Since 1991, we have been empowering our clients with well-founded advice and innovative solutions to meet their information needs, now and in the future. Whether it's compiling, processing, analysing, and disseminating quantitative and qualitative information, assisting our clients in maximising the efficiency and impact of their projects, programs, or organisation, or helping organizations enhance their capabilities through modern training solutions, you can trust our experienced and dynamic team to develop reliable and sustainable solutions.

Artemis' multidisciplinary and multilingual team (www.artemis.lu) is not just a local partner in Luxembourg, but a collaborative force across Europe and beyond, supporting our clients across every corner of the globe. Over 80% of our accomplishments stem from our permanent staff, fortified as needed by our expansive international network of highly specialised experts and partners. Our employees and consultants can work for different projects, tools and methodologies.

For its “Data Science” department, Artemis is currently looking for a Senior Statistician / Data Scientist* (as fixed-term contract employee or independent expert) fluent in English to join our team and contribute to high-impact projects in the field of environmental and economic statistics.

📅 Start Date: November 2025

📅 Candidature deadline: 11/10/2025

Your challenge / your responsibilities

• Design, develop, and deliver robust and replicable R scripts to implement defined methodologies;
• Build and maintain tools for data validation and visualisation, including PowerBI dashboards, enabling stakeholders to cross-check and review the data;
• Draft document methods, describe assumptions, and processes to ensure transparency, reproducibility, and transferability for future extensions;
• Collaborate with our client and to present methodologies results and solutions in working groups;
• Ensure high-quality deliverables.

Your profile

• Completed education of at least ISCED level 7 (Master degree or equivalent) in statistics or economics;
• Minimum of 5 years' professional experience in official statistics or related domains;
• Experience in data management and/or data validation within statistical domains such as energy, environment, agriculture, transport, or similar
• Proven expertise in R programming and data science, with experience in writing reproducible and well-documented code;
• Strong knowledge of data visualisation tools such as PowerBI;
• Experience with Input-Output tables and/or environmental statistics is a strong asset;
• Excellent drafting and reporting skills;
• Strong communication skills in English (both written and oral);
• Demonstrated ability to work autonomously and deliver high-quality outputs under tight deadlines.
• Strong attention to detail, rigor, and organisational skills.

Why join us ?

• Embrace the opportunity to work in an international and multicultural environment.
• Collaborate with a team possessing diverse skill sets, fostering a friendly and supportive work environment.
• Contribute to high-impact statistical projects shaping European data infrastructure.
• Access numerous learning opportunities and be encouraged to innovate and explore your curiosity within the organisation.
• Benefit from flexible work hours and the option to telework, ensuring a balance between work and personal commitments.

As a Senior Statistician / Data Scientist, you will play a pivotal role in implementing methodologies, ensuring robust coding, reliable validation, and clear documentation that will support the production of high-quality environmental and economic statistics.

If you are passionate about advancing statistical methods for sustainability and are looking for a challenging role where your expertise can make a difference, we invite you to apply for this position. Join us in making a meaningful impact on Europe’s statistical landscape.

To apply, please submit your resume detailing your relevant experience either to [email protected] specifying that you are applying for the position of “Senior Statistician / Data Scientist – Environment” or directly via LinkedIn.

*Only candidates eligible to work in Luxembourg will be selected.