How do I apply for the Working Student Data Science (f/m/d/x) position at Mercedes-Benz Tech Innovation and track my application?

We provide a direct link to the official application portal. You can apply directly here . Additionally, you can easily track this and other applications by clicking the bookmark icon to save it to your YGI Kanban board .

Is the internship at Mercedes-Benz Tech Innovation paid and what compensation can candidates expect?

Yes, this is a paid internship opportunity. Exact compensation details are typically finalized during the company interview process.

What are the working arrangements and expected duration for the Working Student Data Science (f/m/d/x) role?

This position is a part-time, structured as a hybrid role, with an expected duration of 5 months.

What educational background or degree level is required for the Working Student Data Science (f/m/d/x) at Mercedes-Benz Tech Innovation?

Candidates are generally expected to be holding or pursuing the following degree levels: Bachelor, Master, PhD.

Does Mercedes-Benz Tech Innovation provide visa sponsorship or assistance for international applicants?

Regarding visa assistance and sponsorship for this role, the official status is currently listed as: Not disclosed.

Working Student Data Science (f/m/d/x)

Mercedes-Benz Tech Innovation

Found 3 weeks ago

Location

Stuttgart, Germany

Duration (Months)

5 Months

Time

Part-time

Work Mode

Hybrid

Salary

attractive salary

Visa Help

Not disclosed

Last Verified

3 weeks ago

Education

Bachelor
Master
PhD

Skills & Qualifications

Technical Skills

Data Science
Artificial Intelligence
AI
data cleansing
data pipelines
Machine Learning
ML
data analysis
pattern recognition
data modeling
data preparation
SVM
Neural Networks
LLM
Databricks
Python
PySpark
Pandas
Data Engineering
Data Analytics
Cloud Solutions
Azure
AWS
front-end design

Soft Skills

curious

Job Description

As a working student (f/m/d/x), you will support the development of solutions in the field of Artificial Intelligence (AI). You will assist with data cleansing and the setup of data pipelines for innovative AI applications. Furthermore, you will prepare data for use by Machine Learning (ML) algorithms. You will contribute to the development, implementation, and optimization of ML algorithms for data analysis and pattern recognition.

Requirements

enrolled student (f/m/d/x) of Computer Science, Mathematics, Statistics, Business Informatics, or a comparable degree program with a focus on Data Science.
basic knowledge in data modeling, preparation, and analysis
initial practical experience with ML models (e.g., SVM, Neural Networks, LLM).
initial contact with tools like Databricks.
good programming skills in Python (ideally with PySpark, Pandas).
curious about related topics such as Data Engineering, Data Analytics, and Cloud Solutions (Azure, AWS), as well as front-end design.
Good German and English language skills, both written and spoken

AI & Machine Learning

Applied Machine Learning

Languages

German
English

Nice to Haves

Databricks
PySpark
Data Engineering
Data Analytics
Cloud Solutions
Azure
AWS
front-end design

Apply Now

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