Internship - Data Scientist / Data Analyst (m/f/d) - REF78202H
Hannover, Germany
Continental
Our Goal: Healthy Mobility - clean, safe and connected. Our heart beats for this. Learn more about it on our homepage.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 2023, Continental generated sales of €41.4 billion and currently employs around 200,000 people in 56 countries and markets.
With its premium portfolio in the car, truck, bus, two-wheel and specialty tire segment, the Tires group sector stands for innovative solutions in tire technology. Intelligent products and services related to tires and the promotion of sustainability complete the product portfolio. For specialist dealers and fleet management, Tires offers digital tire monitoring and tire management systems, in addition to other services, with the aim of keeping fleets mobile and increasing their efficiency. With its tires, Continental makes a significant contribution to safe, efficient and environmentally friendly mobility.
Job Description
Digital Solution – Data & Software Quality department at our location Hannover-Stöcken is in charge of manufacturing machine data generation, acquisition, data validation – building up data pipelines between manufacturing machines and IT systems – ensuring high data quality, worldwide.
Join our team as a Data Scientist / Data Analyst and dive into a world of data collected from thousands of manufacturing machines worldwide. This is your chance to work with manufacturing data to solve complex problems and contribute to the future of manufacturing.
Within this exciting work environment, we are offering an internship position starting as soon as possible. For the best learning experience possible, the internship should require a duration of 6 months.
Tasks include:
- Data Analysis: Explore and analyze large datasets to identify data quality issues, outliers, and correlations using dedicated data quality analyzer software.
- Training & Support: Act as an application key user, training engineers worldwide on how to use the software effectively. Provide ongoing support and collect feedback to ensure continuous improvement.
- Collaboration: Work closely with the development team to enhance the data quality analysis solution, incorporating feedback from engineers and users globally.
- Innovation: Contribute to the development of new methodologies and tools to improve data quality and analysis processes.
Qualifications
- Students (m/f/diverse) that study Data Science, Computer Science, Engineering, or a related field.
- Proficiency in data analysis tools and software.
- Ability to work independently and as part of a team.
- Very good command of english language skills (written and spoken)
- Strong analytical and problem-solving skills.
- Strong attention to detail
- Excellent communication and interpersonal skills.
Please remember to 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 Information
- Hands-on experience with real-world data from a global network of manufacturing machines
- Opportunity to work with a dynamic and innovative team
- Training and mentorship from experienced professionals
- A collaborative and supportive work environment
- Potential for future career opportunities within the company
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.
Ready to drive with Continental? Take the first step and fill in the online application.
Tags: Computer Science Data analysis Data pipelines Data quality Engineering Pipelines
Perks/benefits: Career development
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