Internship: Driving AI & Data Analytics in Supply Chain Management (f/m/div)
Infineon
Apply to this jobJob Description
- Take responsibility: You contribute on AI use cases in supply chain management by leveraging our Infineon AI tool to develop, implement, and optimize solutions
- Data is everything: You conduct data analysis, including data preparation, exploration, and visualization, to identify trends, patterns, and opportunities for improvement in supply chain processes
- Shape the future: You collaborate on designing, testing, and deploying machine learning models
tailored to real-world supply chain challenges - Keep the overview: You document key findings, workflows, and results to promote efficient knowledge sharing and foster collaboration within the organization
- Creative mindset: You generate innovative ideas to enhance operational efficiency and decision-making through AI and data analytics
Your Profile
- Study field: You are currently pursuing a degree in (Business) Informatics, Data Science, Computer Science, Industrial Engineering, or a related technical field
- Experience: You have hands-on experience with data analytics tools and platforms, with a foundational understanding of machine learning concepts and their application to solve real-world challenges
- Skills: You are proficient in data analysis and programming languages such as Python, R, or SQL
- Personality: You are a motivated team player with strong problem-solving skills and attention to detail
- Way of working: You work proactively, with the ability to self-organize and structure your work
- Language skills: You have excellent English communication skills, and proficiency in German is an added advantage
- Availability: You are interested in a collaboration of 4-6 months
- CV in English
- Certificate of enrollment at university
- Excerpt of the study regulations for the mandatory internship (if applicable)
- Latest grades transcript (not older than 6 months)
- High school report
Contact:
Lina-Marie Minuth
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#WeAreIn for driving decarbonization and digitalization.
As a global leader in semiconductor solutions in power systems and IoT, Infineon enables game-changing solutions for green and efficient energy, clean and safe mobility, as well as smart and secure IoT. Together, we drive innovation and customer success, while caring for our people and empowering them to reach ambitious goals. Be a part of making life easier, safer and greener.
Are you in?
– Automotive (ATV) shapes the future of mobility with microelectronics enabling clean, safe, and smart cars –
The ATV division is shaping the future of mobility by enabling clean, safe, and smart cars. Its product and solution offering is powering the decarbonization and digitalization of vehicles. By driving the transition to hybrid and purely electric vehicles, ATV is making a valuable contribution to cleaner roads. ATV is also increasingly digitalizing cockpit, infotainment, comfort, and lighting applications as it takes automated driving to the next stage with higher levels of connectivity, security, and safety.
The ATV portfolio integrates sensors, microcontrollers, high-performance memories for specific applications, power semiconductors based on silicon and silicon carbide, as well as components for human-machine interaction and vehicle connectivity. Infineon is the world leader in automotive semiconductors.
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This means we embrace diversity and inclusion and welcome everyone for who they are. At Infineon, we offer a working environment characterized by trust, openness, respect and tolerance and are committed to give all applicants and employees equal opportunities. We base our recruiting decisions on the applicant´s experience and skills. Learn more about our various contact channels.
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Summary
Support AI-driven use cases and conduct data analysis in supply chain.
Job title
Internship: Driving AI & Data Analytics in Supply Chain Management (f/m/div)
Experience level
entry level
Industry
semiconductors
Location requirements
Located in Munich, remote work not allowed.
Salary
Not specified
Visa sponsorship
H-1B sponsor history
Management role
No
Required skills
Preferred skills
Specializations
Structured locations inferred from the posting.
Munich, Germany