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

Intern / Student, Full-time · Germany, Munich

Your daily workout

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.

Data Preparation & Modeling (Hands-on): You will 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: You will 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: You will calculate the potential savings in shipment, working capital, and production downtime generated by AI-driven predictions

Your fitness level

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 (or R), comfortable with libraries like Pandas and Scikit-Learn, and have a solid foundation in SQL
Mindset: "Done is better than perfect." You understand that real-world ERP data is never 100% clean, and you enjoy finding pragmatic solutions for imperfect data sets rather than getting lost in theory
You are analytically strong and can critically evaluate third-party software vendors.
Experience: Ideally, you have a basic understanding of logistics, procurement processes, or supplier management (not mandatory, we will provide the business mentoring)

The equipment we provide

Real Impact: No theoretical projects destined for a drawer.
Your code and software evaluations will build the foundation for our future AI strategy in SCM
Direct Mentoring: Close collaboration and sparring with our SCM leadership
Perspective: The opportunity for a seamless transition into a full-time role upon successful completion of the PoC and your studies

Contact Information

Upload your documents (CV, certificates, start date and certificate of enrollment) and specify the job ID #1932.

Contact: Liska Kürten

For further information: https://career.egym.com

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About us

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EGYM is a global fitness technology leader, providing fitness and health facilities with intelligent workout solutions. EGYM makes exercising smarter and more efficient with its comprehensive suite of connected gym equipment and digital products that integrate seamlessly with 3rd-party-hard- and software. The result is a fully connected training experience that drives measurable business and health outcomes on and off the training floor.

EGYM also offers subscription-based corporate fitness- and wellness solutions built on a combination of gym-access and EGYM fitness programs that directly target costly chronic conditions and boost employee health, leading to higher productivity and well-being.

EGYM's global headquarters are in Munich, Germany, with North American offices in Denver, Colorado.

EGYM is an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs, regardless of race, gender, religion, sexual orientation, age or any other aspect of an individual's identity.

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Thank you for your interest in EGYM. To complete your application, please fill in the following short form and upload your documents. Should there be any difficulties, please send us an e-mail to jobs@egym.com.

We look forward to getting to know you!