Computer Science / Data Science Intern
Celanese has a commitment to building a strong pipeline of talent through our University Intern Program. We are currently recruiting for the 12-week paid internship program for the summer of 2025. Our company has embarked on an accelerated Digitalization journey to develop Manufacturing ‘Plants of the Future’ that is paving the way for transforming the entire Celanese enterprise to a series of autonomous, integrated, yet unique, and optimized digital manufacturing plants. We have the strategy and the vision; we’ve defined the bridges from the past that lead to the future; we can see the future state and defined the use cases. We’ve established focus on FLAWLESS DAY and the SQRE (Stewardship, Quality, Reliability, Engagement) foundation. This journey starts with an opportunity to replicate each actual physical asset of the site as a digital twin with a unified integrated data platform that can be visualized—enabling improved decision making on the right data, at the right time and at the right place—so that Celanese can improve reliability, and operational excellence, and continue to manufacture quality products safely.
Location will be Clear Lake, Texas.
The program is to provide students with hands-on, real-world projects in the summer prior to their senior year. Interns have the opportunity to work towards a full-time opportunity. The program is project based, including group and individual work. Over the summer, interns will also have the opportunity to participate in:
- Networking with peers, former interns, and company leadership
- Executive information sessions to strengthen business knowledge
- Volunteering and community impact events
- Employee Resource Groups
- Manager feedback through midterm and final performance evaluations
Responsibilities
- Use basic engineering skills to provide solutions for assigned projects
- Build solutions, software applications as well as learn about Generative AI and Machine Learning applications in Industry 4.0
- Work with discipline engineers at the site in problem solving issues that arise
- Utilize data mining, PowerBi, GraphQL, SPL, and Python for data manipulation and transformation
- Participate in the personal and process safety improvement process at the site