How do I apply for the Student Job (f/m/x) - Data & AI Automation position at Raiffeisen Bank International AG 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 Raiffeisen Bank International AG 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 Student Job (f/m/x) - Data & AI Automation role?

This position is a part-time, structured as a hybrid role.

What educational background or degree level is required for the Student Job (f/m/x) - Data & AI Automation at Raiffeisen Bank International AG?

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

Does Raiffeisen Bank International AG 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.

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

AI & Machine Learning

Applied Machine Learning

Languages

English

Nice to Haves

SQL
Power BI
Databricks
APIs
low-code tools
Git

Apply Now

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