Data Science Intern: Calibration & ML for Automotive

Bosch USA; Farmington Hills (MI); On-site; USD 28,000 - 41,000; Full time

Benefits offered by this job

Engineering mentor guidance

8‑month project

On-site at Bosch HQ

Job summary

Bosch USA in Farmington Hills, MI invites students to join an 8-month internship in Calibration Engineering within Power Solutions. You will work under an Engineering Mentor on a defined project, focusing on data science, ML, and predictive modeling to support business challenges.

The program requires strong Python skills, AI/ML experience, and 3.0+ GPA, with 35–40 hours weekly commitment and candidate currently pursuing an engineering degree.

Qualifications

• Must be enrolled in an accredited university pursuing engineering degree with at least one semester completed.
• Very good Python skills.
• Experience with AI/ML algorithms (work or academic).
• 1+ year academic or industry experience with software languages and operating systems.
• Minimum GPA 3.0.
• Must be 18+ years old.
• Must commit to 35-40 hours per week.

Responsibilities

• Data exploration and analysis: collect, clean, and analyze large datasets to identify patterns and insights.
• Machine learning development: build models, preprocess data, train and evaluate algorithms.
• Predictive modeling and optimization to forecast outcomes and improve processes.
• Data mining and pattern recognition to uncover actionable insights.
• Collaborate with cross-functional teams to deliver data driven solutions.
• Document methodologies, algorithms, and results; prepare reports and presentations.
• Stay updated with advances in data science and ML; participate in training.

Skills

Python

AI/ML experience

Data analysis

Software and OS familiarity

Education

Engineering degree candidate (Bachelors or Masters)

Tools

Other programming languages

Job description

Bosch USA in Farmington Hills, MI invites students to join an 8-month internship in Calibration Engineering within Power Solutions. You will work under an Engineering Mentor on a defined project, focusing on data science, ML, and predictive modeling to support business challenges.

The program requires strong Python skills, AI/ML experience, and 3.0+ GPA, with 35–40 hours weekly commitment and candidate currently pursuing an engineering degree.