BMW Group
BMW Financial Services NA, LLC was established in 1993, supporting the sales and marketing of BMW products. Subsequently, we have expanded beyond the leasing, retail and commercial financing of a traditional captive-finance company offering a broad variety of products tailored for the BMW, MINI and Rolls-Royce customer. Be a part of our exciting growth by expressing an interest in our IT Data & AI Science internship position located in Columbus, OH.
This is a part-time internship position for our Fall Rotation, from September 8, 2025 through December 12, 2025 in Columbus, OH.
WHAT AWAITS YOU.
Attend daily/weekly standups.
Work on AI/Data Science and/or Innovation use case.
Showcase progress and successes to business and stakeholders in the areas of AI and Generative AI.
Support with software development activities.
Facilitate organization aspects of data and analytics symposium (Internal analytical community event)
Optimize joint development efforts through appropriate database use and project design.
Assisting data scientists within the department with process and tools to build and monitor AI models.
WHAT YOU SHOULD BRING.
Currently enrolled in a bachelor or master’s degree program at an accredited college or university
Possess a minimum cumulative GPA of 3.0 (not just in major)
Have completed at least 60 college credit hours at time of application
Field of study: Information Technology, Data Science, Computer Science or other related fields
Must attach a copy of college unofficial transcript
Ability to work part-time (20-29 hours/week)
Prior BMW Group experience (applicable to international J1 students only)
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
Able to work both independently and as part of a team
Strong analytical skills
Outstanding written and verbal communication skills
Preferences:
Knowledge of AWS/AZURE cloud, Full Stack Development
Knowledge of Python programming, UNIX, Web Frameworks (HTML, CSS, React.JS, Django, etc.) , UI/UX,
Experience in a business environment
Languages: English (fluent, oral, and written)
Join the BMW North America team and enjoy a high-performance Total Rewards package that may include:
Medical Insurance
Paid Time Off in addition to Company paid holidays where eligible
Hybrid work environment
Intern Vehicle Lease Program
The hourly rate for Undergraduate students is $26.00
The hourly rate for Graduate students is $32.00
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.
Even more so than the generous compensation and benefits, the culture and values of Shared Services make 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.
This is a part-time internship position for our Fall Rotation, from September 8, 2025 through December 12, 2025 in Columbus, OH.
WHAT AWAITS YOU.
Attend daily/weekly standups.
Work on AI/Data Science and/or Innovation use case.
Showcase progress and successes to business and stakeholders in the areas of AI and Generative AI.
Support with software development activities.
Facilitate organization aspects of data and analytics symposium (Internal analytical community event)
Optimize joint development efforts through appropriate database use and project design.
Assisting data scientists within the department with process and tools to build and monitor AI models.
WHAT YOU SHOULD BRING.
Currently enrolled in a bachelor or master’s degree program at an accredited college or university
Possess a minimum cumulative GPA of 3.0 (not just in major)
Have completed at least 60 college credit hours at time of application
Field of study: Information Technology, Data Science, Computer Science or other related fields
Must attach a copy of college unofficial transcript
Ability to work part-time (20-29 hours/week)
Prior BMW Group experience (applicable to international J1 students only)
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
Able to work both independently and as part of a team
Strong analytical skills
Outstanding written and verbal communication skills
Preferences:
Knowledge of AWS/AZURE cloud, Full Stack Development
Knowledge of Python programming, UNIX, Web Frameworks (HTML, CSS, React.JS, Django, etc.) , UI/UX,
Experience in a business environment
Languages: English (fluent, oral, and written)
Join the BMW North America team and enjoy a high-performance Total Rewards package that may include:
Medical Insurance
Paid Time Off in addition to Company paid holidays where eligible
Hybrid work environment
Intern Vehicle Lease Program
The hourly rate for Undergraduate students is $26.00
The hourly rate for Graduate students is $32.00
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.
Even more so than the generous compensation and benefits, the culture and values of Shared Services make 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.