Role overview
About this role
We're looking for a motivated college student to join IBM's Chief Sustainability Office (CSO) as a Sustainability & Business Transformation intern. This internship provides a unique opportunity to work at the intersection of sustainability, data, AI, and business operations, helping IBM explore how sustainability initiatives create measurable business value and drive enterprise transformation. The successful candidate will gain exposure to how sustainability is integrated across a global technology company, supporting initiatives that advance environmental objectives while improving efficiency, resilience, innovation, and business performance. This role offers opportunities to collaborate with professionals across sustainability, technology, finance, operations, supply chain, product development, and business strategy teams. As a CSO Intern, you will: Support projects that help quantify and communicate the business value of sustainability initiatives. Analyze sustainability, operational, or business data to identify trends, opportunities, and insights. Explore how AI, automation, and advanced analytics can accelerate sustainability outcomes and business performance. Conduct research on emerging sustainability trends, technologies, regulations, and market developments. Assist with the development of presentations, analyses, dashboards, reports, and recommendations for internal stakeholders. Collaborate with cross-functional teams to evaluate opportunities that improve efficiency, reduce environmental impacts, and create business value. Support projects that integrate sustainability considerations into business processes, decision-making, and enterprise strategy. Currently enrolled in a Bachelor's program in Business, Sustainability, Environmental Science, Engineering, Data Analytics, Economics, Computer Science, Finance, or a related field. Strong analytical, problem-solving, and critical thinking skills. Interest in the intersection of sustainability, technology, business strategy, and innovation. Curiosity about AI, data analytics, and emerging technologies. Ability to synthesize information, develop insights, and communicate findings effectively. Strong written, verbal, and presentation skills. Experience with data analysis, visualization, AI tools, or research methods is a plus, but not required. Self-motivated, adaptable, and eager to learn in a fast-paced, collaborative environment. No preferred qualifications specified