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Description

Boehringer Ingelheim is currently seeking talented and innovative Co-Op candidates to join our IT RGS Delivery Excellence department, working out of our Duluth, GA campus. As a member of the IT RGS Delivery Excellence team, you will be responsible for collecting, evaluating and implementing IT- and data-centric improvement ideas for the USAH Commercial Operation. Co-Op candidates will work with a global team of colleagues to deliver innovative solutions in the areas of Data Science, Software Engineering, APIs, IoT and/or other state-of-the-art technologies in order to support our company’s production operations and our business partners’ decision-making processes.

As an employee of Boehringer Ingelheim, you will actively contribute to the discovery, development, and delivery of our products to our patients and customers. Our global presence provides opportunity for all employees to collaborate internationally, offering visibility and opportunity to directly contribute to the companies' success. We realize that our strength and competitive advantage lie with our people. We support our employees in several ways to foster a healthy working environment, meaningful work, mobility, networking, and work-life balance. Our competitive compensation and benefit programs reflect Boehringer Ingelheim's high regard for our employees.

Before applying please ensure you can commit to the following:

-Expect to be on-site for at least 3 days per week and must be located in the local area for the Co-op.

-Potential Start Dates are set for this Co-op: January 5, 20 th or February 2, 2026.

-Co-op Students will work for at least 4 months after the start date. We may extend you up to 6 months in total depending on business needs. These are Full time positions only.

Duties & Responsibilities

+ Collaborate with business partners to collect ideas for application/process improvements.

+ Propose IT-centered enhancements, technology use-cases, and/or solutions.

+ Work with local IT team to develop a pilot project to implement an improvement project. This pilot will seek to utilize a state-of-the-art technology, framework, tool or technique, in a way that provides value. Technologies may include: AI\Machine Learning\Data Science, Python, Apollo/ Apollo Studio, Power Apps/ Power Automate / Power BI, APIs, Database\SQL, RPA

+ Execute the pilot project using Agile methodologies and framework.

+ Upon execution of the pilot project(s), document the solution design, and transfer the necessary knowledge and lessons learned to local IT team.

+ Support business partners with technology-related needs.

Requirements

+ Must be an Undergraduate, Graduate, or Professional Student in good academic standing.

+ Must have completed 12 credit hours within a related major and/or other related coursework.

+ Overall, cumulative GPA (from last completed quarter) must be at least 3.000 (on 4.0 scale) or better (No rounding up).

+ Major must be related to the field of internship.

**Eligibility Requirements** :

+ Must be legally authorized to work in the United States without restriction.

+ Must be willing to take a drug test and post-offer physical (if required).

+ Must be 18 years of age or older.

Desired Skills, Experience and Abilities

+ Experience with cloud-based systems preferred

+ Experience with Artificial Intelligence or Data Science preferred

+ Self-driven, independent and curious with good communication skills

+ Ability to relate technology-related inforomation to non-technical audience

+ Ability to prioritize, and work with colleagues around the world

All qualified applicants will receive consideration for employment without regard to a person’s actual or perceived race, including natural hairstyles, hair texture and protective hairstyles; color; creed; religion; national origin; age; ancestry; citizenship status, marital status; gender, gender identity or expression; sexual orientation, mental, physical or intellectual disability, veteran status; pregnancy, childbirth or related medical condition; genetic information (including the refusal to submit to genetic testing) or any other class or characteristic protected by applicable law.