SAP
Masterarbeits-Student im Supply Chain Management Data Science(m/w/x)
Full-timeWorking StudentWith Homeoffice
Garching bei München
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SASAP
Master Thesis Student - Supply Chain Management Data Science on Agentic AI(m/w/x)
Garching bei München
Full-timeWorking StudentWith Home Office
AI/ML
Data Science
Nejo AI Summary
Evaluating autonomous multi-agent systems for supply chain analysis, navigating SAP schemas for planning assistance at a global business software provider. Very strong programming skills and ML/AI frameworks experience required. Flexible working models available.
Requirements
- Student at university or applied sciences
- Preferred study in STEM-related fields
- Very strong programming skills
- Experience with ML, AI frameworks, tools
- Fluency in English and German
- Interest in applied research and innovation
- Teamwork skills
- Creativity
- Strong communication skills
Tasks
- Evaluate autonomous multi-agent systems for supply chain analysis
- Develop a benchmark dataset of complex supply chain scenarios
- Perform multi-step SQL queries and SAP schema navigation
- Assess agentic systems' capability for intelligent planning assistance
- Abstract technical complexity for supply chain end users
- Utilize or adapt existing open-source datasets for benchmarking
Education
- Currently in higher educationOR
- Bachelor's degree
Languages
- English – Business Fluent
- German – Business Fluent
Tools & Technologies
- ML concepts
- AI frameworks
Benefits
Learning & Development
- Constant learning
- Skill growth
Informal Culture
- Culture of inclusion
Healthcare & Fitness
- Focus on health and well-being
Flexible Working
- Flexible working models
Ergonomic Workplace
- Accessibility accommodations
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of SAP 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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SASAP
Master Thesis Student - Supply Chain Management Data Science on Agentic AI(m/w/x)
Garching bei München
Full-timeWorking StudentWith Home Office
AI/ML
Data Science
Nejo AI Summary
Evaluating autonomous multi-agent systems for supply chain analysis, navigating SAP schemas for planning assistance at a global business software provider. Very strong programming skills and ML/AI frameworks experience required. Flexible working models available.
Requirements
- Student at university or applied sciences
- Preferred study in STEM-related fields
- Very strong programming skills
- Experience with ML, AI frameworks, tools
- Fluency in English and German
- Interest in applied research and innovation
- Teamwork skills
- Creativity
- Strong communication skills
Tasks
- Evaluate autonomous multi-agent systems for supply chain analysis
- Develop a benchmark dataset of complex supply chain scenarios
- Perform multi-step SQL queries and SAP schema navigation
- Assess agentic systems' capability for intelligent planning assistance
- Abstract technical complexity for supply chain end users
- Utilize or adapt existing open-source datasets for benchmarking
Education
- Currently in higher educationOR
- Bachelor's degree
Languages
- English – Business Fluent
- German – Business Fluent
Tools & Technologies
- ML concepts
- AI frameworks
Benefits
Learning & Development
- Constant learning
- Skill growth
Informal Culture
- Culture of inclusion
Healthcare & Fitness
- Focus on health and well-being
Flexible Working
- Flexible working models
Ergonomic Workplace
- Accessibility accommodations
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of SAP 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
SAP
Industry
IT
Description
SAP innovations help over four hundred thousand customers worldwide work together more efficiently and use business insight more effectively.
Not a perfect match?
- SAP
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