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vor 1 Woche


Munich, Deutschland Siemens Mobility Vollzeit

Mode of Employment: Limited; Part time up to 20 hours a week. Develop what will be important tomorrow. How will we travel, communicate, and use energy in the world of tomorrow? Work on the right answers with us. We are looking for bright minds - thinkers with a passion for practical matters. In short, people who can turn their questions and ours into exciting new discoveries. When you join our team as one of our working students, you will find many opportunities to get involved. Seize the chance to be part of our global network, make key contacts, and get your career as well as your personal life on the best track. Our teams are curious to meet you. We make real what matters. This is your role. You work with our personnel data (of course GDPR-compliant) within concrete customer projects. You will support our team in structuring, cleansing and combining internal and external data to derive relevant insights for our customers. You enable the global People and Organization community at Siemens to become increasingly data-driven. Use your skills to move the world forward. You are currently successfully studying for a Master's degree in Data Science, Computer Science, Mathematics, Statistics or in a comparable field of study. You can program in one of the following programming languages: Python, R or SQL. You have already had your first contact with data processing. Experience with dashboarding tools such as Power BI or Tableau is desirable, but not a requirement. You have a very good knowledge of English, knowledge of German is an advantage. Make your mark in our exciting world at Siemens. www.siemens.de if you wish to find out more about Siemens before applying. Do you have questions about the application? Here you will find answers to frequently asked questions. If you have more questions please contact: www.siemens.de/fragenzurbewerbung www.siemens.com/careers if you would like to find out more about jobs & careers at Siemens. As an equal-opportunity employer we are happy to consider applications from individuals with disabilities. Organization: People & Organization Company: Siemens AG Experience Level: Student (Not Yet Graduated) Full / Part time: Part-time


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