Intern Incubators

Freudenberg • Plymouth, MI

1d

About The Position

We will wow your world! This internship focuses on developing software solutions and automation tools to improve engineering workflows and accelerate product development. You will design and implement data pipelines, create visualizations and reporting tools, program and integrate laboratory equipment, and apply statistical analysis techniques. This role involves partnering with engineers globally, contributing to Python- and C-based applications, and supporting manufacturing operations.

Requirements

• Current pursuit of a Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Applied Mathematics, Computer Engineering, Mechanical Engineering, or a related technical field.
• Strong programming skills in Python with the ability to develop, troubleshoot, and optimize software solutions.
• Experience using Power BI (including DAX and Power Query) and Microsoft Excel to analyze, visualize, and manage data.
• Knowledge of statistical analysis concepts and an interest in using data to solve real-world engineering problems.
• Familiarity with C programming, SQL databases, Git, or other software development tools and technologies.
• Strong analytical thinking, problem-solving ability, and attention to detail when working with complex datasets.
• Excellent communication and collaboration skills with a desire to learn in a fast-paced, global engineering environment.

Responsibilities

• Develop software solutions and automation tools that improve engineering workflows and accelerate product development activities.
• Design and implement data pipelines that collect, transform, and analyze large engineering datasets to generate meaningful insights.
• Create dashboards, visualizations, and reporting tools using Power BI and other technologies to support product validation and decision-making.
• Program and integrate laboratory and test equipment while helping automate data collection and testing processes.
• Apply statistical analysis techniques to identify trends, solve technical challenges, and support engineering recommendations.
• Partner with engineers across North America and Europe to advance new product development programs and continuous improvement initiatives.
• Contribute to Python- and C-based applications while documenting processes, validating solutions, and supporting manufacturing operations.

What This Job Offers

• Career Level: Intern