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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

19Open Positions

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  • Student Job (f/m/x) - Data & AI Automation

    Raiffeisen Bank International AG
    Vienna, Austria
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  • Internship

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  • Propulsion Engineer (F/M/X)

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  • Propulsion Test Engineer Intern (F/M/X)

    ISPTech
    Ludwigsburg, Germany
    Found 2 months ago
  • Werkstudent (m/w/x) im Bereich Qualitätssicherung Triebwerke Aerospace

    ottofuchskg
    Meinerzhagen, Germany
    Found 2 months ago
  • 6 months internship - Propulsion Test Engineer (m/f/d)

    Isar Aerospace
    Kiruna, Sweden
    Found 2 months ago
  • Schülerpraktikum (all genders)

    MTU Aero Engines AG
    Langenhagen, Germany
    Found 3 months ago
  • Schülerpraktikum

    MTU Aero Engines AG
    Langenhagen, Germany
    Found 3 months ago
  • Schülerpraktikum (all genders)

    MTU Aero Engines AG
    Langenhagen, Germany
    Found 3 months ago

Student Job (f/m/x) - Data & AI Automation

Raiffeisen Bank International AG
Found 1 month ago
Location
Vienna, Austria
Time
Part-time
Work Mode
Hybrid
Salary
gross EUR 2,538.57
Visa Help
Not disclosed
Last Verified
1 month ago

Education

  • Bachelor

Skills & Qualifications

Technical Skills

  • Python
  • SQL
  • Databricks
  • APIs
  • Power BI

Soft Skills

  • Analytical thinking
  • structured working style

Job Description

Join the Non-Financial Risk Tribe at RBI Group. We are expanding the use of data, automation, and AI to improve internal processes and efficiency across the organization. To support these initiatives, we are looking for a working student with a strong interest in data, automation, and modern technologies. In this role, you will contribute to building automation solutions, supporting data workflows, and experimenting with AI tools in a practical environment.

Requirements

  • Ongoing studies in IT, Computer Science, Data Science or a related technical field
  • Fluency in English
  • Strong interest in data, automation and modern technologies
  • Basic programming skills (preferably Python)
  • Basic understanding of data handling and structured datasets (SQL is a plus)
  • Interest in data engineering concepts (ETL, APIs, data pipelines) and AI tools and automation solutions
  • Analytical thinking and structured working style
  • First experience with Power BI, Databricks, APIs, low-code tools or Git is a plus

Related Field

  • AI & Machine Learning

Related Subfield

  • Applied Machine Learning

Languages

  • English

Nice to Haves

  • SQL
  • Power BI
  • Databricks
  • APIs
  • low-code tools
  • Git
▶Apply Now

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