Bosch
Calibration Process Data Science Intern (8 months/40 hours per week)
Farmington Hills, MI, United States · Internship · Posted Aug 31, 2026
- Experience
- At least 1 year of academic or industry experience with software languages and operating systems; Artificial Intelligence and Machine Learning algorithm experience may be academic or industry.
- Education
- Currently pursuing a Bachelor’s or Master’s degree in Engineering at an accredited university, with at least one semester completed.
- Visa sponsorship
- Indefinite U.S. work authorization required; future sponsorship for work authorization unavailable.
About the job
Supports automotive powertrain data science projects by analyzing datasets, developing machine-learning models, and communicating data-driven findings and recommendations.
What you'll do
- Collect, clean, analyze, and visualize complex datasets to identify patterns and insights.
- Develop, evaluate, and apply machine-learning and predictive models to address business challenges.
- Collaborate with cross-functional teams and document and present methodologies, results, and recommendations.
What they ask for
- Currently enrolled in an accredited university pursuing a Bachelor’s or Master’s degree in Engineering, with at least one semester completed.
- Very good Python skills.
- Experience with Artificial Intelligence and Machine Learning algorithms (work or academic).
- At least 1 year of academic or industry experience with software languages and operating systems; minimum 3.0 GPA; minimum age 18; able to work 35–40 hours per week.
Nice to have
- Automotive-related hobby or experience working with engines or vehicles; projects in the automotive field.
- Other programming languages.
Tools
Python
AI focus
Develop and apply machine-learning models and algorithms for automotive data analysis, prediction, optimization, and pattern recognition.
Model-written summary · the original posting is authoritative