Company Description

Continental develops pioneering technologies and services for sustainable and connected mobility of people and their goods. Founded in 1871, the technology company offers safe, efficient, intelligent and affordable solutions for vehicles, machines, traffic and transportation. In 2024, Continental generated preliminary sales of €39.7 billion and currently employs around 190,000 people in 55 countries and markets.

Tire solutions from the Tires group sector make mobility safer, smarter, and more sustainable. Its premium portfolio encompasses car, truck, bus, two-wheel, and specialty tires as well as smart solutions and services for fleets and tire retailers. Continental has been delivering top performance for more than 150 years and is one of the world’s largest tire manufacturers.  

Job Description

Our Tires Digital Solutions team at our location Hannover-Stöcken develops the latest, most innovative digital tire management systems – and we want you to join us!

We are a global, diverse, and very agile team that gives our people the freedom to act. We create tire solutions that make a difference for fleets and vehicle manufacturers around the globe. And we do it all, from ideation and product development to logistics, marketing, brand management and customer care.

Our team is looking for a mandatory intern student starting August 2026 for a duration of 6 months that would like to develop skills in the area of data science and data analysis. Together with our colleagues you would have the opportunity to:

Prototype machine learning models for our new products or business areasPrototype data visualizations and data pipelines/modelsWork in the field of Analytics to discover new potential patterns and insights from dataAnalyse relevant information about our hardware, markets, customers and competitorsKeep up-to-date with business & technology trends and disseminate amongst peers & team membersWork in a startup-type environment with access to cross-functional and international teams to support a wide variety of projects.

QualificationsEnrolled student (m/f/diverse) in Computer Science, Business Informatics, Mathematics, Electrical Engineering, Physics or related study programsGood knowledge of programming (Python and/or C/C++ preferred) with first experience in programming with AI frameworks (e.g., pytorch, huggingface etc.)Good knowledge of quantitative statistical methods and machine learning foundationsGood knowledge of SQL and databasesInterest in building flexible data pipelines and visualizing insights using or learning tools like KNIME, SPSS, Power BI, or TableauFamiliarity with optimization problems and experience with GPS data (e.g., OSRM or Valhalla) are beneficialFluency in English language is essential (written & spoken); German is a plusAbility to overlook, analyze and visualize complex informationGood communication and presentation skillsHigh interest in automotive industry

Please attach your current certificate of enrollment and also your current transcripts of records and an extract of certificate for a mandatory internship. Those documents are mandatory for processing your application. If required, please submit your valid residence permit as well as your work permit including the additional sheet.

Applications from severely handicapped people are welcome.

Additional InformationAttractive remuneration Flexible working hours in the flexitime modelA hybrid work environment – remote or on-site depending on team organization and tasksQualified support from our specialistsHealth-oriented workplace

If you are interested to learn more about this specific Continental location, you are welcome to visite our location page: Continental / Hannover Stöcken

Diversity, Inclusion & Belonging are important to us and make our company strong and successful. We offer equal opportunities to everyone - regardless of age, gender, nationality, cultural background, disability, religion, ideology or sexual orientation.

 

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Ready to drive with Continental? Take the first step and fill in the online application.