AI Automation Data Scientist Intern (May 2026 - 4 month - Toronto, Ottawa or Montreal)
IBM Canada Ltd.Resume Keywords to Include
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Job Description
Our team is looking for candidates with exceptional technical aptitude, a passion for applied data science, and an interest in telling stories through data to solve real world business problems.
The successful candidate will join a fast-paced consulting team, composed of Partners, Product Managers, Data Scientists, Architects and Software Engineers to conceptualize, develop and deploy machine learning solutions to solve enterprise-scale problems. As a team, we pride ourselves on tackling some of the most difficult challenges our clients face by bringing together subject matter expertise, data science, and technical execution.
As an intern Data Scientist, you’ll have the unique opportunity to learn and use industry leading data science technologies on a cloud platform (e.g. IBM Cloud, Azure) by working on innovative projects that generate value for external client engagements or internal initiatives.
IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers must make critical decisions every day is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do.
Requirements
This position is open to applicants who reside in Toronto, Ottawa or Montreal and is open to applicants seeking 4-month internship work terms, commencing in May 2026. It is mandatory that all applicants are enrolled in full-time studies at a post-secondary institution and returning to full-time studies upon completion of the work term.
We are hiring in major cities across Canada.
- Candidates considered for a Quebec position must be fluent in French
Required education
High School Diploma/GED
Required technical and professional expertise
- Demonstrated familiarity or interest in machine learning, statistical analysis, or data mining through previous internships, personal/ academic projects, hackathons, and/or publications.
- Experience with one or more scripting languages (Python preferred), or a proven computer science foundation
- Hands-on experience with GenAI/Agentic AI Famework (eg. langchain, semantic kernel, LangGraph, AutoGen, etc.) and LLM concepts (prompt-engineering, RAG, etc.)
- Able to confidently communicate ideas to an audience of peers/managers, comfortable and effective in working independently and as a member of a cross-functional team.
- Must be eligible to work fulltime for 4 months starting in May 2026.
Preferred technical and professional experience
- Minimum one work term in a data science or machine learning related role.
- Experience using machine-learning/data science libraries in python (scikit-learn, SciPy, pandas, TensorFlow).
- General familiarity with databases and data-engineering tools (SQL, Spark).
- Familiarity with cloud platforms (e.g. IBM, Cloud, Azure, AWS).
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