**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 AI, Data and Hybrid cloud 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. **Your role and responsibilities** As an IBMer you will collaborate with a team of industry focused technologist who lead in technology advisory to drive exceptional outcomes for our clients and ensure IBM continues to be a catalyst for change and innovation. As an IBMer, you will be expected to embrace complex challenges across different clients and sectors with a can-do attitude, embrace diverse perspectives, propose new ideas - striving for an outcome focused approach within everything that you do. At IBM, we prioritize ongoing learning, development of technical and core skills, developing consulting and advisory skills, and investing in your personal growth. We ground this in a culture of coaching and mentorship. Our team is looking for candidates with exceptional technical aptitude, a passion for solving business problems using applied data analytics or data scienece, technology and/or AI and an interest in telling stories through data to solve real world business problems. The successful candidate will join a dynamic consulting team, composed of Partners, Product Managers, Data Scientists, 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, 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 and is a 4 months work term 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. Please note that MBA and PHD Candidates are not eligible for this program. **Required technical and professional expertise** * 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, 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 fulltime for 4 months starting in May 2026. * Exposure to project management, business analysis, and/or process optimization. **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). 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.