Data Scientist - Intern Conversion 2026-2027

At IBM Infrastructure & Technology, we design and operate the systems that keep the world running. From high-resiliency mainframes and hybrid cloud platforms to networking, automation, and site reliability. Our teams ensure the performance, security, and scalability that clients and industries depend on every day. Working in Infrastructure & Technology means tackling complex challenges with curiosity and collaboration. You’ll work with diverse technologies and colleagues worldwide to deliver resilient, future-ready solutions that power innovation. With continuous learning, career growth, and a supportive culture, IBM provides the opportunities to build expertise and shape the infrastructure that drives progress.

As a Data Scientist: Generalist, you will convert business problems into analytics solutions using your consulting skills and business knowledge. You will analyze client business issues, formulate hypotheses, and test conclusions to determine appropriate solutions methods.

Your primary responsibilities will include:

• Analyze Business Problems: Analyze client business issues, identify areas for improvement, and develop hypotheses to test and validate conclusions. This involves applying statistical techniques, modeling, and operations research to drive business insights.

• Develop Analytics Solutions: Design and deploy analytics solutions that realize business value, exploring and examining data from multiple disparate sources to discover hidden insights and provide a competitive advantage.

• Communicate Findings: Effectively communicate informed conclusions and recommendations to both business and IT leaders, influencing how the organization approaches business challenges.

• Build Statistical Models: Develop and apply statistical models to extract insights from data, determining what it means and recommending ways to apply the data to drive business outcomes.

• Explore and Examine Data: Extract, transform, and combine data from various sources to identify trends, patterns, and correlations that inform business decisions.

• Statistics and Modeling Foundation: Exposure to statistics, modeling, operations research, computer science, and math to analyze business issues and develop analytics solutions.

• Data Analysis and Interpretation: Experience working with data from multiple disparate sources to extract, transform, and combine data, discovering hidden insights and informing business decisions.

• Business Acumen and Communication: Exposure to communicating findings and recommendations to both business and IT leaders, influencing how an organization approaches business challenges.

• Analytics Solution Development: Experience with designing and deploying analytics solutions that realize business value, applying statistical techniques and modeling to drive business insights.

• Data-Driven Problem Solving: Exposure to analyzing business problems, identifying areas for improvement, and developing hypotheses to test and validate conclusions.

• Computer Science Knowledge: Exposure to computer science concepts and applications to analyze business issues and develop analytics solutions.

• Math Foundation: Experience working with mathematical techniques to drive business insights and inform decision-making.

• Operations Research Understanding: Exposure to operations research principles to optimize business processes and solve complex problems.