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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