Data Scientist (M/F/N), Luxembourg

Vous souhaitez poursuivre une carrière dans un domaine passionnant et une entreprise innovante? Creos, membre du groupe Encevo, est constamment à la recherche de talents diversifiés que le groupe s’engage à encadrer et développer en vue de permettre un épanouissement professionnel et personnel.

Travailler pour Creos, c’est travailler pour un employeur engagé et visionnaire, qui joue un rôle actif dans la transition énergétique, en créant des perspectives durables et innovantes tout en veillant aux intérêts de ses collaborateurs et partenaires.

Mission

Are you passionate about data science, machine learning, and cloud technologies? Join our dynamic team and contribute to innovative AI-driven solutions that support data-driven decision-making and business transformation. You will work in an innovative environment at the heart of the energy transition, working closely with business units in grid analytics and innovation.
As a Data Scientist, you will:

• Leverage electrical power system knowledge to develop data-driven and AI-powered solutions for power grid analytics
• Collaborate with cross-functional teams, including business experts and data engineers in the electricity field.
• Use JupyterLab for data exploration, model development, and prototyping of machine learning solutions.
• Design and implement interactive dashboards and visualizations using Grafana.
• Apply 'traditional' (such as ARIMA and SARIMA) and AI-powered (such as RNNs, LSTMs, CNNs) time series analysis techniques to forecast and analyse energy consumption, grid stability, and load demand.
• Research and apply state-of-the-art AI techniques to solve business problems and optimize energy sector operations.
• Ensure data quality, governance, and security within cloud-based infrastructures.

Profile

• Degree in Engineering, Physics, Computer Science, Data Science or related fields.
• At least 2 years of experience in machine learning and data science and analytics.
• Proficiency in using JupyterLab or AWS Sagemaker for interactive data analysis and model development.
• Strong proficiency in Python and experience with libraries such as TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy and Statsmodels.
• Expertise in time series forecasting techniques, such as RNNs, LSTMs and GRUs.
• Knowledge of Grafana (or similar tools) and experience in developing real-time dashboards.
• Hands-on experience with SQL and NoSQL databases for data processing and analysis.
• An understanding of big data technologies, distributed computing, and real-time processing frameworks.
• Familiarity with MLOps practices, CI/CD, and DevOps tools.
• Basic understanding of electricity markets, grid operations or energy analytics.
• Strong problem-solving skills, the ability to work independently and collaboratively, and a proactive communicative mindset.
• Fluency in English; knowledge of French or German is a plus