RESPONSIBILITIES
- Completed or ongoing studies in Computer Science, Data Engineering, Software Engineering, or a comparable IT-related education
- Fluent in English, German is a plus
- Experience with SQL
- Basic scripting knowledge (e.g., Python)
- Experience working with big data and a strong affinity for data are a plus
- Basic understanding of cloud environments (e.g., Amazon Web Services, Google Cloud Platform, Microsoft Azure) is a plus
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Die Rolle
- Ongoing or recently completed studies in a data-related field (e.g. Data Analytics, Data Science, Business Informatics, Computer Science, Economics, Business Administration)
- Initial experience with data analysis, reporting, databases, or data preparation/cleaning
- Working knowledge of Excel (formulas, filters, pivot tables) and basic SQL (SELECT, WHERE, simple JOINs)
- General understanding of data structures, data quality concepts, and ideally first exposure to BI/visualization tools (e.g. Power BI, Tableau)
- Structured, accurate, and detail-oriented working style with a strong willingness to learn and take ownership of operational tasks
- Clear and professional communication skills in English (German and other languages beneficial)
- Service-oriented mindset, reliability in daily operations, and the ability to work well in a team and follow defined processes
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RESPONSIBILITIES
- Advanced undergraduate student, postgraduate student, or recent graduates (Bachelor’s / Master's degree) in Computer Science, Data Science, or a related field
- Fluent in English, German is a plus
- Familiarity with programming languages and scripting (e.g., Python)
- Basic understanding of cloud computing platforms (ideally AWS)
- Comfortable working with data having first experience with data visualization tools (e.g., Tableau, Looker)
- Knowledge of SQL to query databases and data products
- Strong interest in data-driven decision making
- Affinity for media and automation is a big plus
- Ability and courage to challenge the status quo as well as the willingness to investigate new solutions and technologies
- Self‑driven and communicative team player
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RESPONSIBILITIES
- Advanced undergraduate student, postgraduate student, or recent graduates (Bachelor’s / Master's degree) in Computer Science, Data Science, Engineering, or a related field
- Fluent in English, German is a plus
- Solid understanding of LLMs and Generative AI, enabling you to contribute to prompt design, evaluation, and structured testing of agentic AI systems
- Initial hands‑on experience with prompt engineering and prompting strategies
- Familiarity with evaluation methodologies, including traditional ML metrics or structured qualitative assessment frameworks
- Programming and scripting skills (e.g., Python) to support evaluation frameworks, example test set creation, and exploration of LLM‑as‑a‑Judge approaches
- Strong interest in cloud technologies, paired with a continuous learning mindset and curiosity for emerging tools and methods
- Willingness to challenge the status quo and explore new technologies, combined with analytical problem‑solving abilities
- Self‑driven, communicative team player with an affinity for media & technology and a user‑centric, research‑oriented mindset
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RESPONSIBILITIES
- Enrolled student or recent graduate (Bachelor’s or master’s level) in Information Systems, Digital Transformation, Business Informatics, IT Management or a related field.
- Fluent in English, German is a plus.
- Strong analytical thinking and structured working style, with an interest in understanding processes and improving them.
- Ability to communicate clearly and reliably in a professional, cross-functional environment.
- Interest in Digital Workplace topics, enterprise IT collaboration tools and processes.
- Hands-on mindset with a willingness to support both operational and coordination-heavy tasks.
- Basic familiarity with tools such as Jira, Airtable, Confluence or similar systems is an advantage, but not a prerequisite.
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