Internship - Data Scientist / Data Engineer- REF62286Z
at Continental
30419 Hannover, Niedersachsen, Germany -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 27 Sep, 2024 | Not Specified | 27 Jun, 2024 | N/A | Containerization,Computer Science,Software Development,Docker,Data Science,Data Engineering | No | No |
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Description:
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.
To support our team at the location Hannover-Stöcken, we are looking for an internship (m/f/diverse) for 6 months, starting as soon as possible.
In the internship, your tasks will include the following activities:
- Participate in application development projects for analyzing data quality of manufacturing machine data
- Develop automated outlier detection using state of the art technologies (e.g. AI, Machine Learning)
- Assist in application deployments and testing
- Learn on the job and explore new technologies
QUALIFICATIONS
- Students of Computer Science, Electrical Engineering or similar field of study (ideally having a Specialization in Software Development, Data Science or Data Engineering)
- General knowledge in Python and Software testing experience
- Basic knowledge in OPC-UA and NET is a plus
- First experience with Containerization (Docker, Kubernetes)
- Very good English skills, written and spoke
Please remember to upload your current certificate of enrollment as well as your current transcript of grades, as these 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
- Attractive remuneration
- Flexible working hours in the flexitime model
- A hybrid work environment – remote or on-site depending on team organization and tasks
- Qualified support from our specialists
- Health-oriented workplace
Ready to drive with Continental? Take the first step and fill in the online application
Responsibilities:
- Participate in application development projects for analyzing data quality of manufacturing machine data
- Develop automated outlier detection using state of the art technologies (e.g. AI, Machine Learning)
- Assist in application deployments and testing
- Learn on the job and explore new technologie
REQUIREMENT SUMMARY
Min:N/AMax:5.0 year(s)
Information Technology/IT
IT Software - Application Programming / Maintenance
Software Engineering
Trade Certificate
Please remember to upload your current certificate of enrollment as well as your current transcript of grades as these are mandatory for processing your application.
Proficient
1
30419 Hannover, Germany