Data Science Intern (Year-Round)

BorgWarner • Auburn Hills, MI

2d • Hybrid

About The Position

As part of the Chief Technology Officer organization, the Corporate Advanced Technology Development team is dedicated to developing and demonstrating advanced mobility technologies, focusing on new growth areas with longer time horizons. We develop system-oriented solutions that shape the future of mobility through collaborations with other functional areas and business units at BorgWarner. We are seeking a highly motivated Data Science Intern to join our team. In this role, you will support the development and deployment of AI/ML solutions for proof-of-concept projects that can inform the development of future BorgWarner products. This is a hybrid role based at BorgWarner’s Propulsion Technology Center (PTC) in Auburn Hills, MI that provides an opportunity to work with cutting-edge technologies and play a key role in shaping the future of sustainable mobility. If you are highly motivated, a self-starter, and passionate about innovation, we encourage you to apply.

Requirements

• Currently pursuing a Bachelor's degree in Data Science, Computer Science, Engineering, Statistics, Mathematics, or a related field.
• Must be able to report onsite three days a week.
• Demonstrated coursework or projects involving data analysis, machine learning, and statistical modelling.
• Proficiency in programming languages such as Python (preferred) or MATLAB.
• Familiarity with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Experience with data science tools and platforms (e.g., Jupyter Notebooks).
• Strong verbal and written communication skills, including the ability to effectively present findings and insights to non-technical stakeholders.
• Eagerness to learn and adapt to new tools, technologies, and methodologies in the rapidly evolving field of data science.

Nice To Haves

• Enrolment in a graduate program (Master's or Ph.D.) in a relevant field is a plus.

Responsibilities

• Collaborate closely with engineering teams to understand challenges and requirements and provide data-driven solutions.
• Support machine learning model development: data preparation, feature engineering, model optimization and data visualization.
• Assist in model deployment, testing, and analysis of resulting performance data.
• Prepare comprehensive model documentation and share findings within the organization.
• Assist in data collection using fleet vehicles.
• This position requires Interns to be on-site 3 days a week in Auburn Hills, MI.

What This Job Offers

• Career Level: Intern