Join the Non-Financial Risk Tribe at RBI Group and help us expand the use of data, automation, and AI to improve internal processes and decision-making across the organization.

We are looking for a technically strong working student currently pursuing studies in Computer Science, Computer Engineering, Data Science or a related field at a technical university or university of applied sciences.

In this role, you will work on practical automation and analytics use cases, build small internal tools, support data workflows, and experiment with modern AI technologies in an enterprise environment. You should enjoy coding, solving real-world problems, working with data, and learning new technologies independently.

At a glance

Starting date: as soon as possible
Working hours: 20-25 h/week
Location: 1030 Vienna

Your role with us on the team

Support the development of automation scripts and small internal tools (e.g. Python-based solutions)
Assist in data preparation, transformation, and analysis
Contribute to data pipelines and data flows using modern platforms (e.g. Databricks)
Help build and maintain Power BI dashboards and reports
Support integration of APIs and data sources
Leverage AI/LLM tools to improve efficiency (e.g. automation, documentation, data analysis)
Collaborate with team members on small automation and data use cases
Gain hands-on experience with modern data platforms and tools

Your core competencies

Ongoing studies in Computer Science or Data Science at a technical university
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

What's in it for you

Work & Study: The ability to gain practical experience with real world data and automation use cases in an international banking environment while continuing your studies
Flexibility: Working hours adaptable to your university schedule and a balance of on-site and home-office days
Onboarding: An easy start with a buddy from your team to guide you
Community: Internal networking with other students
Internationality: Operations in Central and Eastern Europe with English as the corporate language, providing a foundation for an international career
Canteen: A wide variety of healthy, tasty, and heavily subsidized meal options
Further Benefits: Shopping vouchers from the staff council (e.g., supermarkets), free museum tickets, attractive sports offers, fitness center membership allowance, and a reduced public transport pass
Compensation: An attractive monthly student salary of gross EUR 2,619.73 (based on 38.5 hours per week)

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If you have questions about our application process or if you want to know more about our Work & Study concept, feel free to take a look at our Student Page or our FAQ.

Your contact:

Christina Stolz
Talent Acquisition Students & Interns

At Raiffeisen Bank International, with 17 million customers across Austria and CEE, it’s our people who make the difference. We give you the tools, trust, and opportunities to shape your own path from the start. With flexible working models, you can balance work and study in the way that suits you best. And with 350+ working students in-house, you’ll be part of a strong community and open culture where you can connect, learn, and grow. Whatever role you choose, you’ll gain real-world experience and help deliver banking solutions that matter – across borders and at scale.

Your benefits at one sight:

Join a team that values your well-being and professional development, offering a variety of benefits to support your success.

Don't just watch your future happen.
Make it happen.

Jetzt bewerben

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Your role with us on the team

Your core competencies

What's in it for you

Your benefits at one sight:

Don't just watch your future happen.
Make it happen.

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Related Searches

Weitere Job-Standorte erkunden

Student Job (f/m/x) - Data & AI Automation (20-25 h/week)

At a glance

Your role with us on the team

Your core competencies

What's in it for you

Your benefits at one sight:

Don't just watch your future happen. Make it happen.

Don't just watch your future happen.
Make it happen.