Synthetic Data & Analytics Intern - Business Solutions (m/f/n)
Creos LuxembourgLuxembourg10 days ago
InternshipOther
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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:
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
Key Skills
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