Columbus, Ohio United States

Spring 2027 Part-Time Internship – Columbus, OH
January 11, 2027 – May 14, 2027

WHAT AWAITS YOU.

• Supports the development and know-how transfer for AI and deep learning in the BMW Group on key projects.
• Supports analysis of business-critical data and recommends improvements. Works with large data sets from both within and external to BMW (e.g. internal data, social media data, warranty data, sales, etc.) and conducts advanced  AI and ML tasks, such data conversions, ETL, filtering, fusion, aggregations, model training, and feature engineering.
• Communicates findings to Enterprise Data Scientist and business decision makers on latest AI/ML technologies and frameworks and assists the team in process matters related to development/support.
• Maintains accurate, meaningful and updated technical and non-technical documentation pertaining to all aspects of area(s) of responsibility and performs tasks as required by the responsible management team in AI.
• Interacts with internal / external customers and key contacts to understand AI use case requirements and communicate technical capabilities.

WHAT WE ARE LOOKING FOR.

• Currently enrolled in a bachelor’s or master’s degree program at an accredited college or university.
• US Work Authorization required.
• Minimum cumulative GPA of 3.0 (overall, not just major).
• Completed at least 60 college credit hours at the time of application.
• Ability to work part-time (25-29 hours/week).
• Must submit an unofficial college transcript with your application.

WHAT YOU SHOULD BRING.

• Field of Study: Business Administration, Finance, Data Analytics, or Information Technology.
• Business fluent English.
• Excellent time-management skills; ability to prioritize and handle multiple tasks simultaneously.
• Ability to manage sensitive and confidential information.
• Excellent organizational and planning skills.
• Self-motivated, adaptable to a dynamic environment.
• Strong analytical and communication skills.
• Proficiency in MS Outlook, Word, Excel, PowerPoint.

Preferences: 

• Strong ability to properly convey and demonstrate data value in decision making processes within management to ensure data driven science solutions to reduce risk and increase value for customer and business objectives.
• Ability to develop from complex data analysis web based solutions for business use in understanding data.
• Strong understanding of data warehousing architectural approaches.
• Any prior skills in developing AI systems including RAG, model training, and agentic utilization.
• Strong fundamentals in computer science (data structures, software systems, etc.)
• Programming skills in languages such as SQL, Python, R, etc.
•  Any prior skills in full stack development and/or AWS/AZURE cloud infrastructure would be a plus.

WHAT YOU CAN LOOK FORWARD TO.

• Paid time off in addition to company paid holidays where eligible.
• Hybrid work environment.
• Access to the Intern Vehicle Lease Program.
   

Relocation assistance is not available for this position. This is a hybrid role that requires in office days. 

Undergraduate students: Hourly rate is $22.00. 
Graduate students: Hourly rate is $28.00.

The selected student's academic level will be used to determine the final pay rate. This statement is in accordance with state and local pay disclosure requirements. 

As part of the hiring process, you may be required to successfully pass a background check. A satisfactory completion of a background investigation including verification of education, prior employment, criminal history, credit check history, and pre-employment drug screen to the extent permissible under applicable state law, is a condition of your offer of employment and your continued employment. The results of your background investigation are satisfactory and acceptable in the sole judgement and discretion of BMW Shared Services, LLC. 

Even more so than the generous compensation and benefits, the culture and values of BMW of North America makes it the ultimate working environment. These values are Responsibility, Appreciation, Transparency, Trust, and Openness. We allow these values to guide the way we conduct ourselves and our business.

BMW in the United States is an equal opportunity employer. It is the policy of BMW Group in the United States to provide equal employment opportunity (EEO) to all qualified persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status.