Summary
Forvia is a sustainable mobility technology leader, seeking a year-round Data Science Intern for its headquarters in Auburn Hills, Michigan. The intern will assist in designing machine learning models, support end-to-end ML workflows, and collaborate with various teams to solve practical problems using AI.
Responsibilities
- Assist in designing, building, and testing machine learning models for use cases such as computer vision, predictive maintenance, and anomaly detection
- Support the development of end-to-end ML workflows, including data preprocessing, feature engineering, and model evaluation
- Collaborate with engineering, manufacturing, and business teams to understand data and contribute to solving practical problems using AI
- Help optimize model performance and experiment with different algorithms under guidance from senior team members
- Use Python and common machine learning frameworks (e.g., PyTorch, TensorFlow, or scikit-learn) to develop and test models
- Assist in integrating models into applications and workflows alongside data and software engineers
- Contribute to exploratory AI initiatives, including generative AI use cases
- Document code, experiments, and findings to support reproducibility and knowledge sharing
- Stay current with emerging trends in data science and machine learning
Skills
- Enrolled in a Bachelor's or Master's degree program
- Graduation of 2027 or later
- Minimum 2.8 GPA
- Data analysis and excel skills are a plus
- Majors in computer science, data analysis, or related field
Qualifications
Must Haves
- Enrolled in a Bachelor's or Master's degree program
- Graduation of 2027 or later
- Minimum 2.8 GPA
Nice to Haves
- Data analysis and excel skills are a plus
- Majors in computer science, data analysis, or related field
Benefits
- We cultivate a learning environment, dedicating tools and resources to ensure we remain at the forefront of mobility. Our people enjoy an average of more than 22 hours of online and in-person training within FORVIA University (five campuses around the world)
- We offer a multicultural environment that values diversity and international collaboration.
- We believe that diversity is a strength. To create an inclusive culture where all forms of diversity create real value for the company, we have adopted gender diversity targets and inclusion action plans.