Enterprise AI & Automation Data Scientist, Associate

IBM; Toronto; On-site; CAD 90,000 - 130,000; Full time

Benefits offered by this job

Restaurants/Refreshments nearby

Job summary

IBM Consulting is seeking an AI & Automation Data Scientist Associate to join a fast-paced team delivering enterprise AI solutions. You will work across IBM Cloud, Azure, and AWS to develop AI/ML applications, translate business challenges into data-driven outcomes, and contribute to client-facing demonstrations.

The role emphasizes collaboration with Partners, Product Managers, Data Scientists, and Software Engineers, with emphasis on applying GenAI, RAG, and advanced analytics to real-world

Qualifications

• Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, AI, Analytics, or related field.
• Demonstrated interest or experience in ML/AI through projects, internships, research, or publications.
• Proficiency in Python and familiarity with GenAI frameworks.

Responsibilities

• Develop and deploy AI, ML, and automation solutions for enterprise clients.
• Analyze large datasets and derive actionable insights for business decisions.
• Collaborate with cross-functional teams to translate challenges into data-driven solutions.
• Support Generative AI, agentic AI, and analytics applications across cloud platforms.
• Contribute to PoC development, experiments, and production deployments.
• Assist in client presentations, demonstrations, and solution recommendations.
• Continuously expand expertise in data science, ML, cloud tech, and consulting practices.
• French language fluency may be required for roles in Quebec.

Skills

Python

GenAI

LLM concepts

Data analysis

Communication

Independent work

Education

Bachelor's degree

Tools

LangChain

LangGraph

AutoGen

Scikit-learn

Job description

IBM Consulting is seeking an AI & Automation Data Scientist Associate to join a fast-paced team delivering enterprise AI solutions. You will work across IBM Cloud, Azure, and AWS to develop AI/ML applications, translate business challenges into data-driven outcomes, and contribute to client-facing demonstrations.

The role emphasizes collaboration with Partners, Product Managers, Data Scientists, and Software Engineers, with emphasis on applying GenAI, RAG, and advanced analytics to real-world