Senior AI Scientist, GenAI & Customer Intelligence

Canadian Tire Financial Services; Toronto; Hybrid; CAD 64,000 - 106,000; Full time

Benefits offered by this job

Comprehensive benefits and retirement

Performance incentives

Continued Education Programs

Well-being perks

Career growth and product discounts

Job summary

Canadian Tire Corporation, Limited is seeking a Senior Applied AI Scientist to advance analytics for customer intelligence. You will develop and productionize ML and GenAI models across millions of transactions, focusing on occasion discovery, transaction classification, and informative prompts to improve personalization and downstream analytics.

The role requires a PhD-level background, 5+ years in ML/AI, strong Python/SQL skills, and hands-on experience with LLMs, Azure Databricks, and MLflow.

Qualifications

• Graduate degree, preferably PhD, in Computer Science, Machine Learning, Artificial Intelligence, Statistics, Mathematics, Engineering or a related quantitative discipline.
• 5+ years of developing and applying ML or AI models to complex, real-world problems, including hands-on experience with GenAI and foundation LLMs.
• Advanced Python skills and strong experience with SQL, PySpark, and large-scale datasets.
• Hands-on experience with LLMs and prompt engineering, including prompt design, context construction, structured outputs, testing, and optimization.
• Experience selecting, evaluating and tuning foundation models, with a clear understanding of when to use prompt engineering, retrieval, model adaptation or fine-tuning.

Responsibilities

• Develop and improve the ML and GenAI models used to identify customer shopping missions, generate occasion definitions, and classify transactions.
• Design and improve the prompts, context strategies and model-tuning approaches used to generate, describe, and refresh customer occasions.
• Build robust evaluation frameworks for ML and GenAI outputs, including representative test sets, quality measures, human review, regression testing, and analysis of failure modes.
• Monitor model performance over time and recommend retraining, tuning, taxonomy changes or new modelling approaches where required.
• Translate customer and retail problems into clear modelling objectives, success measures, and technical requirements.

Skills

ML/AI modelling

GenAI/LLMs

Python

SQL

PySpark

Model evaluation

Prompt engineering

Azure Databricks

MLflow

Personalization

Education

PhD preferred

Tools

MLflow

Job description

Canadian Tire Corporation, Limited is seeking a Senior Applied AI Scientist to advance analytics for customer intelligence. You will develop and productionize ML and GenAI models across millions of transactions, focusing on occasion discovery, transaction classification, and informative prompts to improve personalization and downstream analytics.

The role requires a PhD-level background, 5+ years in ML/AI, strong Python/SQL skills, and hands-on experience with LLMs, Azure Databricks, and MLflow.