such as scikit-learn, TensorFlow, PyTorch, and PySpark machine learning libraries.
- Practical experience in Databricks and cloud environments.
- Understanding of ModelOps and MLOps practices, including experiment tracking, version control, deployment, monitoring, retraining, and lifecycle governance.
- Ability to produce clear, audit-ready documentation.
- Experience working with large, complex datasets.
- Ability to assess data quality and suitability.
- Ability to translate technical methodologies, risks, and recommendations clearly for both technical and non-technical partners.
- Stay current on developments in machine learning, large language models, and agentic artificial intelligence.
- Apply innovation responsibly in a regulated environment.
- Bring your real self to work, and live our values - trust, teamwork, and accountability.
Responsibilities
- Design, build, deploy, and optimize advanced machine learning and agentic artificial intelligence solutions.
- Support personalization, decisioning, and operational efficiency.
- Partner closely with business leaders, data engineering teams, model validation partners, and enterprise artificial intelligence stakeholders.
- Translate complex business challenges into practical, high-impact solutions.
- Strengthen ModelOps practices by supporting model lifecycle management, monitoring, retraining, documentation, and performance tracking.
- Contribute to responsible artificial intelligence, governance, and validation readiness.
- Integrate data and artificial intelligence capabilities across on-premises and cloud environments.
- Serve as a senior hands-on contributor in machine learning and agentic artificial intelligence development, with a strong focus on Databricks and cloud environments.
- Embed best practices for model lifecycle management, monitoring, validation readiness, documentation, and production reliability into day-to-day delivery.
- Assess business challenges, identify high-value analytical opportunities, and deliver practical recommendations that create measurable business value.
- Evaluate emerging artificial intelligence techniques, tools, and practices, and apply them responsibly to improve outcomes and operational excellence.
- Share knowledge, support peers, and contribute to an inclusive, high-performing team culture aligned with the CIBC way of working.
Benefits
- competitive salary
- incentive pay
- banking benefits
- a benefits program
- defined benefit pension plan
- employee share purchase plan
- a vacation offering
- wellbeing support
- MomentMakers, our social, points-based recognition program
- Purpose Day; a paid day off dedicated for you to use to invest in your growth and development
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
