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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

2Open Positions

Auto-load
  • Working Student Data Science (f/m/d/x)

    Mercedes-Benz Tech Innovation
    Stuttgart, Germany
    Found 3 weeks ago
  • Site Reliability Engineer – Fintech

    Quant Capital
    Wimbledon, United Kingdom
    Found 2 months ago
  • Site Reliability Engineer Intern

    Criteo
    Paris, France
    Found 3 months ago

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

Related Field

  • AI & Machine Learning

Related Subfield

  • 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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