# Praktikum Datenanalyse Validierung & Verifikation Verbrennung-/Hybrid- und Energiesystem

**Company**: Dr. Ing. h.c. F. Porsche AG
**Location**: Weissach
**Work arrangement**: onsite
**Experience**: entry
**Job type**: internship
**Category**: Engineering
**Industry**: Automotive

**Apply**: https://jobs.porsche.com/index.php?ac=jobad&id=18111&utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_2f11948f-bc6

## Description

As a data analyst at Porsche, you will play a key role in developing and applying data science methods to analyze real-world data from vehicles. Your responsibilities will include:

Developing and applying data science methods to analyze real-world data from vehicles Further developing existing automated data analysis modules for the test facility using cloud technologies Developing new methods for data analysis using modern machine learning and AI technologies Preparing, structuring, and providing data for data-driven decision-making processes Visualizing analysis results using Power BI, Tableau, or Python (Matplotlib, Seaborn, Plotly) for various stakeholders

You will work closely with our team to develop innovative solutions and drive forward the development of future technologies. You will have the opportunity to work on real-world projects and contribute to the success of our organization.

The duration of the internship is 6 months, starting in October. You will have the opportunity to work in a dynamic and innovative environment with a motivated team. You will also have flexible working hours and the possibility of remote work.

To be eligible for this internship, you should have a strong background in data analysis and machine learning. You should have experience with programming languages such as Python, R, or SQL. You should also have knowledge of data visualization tools such as Power BI, Tableau, or Matplotlib.

If you are interested in this internship, please submit your application through our online portal. We look forward to hearing from you!

Benefits:

- Opportunity to work on real-world projects

- Dynamic and innovative work environment

- Motivated team

- Flexible working hours

- Remote work possibility

- Opportunity to develop your skills and knowledge

- Competitive salary and benefits package

Requirements:

- Strong background in data analysis and machine learning

- Experience with programming languages such as Python, R, or SQL

- Knowledge of data visualization tools such as Power BI, Tableau, or Matplotlib

- Good communication and teamwork skills

- Ability to work independently and as part of a team

- Strong problem-solving skills

- Ability to adapt to changing priorities and deadlines

Preferred qualifications:

- Master's degree in data science, computer science, or a related field

- Experience with cloud technologies such as AWS or Azure

- Knowledge of machine learning frameworks such as TensorFlow or PyTorch

- Experience with data visualization tools such as D3.js or Plotly

- Strong understanding of statistical concepts and techniques

- Ability to communicate complex technical concepts to non-technical stakeholders

Salary:

- The salary for this internship is competitive and will be discussed during the interview process.

Location:

- The internship will be located in Weissach, Germany.

Duration:

- The internship will last for 6 months, starting in October.

Working hours:

- The working hours will be flexible and can be discussed during the interview process.

Remote work:

- The possibility of remote work will be discussed during the interview process.

Application:

- To apply for this internship, please submit your application through our online portal.

Contact:

- For more information about this internship, please contact us at [insert contact email or phone number].

## Skills

### Required
- data analysis
- machine learning
- Python
- R
- SQL
- Power BI
- Tableau
- Matplotlib

### Nice to have
- cloud technologies
- AWS
- Azure
- TensorFlow
- PyTorch
- D3.js
- Plotly
- statistical concepts
- data visualization

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Source: [Apply at jobs.porsche.com](https://jobs.porsche.com/index.php?ac=jobad&id=18111&utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)