Internship Opportunity: Data Engineering / Applied Statistics
Location: Luxembourg
Employer: Ministry of Education in Luxembourg, Service SCRIPT, Data Division
Duration: 6 months
Starting date: from September 2026 (availability for January 2027 or May 2027)
Short Description:
Join the statistical division of SCRIPT, part of Luxembourg’s Ministry of Education, as a Data Engineer / Statistics intern. Help shape the future of education in Luxembourg by analyzing administrative data, building robust data pipelines, and developing innovative solutions. We seek students studying Computer Science or Applied Statistics who want to apply their technical skills to educational data.
Key possible responsibilities:
- Apply statistical methods to analyze Luxembourg’s educational system and provide actionable insights for data-driven decision-making (enrollments, dropouts, PISA)
- Design, develop, and maintain automated data pipelines to ensure the consistency, reliability, and integrity of large, complex datasets (temporal database, upserts)
- Implement state-of-the-art techniques in Statistics, Machine Learning and AI to bring innovation to the team (LLM models)
- Develop and deploy IT solutions to streamline and support the division’s daily operations (Web applications)
- Contribute to Git codebases by providing clear, maintainable, and well-documented code
- Design and deliver data visualizations and dashboards to effectively inform and engage key stakeholders
What we offer:
- A dynamic, international, and collaborative work environment
- Valuable experience in public statistics, data engineering and the education sector
- The opportunity to work with large-scale datasets from Luxembourg’s educational system
- A compensation based on the length and type of internship
Requirements:
- Currently pursuing a university degree (candidates who have already completed their Master’s degree are not eligible)
- Must be an EU citizen
- Professional proficiency in English. Knowledge of French, German or Luxembourgish is a plus
- Experience with programming languages such as R or Python, or experience with SQL databases
Qualifications which will be considered a plus:
- Previous experience in applying statistical methods, ML or AI (including LLM or agentic AI) to real-world business problems or research projects
- Experience collaborating with others on projects, as well as the ability to work autonomously on dedicated tasks
- Experience with Linux server administration, High-Performance Computing (HPC), or AI infrastructure
We look forward to receiving your CV and cover letter at stagiaire-data@script.lu.