Internship - Data Science & Engineering Predictive Maintenance (m/f/d)

It's time to reshape automotive mobility for everyone!

At CARIAD, we have the mission to create and deliver leading digital technology for the Volkswagen Group. We're uniting over 6,000 global experts to build powerful software architectures that enable completely new customer experiences.
Iconic models like the Volkswagen ID. Buzz, Audi Q6 e-tron, and Porsche Macan 4 Electric are already equipped with CARIAD technology.

Join us at CARIAD and become part of an exciting journey to shape the future of mobility!

YOUR TEAM

The competence center data science and engineering in IIX is your professional home. We are a team and a network of like-minded individuals who are passionate about transforming automotive mobility through data science. Our mission is to solve real-world problems for our customers within the Volkswagen Group by developing innovative, data-driven products.
We work with high-volume fleet data and leverage advanced analytics and machine learning to create scalable solutions for various mobility services. In your role as an intern in Data Science & Engineering, you will be an integral part of this effort, developing data-driven products and pipelines that directly contribute to our goal of revolutionizing mobility services on a global scale.

WHAT YOU WILL DO

• Actively support data collection campaigns, including their testing and continuous improvement
• Conduct hands-on analysis of fleet data using Exploratory Data Analysis (EDA) techniques to uncover patterns, trends, and insights
• Develop and optimize data pipelines by creating jobs, enhancing performance and cost efficiency, managing deployments, and executing ETL (Extract, Transform, Load) processes
• Implement methods of infrastructure as code to ensure scalability and maintainability, using Python and PySpark
• Perform all tasks along the machine learning lifecycle, including hands-on data preparation, feature engineering, model training, and evaluation to solve real-world problems

WHO YOU ARE

• Enrolled in a Bachelor's or Master's program in Computer Science, Data Science, Mathematics, or a related field
• Expertise in programming languages such as Python and SQL; experience with PySpark is a plus
• Familiarity with big data technologies, such as Spark
• Understanding of machine learning concepts and frameworks; practical hands-on experience is advantageous
• Initial experience with data engineering concepts and tools, particularly ETL processes
• Ability to work both independently and collaboratively within a team
• Excellent communication skills in English; German is an advantage

NICE TO KNOW

• Remote work options
• Duration: 6 months
• Start: Feb/Mar 25 (asap)
• If you have further questions about the candidate journey at CARIAD, please contact us: careers@cariad.technology

YOUR RECRUITING CONTACT

Sandra Lehenmeier