Master's Thesis Candidate - AI & Data Science in SCM (m/f/d) in München

About Us

We are looking for a bright mind to build our very first Machine Learning Proof of Concept (PoC) in SCM. You will develop a predictive AI model that anticipates lead-time deviations before they happen. This applies not only to our critical electronic components (e.g., from Asia) but also aims to improve the predictability of our complex system suppliers (Systemlieferanten).

Additionally, you will act as our AI scout, evaluating existing market solutions. You will work directly with our Supply Chain Management Leadership and pioneer our data strategy.

What You'll Do

Data Preparation & Modeling (Hands-on)

• Extract, clean, and structure historical data from our ERP system and train a custom machine learning model (e.g., in Python) to identify patterns and predict lead-time deviations across both component suppliers and system-level partners

Market Scouting & Tool Evaluation

• "Make or Buy?" Alongside your custom model, you will research and evaluate commercially available AI supply chain solutions (from ERP add-ons to specialized predictive software) to assess their fit for EGYM's long-term tech stack

Shadow-Mode Testing

• Run your model in parallel with our daily operations, evaluating your AI forecasts against real-world delivery times and the estimates from our Business Management, Service, and disposition teams

Business Case Calculation

• Calculate the potential savings in shipment, working capital, and production downtime generated by AI-driven predictions

What We're Looking For

Academic Background

• You are currently enrolled in a Master's or advanced Bachelor's program in Data Science, Information Systems, Supply Chain Engineering, or a related field

Tech Stack

• You are highly proficient in Python.
• You have experience with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• You have a strong understanding of supply chain principles.
• You are familiar with data extraction and cleaning techniques.
• You possess excellent analytical and problem-solving skills.
• You have strong communication and presentation skills.