Intern Incubators

freudenberg; Plymouth (MI); On-site; USD 28,000 - 41,000; Full time

Job summary

Freudenberg, a leading engineering group, seeks a student-minded software/data engineer to support product validation and manufacturing analytics. You will build data pipelines, implement analytics, and develop automation tools aligned with cross-continental engineering teams.

Ideal candidates are pursuing a Bachelor’s or Master’s degree in a technical field, with Python, Power BI, and Excel expertise, and strong analytical problem-solving abilities.

Qualifications

• Pursuing a Bachelor's or Master's degree in a technical field related to software or engineering.
• Strong Python programming skills with ability to develop, troubleshoot and optimize solutions.
• Experience using Power BI (DAX/Power Query) and Excel to analyze and visualize data.
• Knowledge of statistics concepts and applying data to engineering problems.
• Familiarity with C, SQL, Git or other development tools.

Responsibilities

• Develop software solutions and automation tools to improve engineering workflows.
• Design and implement data pipelines to collect, transform, and analyze large datasets.
• Create dashboards and reporting tools using Power BI to support validation and decision-making.
• Program and integrate laboratory and test equipment to automate data collection and testing.
• Apply statistical analysis to identify trends and support engineering recommendations.
• Collaborate with engineers across NA and Europe on product development and improvement initiatives.
• Contribute to Python- and C-based applications while documenting processes and supporting manufacturing operations.

Skills

Python

Power BI

Excel

Statistics

C

SQL

Git

Education

Bachelors or Masters in CS, Data Science, Statistics, Applied Math, Computer/Mechanical Engineering

Tools

Power BI

Git

SQL

Job description

Working at Freudenberg: We will wow your world!

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.

Qualifications:

• 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.

The Freudenberg Group is an equal opportunity employer that is committed to diversity and inclusion. Employment opportunities are available to all applicants and associates without regard to race, color, religion, creed, gender (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity or expression, national origin, ancestry, age, mental or physical disability, genetic information, marital status, familial status, sexual orientation, protected military or veteran status, or any other characteristic protected by applicable law.

Freudenberg-NOK General Partnership