Enterprise AI & Automation Data Scientist

IBM; Montreal (administrative region); On-site; CAD 90,000 - 130,000; Full time

Job summary

IBM Consulting in Canada is seeking an AI & Automation Data Scientist Associate to design, develop, and deploy AI, machine learning, and automation solutions for large enterprise clients. You will work with teams across data science, software engineering, and consulting to turn business challenges into data-driven, scalable outcomes.

The role emphasizes GenAI, agentic AI, and cloud platforms like IBM Cloud, Azure, and AWS.

Qualifications

• Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, AI, Analytics, or related field.
• Demonstrated familiarity or interest in ML, AI, data mining, or predictive modeling via projects or research.
• Experience with Python or similar programming languages.
• Hands-on with GenAI frameworks and LLM concepts (prompting, RAG, agentic workflows).
• Strong analytical, problem-solving and communication skills.
• Eligible to work full-time in Canada.

Responsibilities

• Develop AI, ML, and automation solutions for enterprise clients.
• Analyze large datasets to extract actionable insights for decisions.
• Collaborate with cross-functional teams to translate business challenges into data-driven solutions.
• Support Generative AI, agentic AI, and analytics applications.

Skills

Python

Data science

Machine learning

GenAI

LLM concepts

Communication

Team collaboration

Cloud platforms

Problem solving

Education

Bachelor's in Computer Science

Tools

LangChain

LangGraph

AutoGen

Microsoft Agent Framework

Pandas

Scikit-learn

TensorFlow

PyTorch

SQL

Kafka

Job description

IBM Consulting in Canada is seeking an AI & Automation Data Scientist Associate to design, develop, and deploy AI, machine learning, and automation solutions for large enterprise clients. You will work with teams across data science, software engineering, and consulting to turn business challenges into data-driven, scalable outcomes.

The role emphasizes GenAI, agentic AI, and cloud platforms like IBM Cloud, Azure, and AWS.