Fraunhofer Institute for Cognitive Systems IKS
Master Thesis in Large-Scale Optimization for Supply Chain Logistics(m/w/x)
Full-timeInternshipOn-site
München, Garching bei München
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EGEGYM
Master's Thesis Candidate - AI & Data Science in SCM(m/w/x)
München
Full-timeInternshipOn-site
AI/ML
Data Science
Nejo AI Summary
Predicting lead-time deviations for electronic components using AI and ERP data. Python/R and SQL proficiency required. Direct mentoring and potential full-time role.
Requirements
- Master's or advanced Bachelor's program enrollment
- High proficiency in Python or R
- Comfort with Pandas and Scikit-Learn libraries
- Solid foundation in SQL
- Pragmatic problem-solving for imperfect data
- Understanding that 'done is better than perfect'
- Analytical strength
- Critical evaluation of third-party software vendors
- Basic understanding of logistics, procurement, or supplier management
Tasks
- Develop a predictive AI model for lead-time deviations
- Apply AI to predict deviations for electronic components
- Improve predictability for complex system suppliers
- Act as an AI scout, evaluating market solutions
- Extract, clean, and structure historical ERP data
- Train a custom machine learning model to predict lead-time deviations
- Research and evaluate commercial AI supply chain solutions
- Assess the fit of AI solutions for the tech stack
- Run your model in parallel with daily operations
- Evaluate AI forecasts against real-world delivery times
- Calculate potential savings from AI-driven predictions
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- Python
- R
- Pandas
- Scikit-Learn
- SQL
Benefits
Mentorship & Coaching
- Direct mentoring
Other Benefits
- Opportunity for full-time role
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of EGYM and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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EGEGYM
Master's Thesis Candidate - AI & Data Science in SCM(m/w/x)
München
Full-timeInternshipOn-site
AI/ML
Data Science
Nejo AI Summary
Predicting lead-time deviations for electronic components using AI and ERP data. Python/R and SQL proficiency required. Direct mentoring and potential full-time role.
Requirements
- Master's or advanced Bachelor's program enrollment
- High proficiency in Python or R
- Comfort with Pandas and Scikit-Learn libraries
- Solid foundation in SQL
- Pragmatic problem-solving for imperfect data
- Understanding that 'done is better than perfect'
- Analytical strength
- Critical evaluation of third-party software vendors
- Basic understanding of logistics, procurement, or supplier management
Tasks
- Develop a predictive AI model for lead-time deviations
- Apply AI to predict deviations for electronic components
- Improve predictability for complex system suppliers
- Act as an AI scout, evaluating market solutions
- Extract, clean, and structure historical ERP data
- Train a custom machine learning model to predict lead-time deviations
- Research and evaluate commercial AI supply chain solutions
- Assess the fit of AI solutions for the tech stack
- Run your model in parallel with daily operations
- Evaluate AI forecasts against real-world delivery times
- Calculate potential savings from AI-driven predictions
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- Python
- R
- Pandas
- Scikit-Learn
- SQL
Benefits
Mentorship & Coaching
- Direct mentoring
Other Benefits
- Opportunity for full-time role
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of EGYM and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
EGYM
Industry
Wellness
Description
EGYM is a global fitness technology leader, providing intelligent workout solutions for fitness and health facilities.
Not a perfect match?
- Fraunhofer Institute for Cognitive Systems IKS
Master Thesis in Large-Scale Optimization for Supply Chain Logistics(m/w/x)
Full-timeInternshipOn-siteMünchen, Garching bei München - Roland Berger
Intern Data Science(m/w/x)
Full-timeInternshipOn-siteMünchen - Huawei Research Center Germany & Austria
Master Thesis Student in Privacy-Enhancing Technologies for Collaborative AI(m/w/x)
Full-timeWorking StudentOn-siteMünchen - Huawei
Master Thesis Student - AI Algorithms for Modem Signal Processing(m/w/x)
Full-timeInternshipOn-siteMünchen - TELEFÓNICA GLOBAL TECHNOLOGY, S.A.
Working Student in Global IT Procurement(m/w/x)
Full-timeWorking StudentOn-siteIsmaning