AI & Automation Data Scientist Intern (Jan 2026 - 4 month - Toronto or Calgary)

Leadingtalent; Calgary; On-site; CAD 20,000 - 33,000; Full time

Job summary

IBM Consulting is seeking an Intern Data Scientist in Canada to collaborate with partners, product managers, data scientists, and engineers to conceptualize, develop, and deploy machine learning solutions for enterprise-scale problems. You will explore data, build models, and contribute to projects on IBM Cloud or Azure.

The role emphasizes clear communication, independence, and teamwork. Enrollment must be full-time in a post-secondary institution with return to studies after the term; the

Qualifications

• Must have familiarity with machine learning, statistics, or data mining through internships, projects, or hackathons.
• Proficiency with scripting languages (Python preferred) or solid CS foundation.
• Hands-on exposure to GenAI/Agentic AI frameworks and LLM concepts (prompt engineering, RAG).
• Ability to communicate ideas clearly and work independently in cross-functional teams.
• Eligible to work full-time for 4 months starting January 2026.

Responsibilities

• Collaborate with partners, product managers, data scientists, and engineers to design ML solutions for enterprise-scale problems.
• Develop, deploy, and validate models on IBM Cloud or Azure.
• Explore data, tell stories with insights, and contribute to innovative client and internal initiatives.

Skills

Machine learning basics

Python

Data analysis

Communication

Education

High School Diploma or GED

Bachelor’s Degree

Tools

SQL

Spark

TensorFlow

GenAI frameworks

Job description

Introduction

IBM Consulting delivers business and technology transformation services worldwide, leveraging IBM’s portfolio and strategic partner ecosystem to drive hybrid cloud and AI initiatives for leading companies.

Your role and responsibilities

As an Intern Data Scientist, you will collaborate with partners, product managers, data scientists, architects, and software engineers to conceptualize, develop, and deploy machine learning solutions that address enterprise‑scale problems.

You will support project work on IBM Cloud or Azure, engage in data exploration and storytelling, and contribute to innovative initiatives that deliver value to external clients and internal stakeholders.

Requirements

• Applicants must reside in Toronto or Montreal.
• Internship term: 4 months, commencing January 2026.
• Full‑time enrollment in a post‑secondary institution; requires return to studies after the term.
• Fluency in French required for Quebec positions.
• Must be eligible to work in Canada without sponsorship.

Required education

• High School Diploma or GED.

Preferred education

• Bachelor’s Degree.

Required technical and professional expertise

• Demonstrated familiarity or interest in machine learning, statistical analysis, or data mining through internships, projects, hackathons, or publications.
• Experience with scripting languages (Python preferred) or a solid computer science foundation.
• Hands‑on experience with GenAI/Agentic AI frameworks such as langchain, semantic kernel, LangGraph, AutoGen, and LLM concepts (prompt‑engineering, RAG).
• Ability to communicate ideas clearly to peers and managers, work independently and within cross‑functional teams.
• Eligible to work full‑time for 4 months starting January 2026.

Preferred technical and professional experience

• Minimum one work term in a data science or machine learning role.
• Experience with Python machine‑learning libraries (scikit‑learn, SciPy, pandas, TensorFlow).
• General familiarity with databases and data‑engineering tools (SQL, Spark).
• Familiarity with cloud platforms (IBM Cloud, Azure, AWS).

Other relevant job details

• This role involves technology covered by export regulation sanctions. Foreign nationals from Cuba, Iran, North Korea, Syria, or specified Ukrainian regions with a work permit are not eligible.

Equal‑Opportunity Employer

IBM is proud to be an equal‑opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.