Senior AI Scientist – Fraud Analytics & ML Leader

CIBC; Toronto; Hybrid; CAD 120,000 - 170,000; Full time

Job summary

CIBC is seeking an AI Scientist to develop, test, deploy, and monitor machine learning models addressing fraud and client needs in a hybrid Toronto environment. You will work with Python, PySpark, SQL, and Databricks to prepare data, build models, and translate business problems into scalable analytics.

The role requires 4–6 years of ML experience, a degree in a related field, and the ability to collaborate across technology and business teams.

Qualifications

• Hands-on experience building classification models in production.
• Experience with ML lifecycle: data prep, validation, deployment, monitoring.
• Strong data analysis and interpretation skills.

Responsibilities

• Develop, test, deploy, and monitor AI/ML solutions for fraud, cyber, and client accounts.
• Use Python, PySpark, SQL, and Databricks to prepare data and generate insights.
• Collaborate with technology and business teams to deliver practical models.
• Monitor model performance and drive continuous improvement.

Skills

Analytical thinking

Communication of technical concepts

Team collaboration

Problem solving

Data-driven decision making

Education

Bachelor's degree in Computer Science, Mathematics, Statistics, Business, or related discipline

Tools

Python

PySpark

SQL

Databricks

Job description

CIBC is seeking an AI Scientist to develop, test, deploy, and monitor machine learning models addressing fraud and client needs in a hybrid Toronto environment. You will work with Python, PySpark, SQL, and Databricks to prepare data, build models, and translate business problems into scalable analytics.

The role requires 4–6 years of ML experience, a degree in a related field, and the ability to collaborate across technology and business teams.