BorgWarner is an automotive supplier of mobility solutions for the vehicle market, dedicated to developing advanced mobility technologies. The Data Science Intern will support the development and deployment of AI/ML solutions for proof-of-concept projects that can inform the development of future BorgWarner products.
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.
Qualification
Required
Currently pursuing a Bachelor's degree in Data Science, Computer Science, Engineering, Statistics, Mathematics, or a related field.
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.
Benefits
BorgWarner is an automotive supplier of mobility solutions for the vehicle market.
