Cost & Asset Optimization - Data Science Analyst Intern - Austin, TX - 2027

Are you excited to learn about IBM's Infrastructure product portfolio and optimize process along side cross-functional teams? If so, this is a great opportunity to leverage data science, agile practices and design thinking to understand IBM brands and learn how to optimize cash flow through Global Asset Recovery within our Cost & Asset Optimization team. Your role and responsibilities Collaborate with cross-functional teams (product management, supply chain, procurement, development, engineering and finance). Analyze competitors, market trends and industry standards. Optimize and improve process through use of automation and AI tools. Required education High School Diploma/GED Preferred education Bachelor's Degree Required technical and professional expertise Bachelor's Degree in Data Science/IT/Computer Science/Engineering Exposure to agile practices and design thinking, Strong written and verbal communication skills Problem solving and business analysis skills, ability to work three days from the office Preferred technical and professional experience Exposure to Cloud & Technology, Technical expertise Ability to communicate with stakeholders Exposure to process optimization leveraging AI tools ABOUT BUSINESS UNIT IBM Systems helps IT leaders think differently about their infrastructure. IBM servers and storage are no longer inanimate - they can understand, reason, and learn so our clients can innovate while avoiding IT issues. Our systems power the world’s most important industries and our clients are the architects of the future.Join us to help build our leading-edge technology portfoliodesigned for cognitive business and optimized for cloud computing. YOUR LIFE @ IBM In a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better. Being an IBMer means you’ll be able to learn and develop yourself and your career, you’ll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background. Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other 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 have to make critical decisions everyday 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. Are you ready to be an IBMer? ABOUT IBM IBM’s greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world. Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we’re also one of the biggest technology and consulting employers, with many of the Fortune 5th companies relying on the IBM Cloud to run their business. At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it’s time for you to join us on our journey to being a responsible technology innovator and a force for good in the world. IBM 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, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by the applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status. OTHER RELEVANT JOB DETAILS Supplemental 1 employees may be eligible for up to 8 paid holidays, minimum of 56 hours paid sick time and the IBM Employee Stock Purchase Plan. IBM offers paid family medical leave and disability benefits to eligible employees where required by applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 15 days from this date or less if not needed to fill the role. We consider qualified applicants with criminal histories, consistent with applicable law. IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship. The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year. Job Title Cost & Asset Optimization - Data Science Analyst Intern 2027 Date posted 27-Aug-2026 Job ID 130112 City / Township / Village Austin State / Province Texas Country United States Work arrangement Hybrid Area of work Data & Analytics Employment type Co-Op (Fixed Term) Contract type Internship Projected Minimum Salary per year 66,600.00 Projected Maximum Salary per year 122,100.00 Position type Internship No Travel Company (0147) International Business Machines Corporation Shift General (daytime) Is this role a commissionable/sales incentive based position? #J-18808-Ljbffr IBM