A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You’ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you’ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You’ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.
The successful candidate will join a dynamic consulting team, composed of Partners, Product Managers, Data Analyst, Data Engineers, Architects and Software Engineers to conceptualize and develop solutions to bring value to clients. As a team, we pride ourselves on tackling some of the most difficult challenges our clients face by bringing together subject matter expertise, and technical execution.
As an intern, you’ll have the unique opportunity to learn and use industry leading technologies on a cloud platforms (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.
This position resides in Toronto and is a 4-month work term commencing in September 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. Please note that MBA and PHD Candidates are not eligible for this program.
- Has experience with financial services, which includes but not limited too: large banks, credit unions, FinTech, insurance, wealth management/advisory management, investment management or capital markets.
- Demonstrated familiarity or interest in machine learning, statistical analysis, Banking processes or data mining through previous internships, personal/ academic projects, hackathons, and/or publications.
- 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 full-time for 4 months starting in September 2026.
- Exposure to project management, business analysis, and/or process optimization.
- Experience using machine-learning libraries in python (scikit-learn, SciPy, pandas,TensorFlow).
- General familiarity with databases and data platforms (data bricks, snowflake, etc,.) data-engineering tools (SQL, Spark).
- Familiarity with cloud platforms (e.g. IBM, Cloud, Azure, AWS).