We’re building a relationship-oriented bank for the contemporary world. 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. 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. 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. Continuous improvement - Evaluate emerging artificial intelligence techniques, tools, and practices,



and apply them responsibly to improve outcomes and operational excellence.

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 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 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 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 stay current on developments in machine learning, large language models, and agentic artificial intelligence, and you apply innovation responsibly in a regulated environment.

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. 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.

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 #

📌 Senior AI Data Scientist (Toronto)
🏢 CIBC
📍 Toronto