Intern, Data Science

Fountain Valley, CA, US, 92708

Hyundai Motor America

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At Hyundai, we’ve rethought our business and created cars that combine performance, quality, design and innovation into a complete package.

It’s time you rethink what you expect from an employer.

At Hyundai, we understand you're not just building a career – you're building a life. We believe in our people and realize that our success is a direct result of our commitment in offering you great opportunities for your career. If you would enjoy working in a dynamic environment and are looking for a chance to become part of a stellar team of professionals, we invite you to apply online today.

 

Intern, Data Science

As a Data Science Intern, you have the incredible opportunity to dive deep into the world of analytics, partnering with diverse business units to drive innovation and insight across the organization. Embrace your passion for machine learning, statistics, text analytics, and predictive modeling, as you gain hands-on experience that shapes the future of data-driven decision-making. 

 

Join us in shaping the future of the industry and unlocking your full potential! Hyundai internships are experiences optimized for student candidates. To be eligible, you must be an undergraduate or graduate student in an accredited program during the internship term with an expected graduation date between December 2025 through June 2027.


Timeline:
Application Window: November to February 2025
Interviews: February 2025 to April 2025
Summer Program: June 2025 to August 2025
Location: National Headquarters in Fountain Valley, CA. - Seeking local candidates only.
Must be eligible to work up to 40 hours per week

 

Major Responsibilities & Project Details:

  • Work on analytics projects related to customer and vehicle data   
  • Pre-process, clean, and analyze large data sets.   
  • Conduct exploratory data analysis.  
  • Create new input features and build end to end data pipeline for machine learning models.  
  • Develop machine learning models using advanced statistical techniques  
  • Leverage machine learning and natural language processing techniques to mine unstructured data and uncover insights, topic detection, keyword extraction, and sentiment analysis.  
  • Present data and analysis in a clear and concise manner.  
  • Respond to emails, calls, in-person inquiries and requests.  
  • Participate in meetings, capture notes and publish action items, and follow-up on next steps  
  • Interface with IT  
  • Escalate issues as needed.  
  • Other assignments and administrative tasks as needed.  

 

Additional Notes:

  • Available for a full-time paid internship in June to August 2025   
  • Local to NHQ (no relocation or housing will be offered)   
  • Must be legally authorized to work in the US on a full-time basis during the internship   
  • Hybrid schedule (onsite 3-4x per week, depending on business/project need)   
  • Visa sponsorship is not available   
  • Work hours are 8:00 AM to 5:00 PM (Monday-Friday) 
  • Compensation: $25.00/Hour

 

Education:

  • Must be a high school graduate 
  • Current enrollment in a Bachelor’s or Master's Degree program in a related functional field 

 

 

 

Our Company adheres to the equal employment opportunity guidelines set forth by federal, state and local laws.  The information requested on this form is sought in good faith and will not be used to discriminate against the applicant based on race, religion or creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic characteristics, marital status, sex or gender (which includes pregnancy, childbirth, or related circumstances), gender identity, gender expression, age, citizenship, sexual orientation, family care or medical leave status, military and veteran status, political affiliation, or any other characteristic protected by federal, state and local laws.

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Tags: Data analysis EDA Machine Learning ML models NLP Predictive modeling Statistics Unstructured data

Perks/benefits: Medical leave Relocation support

Region: North America
Country: United States

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