• Introduction
• Launch your career like an IBMerEvery IBMer has a story.

For many, it started with an internship.

As an IBM intern, you won't just gain experience - you'll start thinking, working, and growing like an IBMer. From day one, you'll contribute to real client projects across diverse industries, working alongside experienced IBMers who are invested in your success. You'll be challenged, supported, and inspired, often all in the same day. You'll develop technical expertise and consulting skills in a culture built on continuous learning, mentorship, and coaching. High-performing interns have a clear pathway into IBM's Associate Program, launching careers at one of the world's most innovative technology and consulting companies.

To give yourself the best opportunity for success, we advise applying only to roles that align with your skills and experience, rather than applying broadly across all entry-level positions. You'll receive a status update email for each application, so be sure to check your IBM Careers account regularly — it's the best way to get a centralized view of which roles you have active applications against.

• Your role and responsibilities
• During your internship, you can enhance your knowledge and gain professional experience by working on client projects.

This role provides an exceptional opportunity to build a compelling portfolio, acquire new skills, gain insights into diverse industries, and embrace novel challenges for your future career. At IBM, we prioritize continuous learning, skill development, and personal growth within a culture of coaching and mentorship. As an intern, you'll experience this culture and could advance to our full-time Associates program based on results and performance. Work experiences you could be exposed to: 

Market Dynamics:

Immersing yourself in primary research and collaborate with dynamic teams assisting clients in navigating market trends and refining competitive strategies. 

Operational Excellence:

Support operational improvement by designing models for a seamless client experience, contributing to heightened efficiency and effectiveness in operational processes. 

Stakeholder Engagement:

Support workshops, meetings, and interviews to understand and document requirements collaborating with diverse teams to capture and synthesizing essential information.

Project Exposure:

Gain hands on experience shadowing product teams and enterprise-wide data integrations. Contribute to data analytics assessments and actively participate in cloud migration and system implementations across major platforms. The primary internship program dates are May to July 2027 (10 weeks).

• Required technical and professional expertise
• Currently pursuing a university degree with a track-record of academic success (Preferred majors: Computer Science, MIS/IT, Computer Engineering, Data Science, SW Engineering, Business or related fields).
• Strong interpersonal skills that enhance collaboration and relationship building, while also managing dynamic workloads in an agile environment. 
• Demonstrate leadership experience and ability to communicate effectively through active listening; while also be willing to adapt and have a readiness to take ownership of tasks and challenges. 
• Interest in one or more of the following types of consulting: strategy, application, business transformation, or experience.
• Willingness to travel as needed.
• Preferred technical and professional experience
• Can understand clients' needs and challenges, applying a creative and logical approach to identify solutions. 
• Demonstrate foundational quantitative analysis skills and ability to develop data driven recommendations. 
• Exposure to one of the following programming technologies (e.g., JavaScript, HTML, XML, SQL) is a plus. 
• Exposure to Cloud native projects (academic, personal, or internship count); Agile ways of working (ambiguous requirements, evolving scope); Programming (read, debug, and explain code). 
• Exposure to cloud and AI concepts such as Azure services, data platforms, security, and AI models through coursework, labs, internships, or personal projects, with a willingness to keep learning.

 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.