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 2021, Continental generated sales of €33.8 billion and currently employs more than 190,000 people in 58 countries and markets. On October 8, 2021, the company celebrated its 150th anniversary.
 

Job Description

At Continental, we leverage data-driven insights to solve business problems and deliver innovative solutions. Our team is passionate about harnessing the power of data to drive decision-making and enhance customer/user experiences. As an intern, you'll work alongside experienced data scientists and engineers to contribute to impactful projects. You will be assigned a task for the duration of your internship from the various topics covered by our Data Science team, which include demand forecasting, computer vision, and more

Responsibilities:

• Collaborate with cross-functional teams to define, develop, and deploy data-driven solutions.
• Support experienced data scientists in analyzing complex datasets, developing models, and testing hypotheses.
• Work on demand forecasting projects to predict future trends and improve operational efficiency using advanced statistical and machine learning techniques.
• Apply computer vision techniques to analyze and extract insights from images, videos, or other visual data.
• Clean, preprocess, and analyze large datasets to uncover patterns and insights.
• Develop, evaluate, and refine predictive models, ensuring they meet performance metrics.
• Document workflows, methodologies, and findings to contribute to organizational knowledge.

Qualifications

• Currently pursuing or recently completed a degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
• Strong programming skills in Python (preferred) or R, with experience in libraries such as NumPy, pandas, scikit-learn.
• Basic understanding of machine learning and statistical modeling concepts.
• Proficiency in data visualization tools (e.g., Matplotlib, Seaborn, or Tableau) is a plus.
• Experience with cloud platforms (e.g., AWS, Azure, or Google Cloud) and version control systems (e.g., Git) is advantageous.
• Strong problem-solving skills and the ability to work collaboratively in a team environment.
• Excellent communication skills, with the ability to present complex ideas clearly and concisely.

Additional Information

What You'll Gain:

• Hands-on experience working on real-world data science projects with direct business impact.
• Mentorship and guidance from experienced data scientists.
• The chance to work in a dynamic, innovative, and supportive environment.

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