Requirements: English
Company: Creos
Region: luxembourg, luxembourg ,
Data Scientist (m/f/n)
Department:IT |Location:Luxembourg |Contract:Permanent |Job Requisition N19524
Your 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.
Your 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
What we offer
- The opportunity to work on cutting-edge AI and machine learning projects in a cloud-based environment.
- A multicultural and international work environment that fosters diversity and innovation.
- A key role in an innovative team driving the energy transition, supporting grid analytics and energy sector transformation.
- A competitive salary with additional benefits (e.g. pension plan, additional health insurance, free parking, company restaurant, meal vouchers, etc.)
- Continuous learning and career development opportunities, including training and certifications in AI, cloud computing, and data science.
- A hybrid working model, including the option to work remotely and 34 days of paid leave per year.
External applications, a recent copy of the police record will be requested if you are invited for an interview.
If you are eager to develop your cloud expertise and make an impact in the energy sector, we encourage you to apply.