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INTERNSHIP DETAILS

Technical Stewardship - 6-Month Internship

CompanyLNDS (Luxembourg National Data Service)

LocationEsch-sur-Alzette

Work ModeOn Site

PostedSeptember 25, 2026

Internship Information

Core Responsibilities

You will contribute to the development of an LLM pipeline using Retrieval-Augmented Generation to automate schema-to-text and text-to-schema transformations. Additionally, you will evaluate system outputs for consistency and compliance within the Data Access Application workflow.

Internship Type

intern / student

Salary Range

€1,200 - €1,500

Company Size

Visa Sponsorship

Language

English

Working Hours

40 hours

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the company's application page

About The Company

Luxembourg National Data Service (LNDS) is an economic interest group created by the Luxembourg Government, to implement Luxembourg’s strategies in research, innovation, and digitalisation. Our aim is to enable value creation from secondary use of data, for public and private partners and support the sharing and re-use of public sector data, in a trustable manner. The LNDS service portfolio includes know-how, capabilities, tools, infrastructure, and data services. The service portfolio is developed together with data partners, through concrete data projects. Through efficient & responsible use of data and improving the secondary use of data, LNDS will support the acceleration of economic, ecological, and societal transitions. We are transparent, trustable and thriving. Our people are our most important asset. We share our knowledge and experience seamlessly across teams, united by our common goal: to create societal impact through supporting value creation of data for our data partners. At LNDS everyone can truly be themselves. We operate with respect for people, with a very friendly and caring work culture. On a national level, LNDS will be a catalyst for the national research and innovation ecosystem to fully utilise the potential of data. We collaborate closely with actors representing government, industry, research and citizens, to make an impact together. We develop these capabilities in an international context. On the European level, LNDS will become a major contributor to the European Data Spaces as described in the data strategy of the European Commission.

About the Role

Who we are

Luxembourg National Data Service (LNDS) is a brand of PNED G.I.E. an organisation created by the Luxembourg Government, to implement Luxembourg’s strategies in research, innovation, and digitalisation. LNDS enables value creation from secondary use of data, for public and private partners and supports the sharing and re-use of public sector data, in a trustable manner. The LNDS service portfolio includes know-how, capabilities, tools, infrastructure, and data services. Through efficient & responsible use of data and improving the secondary use of data, LNDS will support the acceleration of economic, ecological, and societal transitions.

Purpose of the job / project

You will work closely with LNDS’ Data Stewards, a multidisciplinary team covering topics of Research Data Management, Data Governance, and Applicant support in Data Access Applications.
You will contribute to accelerate and facilitate the LNDS role in supporting applicants for Data Access Requests.

What you will do

You will investigate the further development of an existing Large Language Model (LLM) pipeline based on Retrieval-Augmented Generation (RAG). The objective is to design, implement, and evaluate one or more approaches for schema-to-text and text-to-schema transformations within a defined Data Access Application workflow.
The developed system will:

Analyze data flow diagrams and populate the corresponding template with accurate and complete information.
Create data flow diagrams based on textual requirements and specifications.
Verify the internal consistency and logical coherence of data flows or generated outputs.
Perform compliance checks against reference materials and knowledge sources provided mainly through the RAG framework.
Identify opportunities to improve the quality, completeness, and consistency of data flows or generated outputs.

The basic business needs are:

To commit to developing an understanding of business goals and operational processes underlying the use case and translating them into effective AI-driven solutions.
To evaluate and validate the generated outputs against defined quality criteria and state-of-the-art assessment frameworks.

Who you are

Master's student in Mathematics, Computer Science, Data Science, or a related field
Ability to conduct literature reviews and select relevant publications
Critical thinking
Team-working ability
Technical expectations
- Understanding of machine learning concepts
- Familiarity with evaluation methods and metrics Natural Language Processing (NLP)
- Programming experience, including working with APIs
- Experience with Open-Source LLMs is a plus
- Familiarity with RAG concepts
- Prompt design

About us

What we offer

Dynamic and innovative work environment
Collaboration with diverse stakeholders
Inclusive and diverse culture
European recognition and impactful projects
Shape the future of the data revolution

What sets us apart
The Luxembourg National Data Service is a modern and dynamic undertaking. We embrace a Lean and Agile mindset, combining the entrepreneurial spirit of a startup with the responsibility of a public body on a national mission. We will be a partner of society and industry, collaborating with a hugely diverse group of stakeholders in public research, public authorities, European institutions, academic and private institutions, and small, medium and large companies. Therefore, we have an international and multilingual character. Even in this rather ambitious context, we preserve a warm and personal atmosphere.
Inclusion and diversity are some of our key values. We ensure that everyone has employment and career opportunities in accordance with their skills and aspirations, respecting and being mindful of their individual characteristics.
Join LNDS and revolutionise the data economy!
Be part of our dynamic team driving innovation and making a tangible impact. Collaborate on cutting-edge projects, gaining European recognition in the prestigious European Data Spaces initiative. Shape a transformative future in the data revolution.

Apply now!

Information for Recruitment Agencies:
LNDS as well as all related entities do not accept any candidate submission from unsolicited third parties. Candidates presented by unsolicited third parties (such as recruitment agencies, head hunters etc.), will not be entered into the recruitment process and will not be considered further. Further on, no contractual relationship will result out of such a submission between LNDS and a third party. LNDS is not obligated nor willing to pay any fee to third parties submitting candidates in this manner. Your data is handled according to the compliance guidelines of LNDS.

Data Processing:
LNDS is proud to be an equal opportunities employer. We are committed to providing equal access to employment opportunities to all prospective employees within the recruitment process. LNDS complies with and supports all national and local laws pertaining to non-discrimination. Please note that LNDS is supported by Serendi for Talent Acquisition Services. As LNDS's Recruitment Process Outsourcing provider, Serendi is exclusively in charge of the above-mentioned position. Your data is handled according to the compliance guidelines of LNDS. Please see the Recruitment Data Privacy Statement for more information. If you have any questions your recruiter will be happy to help. www.serendi.com

Pay Transparency:

The full‑time base salary range for this position is shown at the top of the job advertisement or is discussed with the LNDS Talent Acquisition team early in the process.

The final offer will depend on several factors, including:
• the scope, complexity, responsibilities, and requirements of the role, and
• your individual profile, such as your education or qualifications, expertise, specialisation, skills, and relevant experience.
If you do not meet all the role requirements or if you significantly exceed them, the final salary offered may fall below or above the stated range.
In addition to your base salary, you may also be eligible for other rewards and benefits, including a competitive performance‑based bonus.
Eligibility depends on LNDS policies and the terms outlined in your employment contract.

Key Skills

Machine learningLarge language modelsRetrieval-augmented generationNatural language processingData governanceResearch data managementPrompt designPythonAPI integrationData flow analysisCritical thinkingLiterature reviewTeamworkData science