Data Science Intern

Position: Data Science Intern – Corporate Advanced Engineering Location: Auburn Hills, MI About us BorgWarner is a global product leader in delivering innovative and sustainable mobility solutions for the vehicle market. We are a company of innovators and independent thinkers that brings together talented employees, meaningful work, and amazing technology in a unique environment. At BorgWarner we constantly work towards our vision of a clean and energy-efficient world. Our Culture We believe health and safety of our employees are a top priority, we care about our local communities and the global environment. BorgWarner promotes and nurtures a diverse and inclusive environment, honors integrity, strives for excellence, commits to responsibility for our communities and the environment, and builds on the power of collaboration. Career Opportunities We manage talent as seriously as we manage our businesses and encourage you to learn about our proud history, strong culture, technologies and future vision. We offer a strong local presence and interesting global opportunities. Start your future with BorgWarner now Job purpose 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. Key responsibilities Collabora te 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 . What we’re looking for Currently pursuing a Bachelor's degree in Data Science, Computer Science, Engineering, Statistics, Mathematics, or a related field. Enrollment in a graduate program (Master's or Ph.D.) in a relevant field is a plus. Demonstrated coursework or projects involving data analysis, machine learning, and statistical modelling . Proficiency in programming languages such as Python (preferred) or MATLAB . F amiliarity 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 What we believe Inclusion -We value diversity in people, ideas, and experiences. Integrity - We believe in transparency, authenticity , and depend on each other to deliver what we promise. Excellence - We contribute to our developments by seeking knowledge and sharing information. Responsibility - We care about our local communities and the global environment. Collaboration - We are one BorgWarner . Safety This position will adhere to Global Star Safety Program, including safety rules, practices and training as outlined in the BorgWarner PTC Safety Policy Manual, which includes the use of equipment, protective devices, or clothing that the employer requires. This individual will work in manners that stress the importance of preventing accidents and illnesses. He/she must take every precaution reasonable in the given circumstance for the protection of themselves and coworkers. In addition, he/she is responsible for reporting all injuries and/or possible dangerous situations, incidents, or occurrences to the immediate supervisor. Equal Employment Opportunity BorgWarner is an equal employment opportunity employer such that all qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity/expression, national origin, disability or protected veteran status. Visa Sponsorship BorgWarner does provide sponsorship for employment visa status based on business need. However, for this role, applicants must be currently authorized to work in the United States on a full-time basis. No Unauthorized Referrals from Recruiters & Vendors Please note that BorgWarner and any of its affiliated companies does not seek or accept unsolicited resumes or offers from third party recruiters or staffing agencies associated with any published or unpublished employment opportunities. Any unsolicited information sent to BorgWarner will be considered as unencumbered and free from any fee or charge whatsoever. Only members of our Human Resources Team have the authority to engage or authorize recruiting services, which must be agreed upon before the unsolicited resume or offer is received. Join the company that is creating solutions that support a cleaner, more energy-efficient world. For more information about BorgWarner, please visit www.borgwarner.com Internal Use Only: Indirect Hourly Global Terms of Use and Privacy Statement Carefully read the BorgWarner Privacy Policy before using this website. Your ability to access and use this website and apply for a job at BorgWarner are conditioned on your acceptance and compliance with these terms. Please access the linked document by clicking here (https://www.borgwarner.com/legal/privacy-policy-for-online-applications) , select the geographical area where you are applying for employment, and review. Before submitting your application you will be asked to confirm your agreement with the terms. 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