About the role#
This co-op position offers the chance to work on client projects while receiving mentorship from professionals in science, engineering, and consulting. You will gain hands-on experience in data science and AI, contributing to analytical projects that impact real-world business challenges. This role is designed to help you build a professional portfolio and develop technical skills in an environment that prioritizes coaching and growth.
What you'll do#
- Implement generative AI models and algorithms for applications like conversational computing and natural language processing.
- Work with large datasets to train, evaluate, and optimize generative models.
- Write programs to cleanse, integrate, and model data.
- Build data pipelines to extract and transform data from repositories to consumers.
- Evaluate model results to provide data-driven insights.
- Assist in presenting analytical findings to both technical and non-technical audiences.
What you'll need#
- Currently pursuing a degree in Computer Science, Statistics, Mathematics, Engineering, IST, or a related field, with an expected graduation date of May 2026 or later.
- Familiarity with at least one scripting language, preferably Python, or a solid computer science foundation.
- Interest in statistical analysis, data mining, databases, and data-engineering tools like SQL or Spark.
- Experience managing tasks in an agile environment.
- Strong interpersonal skills and a readiness to take ownership of projects.
- Ability to obtain and maintain a Federal clearance if required.
- Familiarity with machine learning libraries in Python or experience with NLP, LLMs, and GenAI is a plus.
Location & details#
- This is an on-site role based in University Park, Pennsylvania.
- You must be able to work on-site during the academic year.
- Work hours are up to 20 hours per week during the semester and up to 40 hours per week during academic breaks.
- This position is paid and is offered on a rolling basis.
About IBM
IBM provides IT services and consulting to a global client base. The company develops technology solutions across areas such as cloud computing, security, analytics, and infrastructure. It operates as a public organization with more than 10,001 employees. The corporate headquarters are located in Armonk, New York.
How to get in at IBM
Applying early at IBM gives you a measurable advantage because recruiters review applications as they arrive. Intern Insider sends an instant alert the moment a role matching your target is published, so you can submit your materials before the pile grows. Being among the first candidates seen helps you stand out in a large applicant pool. You can also improve your response rates by reaching out to the recruiters behind the roles directly. Intern Insider surfaces the specific contacts for IBM positions so you can ask about the role or a referral. This direct approach often works better than sending your resume into a queue.
