Synthetic Data

About Us
At Creos, we play a central role in shaping the energy future of Luxembourg. As a Distribution System Operator (DSO), we manage and operate the country's electricity and gas networks — ensuring reliable delivery in a landscape increasingly driven by digitalization, decentralization, and decarbonization.

To support this transformation, our IT Business Solutions department contributes to a company-wide Data & AI Initiative, focused on leveraging data science, machine learning, and AI to enable smarter and safer energy operations.

Your Mission
As a Synthetic Data & Analytics Intern, you'll work at the intersection of data science, analytics, and privacy engineering. Your mission: help design, generate, and evaluate synthetic datasets that enable realistic, GDPR-safe testing and analytics in our energy systems environment.

You'll collaborate with Solution Architects, functional analysts, and IT stakeholders to:

• Build and evaluate synthetic data generation models
• Ensure data quality, consistency, and privacy compliance
• Translate technical findings into clear business insights

• What You'll Do

• Collect, clean, and preprocess structured datasets from internal systems

• Apply data normalization, missing-value handling, and data quality checks
• Perform exploratory data analysis (EDA) to uncover trends and correlations
• Compare synthetic vs. real datasets to assess representativeness and performance
• Document and visualize results through reports and dashboards
• Work closely with business and IT teams to ensure compliance and alignment with corporate goals