Synthetic Data & Analytics Intern - Business Solutions (m/f/n), Merl

Tasks

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

Profile

• Pursuing a Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, or a related field
• Strong skills in Python (pandas, NumPy, matplotlib, etc.) for data manipulation and visualization
• Basic understanding of machine learning and deep learning (e.g., regression, classification, generative models)
• Knowledge of data profiling, statistical analysis, and data pipeline concepts
• Familiarity with synthetic data generation tools or cloud/MLOps environments (AWS, SageMaker) is a plus
• Excellent communication skills — you can explain technical findings to non-technical audiences
• Analytical, proactive, and comfortable working in cross-functional teams