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Auburn Hills, MI

Internship

Hybrid

Intern

BorgWarner is a global product leader in delivering innovative and sustainable mobility solutions for the vehicle market. They are seeking a highly motivated Data Science Intern to support the development and deployment of AI/ML solutions for proof-of-concept projects that can inform the development of future BorgWarner products.

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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

Qualification

Required

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
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

Preferred

Enrolment in a graduate program (Master's or Ph.D.) in a relevant field is a plus
Proficiency in programming languages such as Python (preferred) or MATLAB