Introduction A career in IBM Consulting is rooted by long term relationships and close collaboration with clients across the globe. You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio, including Software and Red Hat. Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in groundbreaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience. About Business Unit: IBM Consulting is IBM’s consulting and global professional services business, with market leading capabilities in business and technology transformation. With deep expertise in many industries, we offer strategy, experience, technology, and operations services to many of the most innovative and valuable companies in the world. Our people are focused on accelerating our clients’ businesses through the power of collaboration. We believe in the power of technology responsibly used to help people, partners and the planet. Your role and responsibilities 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. This position resides in Toronto/Calgary/Montreal/Ottawa 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. 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 Frameworks (eg. Microsoft Agent Framework, 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. 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, PyTorch) General familiarity with databases and data‑engineering tools (SQL, Spark) Familiarity with cloud platforms (e.g. IBM, Cloud, Azure, AWS). IBM is committed to creating a diverse environment and 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, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status. #J-18808-Ljbffr