Calibration Process Data Science Intern (8 months/40 hours per week)

Bosch Group
Farmington Hills, Michigan, United StatesPosted Aug 31, 2026
Data Science / ML

About the role

Company Description At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our areas of activity are every bit as diverse as our outstanding Bosch teams around the world. Their creativity is the key to innovation through connected living, mobility, or industry.

Let’s grow together, enjoy more, and inspire each other. Work #LikeABosch Reinvent yourself: At Bosch, you will evolve. Discover new directions: At Bosch, you will find your place. Balance your life: At Bosch, your job matches your lifestyle. Celebrate success: At Bosch, we celebrate you. Be yourself: At Bosch, we value values. Shape tomorrow: At Bosch, you change lives. Come Join us in Farmington Hills, MI and learn how we work #LikeABosch! If you'd like to learn more about Bosch, click here: Bosch Mobility | Let's shape a new era of mobility. Together. | Careers at Bosch USA Bosch | Invented for Life | Careers at Bosch USA

Job Description

The internship will be from either January - August 2027, or May - December 2027. This internship takes place in Farmington Hills, Michigan, the headquarters of Bosch North America, in the Calibration Engineering group of Power Solutions. The successful candidate will be given an 8 -month project, that has been defined in advance by their Engineering Mentor. As a Data Science Intern at Bosch, you will have the opportunity to work on innovative projects and gain hands-on experience in the field of data science focused on automotive applications. You will be part of a dynamic team, supporting experienced data scientists and engineers to solve real-world automotive powertrain problems using advanced analytics and machine learning techniques. Your responsibilities may include: Data Exploration and Analysis: Collect, clean, and analyze large and complex datasets to identify patterns, trends, and insights. Apply statistical methods and data visualization techniques to communicate findings effectively

Similar internships