Permanent contract | Belval
Are you passionate about research? So are we! Come and join us
The Luxembourg Institute of Science and Technology (LIST) is a Research and Technology Organization (RTO) active in the fields of materials, environment and IT. By transforming scientific knowledge into technologies, smart data and tools, LIST empowers citizens in their choices, public authorities in their decisions and businesses in their strategies.
Do you want to know more about LIST? Check our website: https://www.list.lu/
The AIRA Research Group, part of the Human-centered AI, Data and Software (HANDS) research unit, focuses on assessing and enabling trustworthy AI adoption through methods and tools for compliance, readiness, and performance evaluation.
How will you contribute?
We are seeking a highly motivated and experienced Data Scientist / Machine Learning Engineer to join our team and lead projects in predictive modeling, data analytics, and AI-driven decision support.
In this role, you will be responsible for developing and deploying advanced machine learning models and data solutions to tackle complex problems across various domains.
You will work closely with domain experts, software engineers, and other stakeholders to understand challenges, design data-driven approaches, and deliver impactful solutions, ideally embedding them into AI-enabled Digital Twins.
This position requires strong technical expertise, hands-on experience in building scalable models, and the ability to communicate insights effectively.
You will play a key role in shaping our data science strategy and driving innovation across our portfolio of RDI projects.
Main Responsibilities
Design, build, and maintain scalable and reliable machine learning infrastructure.
Automate and optimize the deployment, monitoring, and scaling of ML models in production environments.
Develop and maintain model versioning, monitoring, and governance frameworks, sticking to best practices in the field.
Optimize cloud and on-premise resources for cost-effective and high-performance ML operations.
Troubleshoot issues related to ML model performance, deployment, and infrastructure.
Lead the design, development, and deployment of predictive models and machine learning solutions for various internal and external projects.
Collaborate with cross-functional teams to understand business needs and translate them into data-driven solutions.
Manage end-to-end ML pipelines and CI/CD pipelines for ML.: data collection, preprocessing, model development, evaluation, deployment, and monitoring.
Analyze large datasets to extract actionable insights and support decision-making processes.
Communicate complex technical results in a clear and compelling way to non-technical stakeholders, exploiting all the possibilities of data storytelling
Stay up to date with state-of-the-art methodologies in machine learning, AI, and data analytics.
Contribute to the strategic roadmap for data and AI-driven innovation within the research group and LIST.
Support project planning, execution, and reporting within collaborative RDI projects.
Write technical documentation, research reports, and contribute to scientific dissemination (e.g., conferences, workshops, whitepapers).
Participate in the preparation of proposals for national and EU-funded projects.
Engage with industrial and academic partners to co-design and deliver demonstrators.
Collaborate with data scientists, software engineers, and DevOps teams to streamline AI/ML workflows
Is Your profile described below? Are you our future colleague? Apply now!
Required Qualifications
Master’s or PhD in Computer Science, Data Science, Statistics, Applied Mathematics, or a related field.
Strong understanding of statistics, machine learning algorithms, and data preprocessing techniques.
Proven experience in building and deploying machine learning models in production environments.
Experience in time-series forecasting, anomaly detection, classification, clustering, or NLP, with concrete application use-cases
Strong programming skills in Python (e.g. Pandas, Scikit-learn, PyTorch, TensorFlow) and experience with SQL.
Experience with cloud platforms (e.g. AWS, Azure, GCP) and ML model deployment tools (e.g. Docker, Mlflow; Kubernetes).
Knowledge of data visualization tools (e.g. Power BI, Tableau, Plotly, Dash).
Demonstrated ability to lead projects and work independently as well as collaboratively in a team setting.
Preferred Skills
Experience contributing to EU-funded research projects (e.g., Horizon Europe, DIGITAL, DEP).
Experience with feature stores and model registries (MLflow, Feast, Kubeflow).
Knowledge of advanced ML model serving frameworks (TorchServe, TensorFlow Serving, Triton Inference Server).
Exposure to data engineering tools (Apache Spark, Kafka, Airflow).
Experience with MLOps, model deployment, or scalable data pipelines.
Understanding of ethical AI principles, explainability, and regulatory compliance (e.g. AI Act, GDPR).
Interest or experience in standards, auditing, or certification frameworks for AI.
Experience working in a research and technology organization, industrial R&D, or cross-disciplinary innovation teams.
Excellent communication skills and the ability to mentor junior team members.
Your LIST benefits
An organization with a passion for impact and strong RDI partnerships in Luxembourg and Europe that works on responsible and independent research projects
Sustainable by design, empowering our belief that we play an essential role in paving the way to a green society
Innovative infrastructures and exceptional labs occupying more than 5,000 square metres, including innovations in all that we do
An environment encouraging curiosity, innovation and entrepreneurship in all areas
Personalized learning programme to foster our staff’s soft and technical skills
Multicultural and international work environment with more than 50 nationalities represented in our workforce
Diverse and inclusive work environment empowering our people to fulfil their personal and professional ambitions
Gender-friendly environment with multiple actions to attract, develop and retain women in science
32 days’ paid annual leave, 11 public holidays, 13-month salary, statutory health insurance
Flexible working hours, home working policy and access to lunch vouchers
Apply online
Your application must include:
A motivation letter oriented towards the position and detailing your experience
A CV with contact details
List of publications (and patents, if applicable)
Contact details of 2 references
Please apply ONLINE formally through the HR system. Applications by email will not be considered.
Application procedure and conditions
We kindly request applicants to provide their nationality for statistical purposes only, as part of our commitment to promoting diversity and ensuring equal opportunities in our workforce. This information will be kept confidential and will not be used for any discriminatory purposes.
LIST is dedicated to maintaining an inclusive work environment and is an equal opportunity employer. We are committed to attracting, hiring, and retaining a diverse workforce. All applicants will be considered for employment without discrimination based on national origin, race, colour, gender, sexual orientation, gender identity, marital status, religion, age, or disability.
Applications will be continuously reviewed until the position is filled. An assessment committee will thoroughly evaluate applications, adhering to guidelines designed to ensure equal opportunities. The primary criteria for selection will be the alignment of the applicant's existing skills and expertise with the requirements mentioned above.