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Working Student (f/m/d) Support Data & Analytics

Über diesen Job

Working Student (f/m/d) Support Data & Analytics

Job ID
496703
Organization
Xcelerator
Tätigkeitsbereich
Internal Services
Unternehmen
Arbeitsmodell
Hybrid (Mobiles Arbeiten/ Arbeiten vor Ort)
Vertragsart
Befristet
Standort(e)
  • Erlangen - Bayern - Deutschland
  • München - Bayern - Deutschland

Mode of Employment: Fixed Term / 15-20 hours/week

Join our Xcelerator Digital Experience team in Erlangen or Munich as a Working Student Support Data & Analytics (f/m/d) and dive into the world of data-driven innovation - here, your ideas and skills help shape tomorrow’s digital solutions. Ready to collaborate internationally, explore AI, and make a real impact?

You'll make an impact by

  • You support the team in organizing and analyzing large datasets, ensuring that relevant information is efficiently processed and made available to internal stakeholders
  • Additionally, you assist in maintaining and updating data products within the Siemens Data Cloud, contributing to the smooth functioning of our data infrastructure
  • By collaborating with project teams, you help develop AI-based models and document progress and results using Jira
  • Furthermore, you prepare data analyses and visualizations, which you use to create clear and impactful presentations for various audiences
  • Throughout your activities, you coordinate with stakeholders to understand their requirements and provide tailored solutions

This is how you'll win us over

  • Education : You are currently enrolled in a degree program in computer science, data science, mathematics, statistics, physics, or a related field
  • Experience and Skills :
    • You enjoy working with large datasets and have a strong technical understanding, especially in applied AI and software development
    • You are proficient in programming languages such as Python, SQL, and PowerShell, and have experience with DevOps tools like Git, Azure DevOps, and GitHub
    • You are skilled in data analysis and visualization using Power BI, MS Excel, and statistical methods, and have experience with machine learning frameworks such as PyTorch and Scikit-learn
  • Ways of Working : You work independently, demonstrate flexibility, and are a strong team player
  • Languages : You are fluent in both German and English

You are much more than your qualifications, and we believe in the potential of every single candidate. We look forward to getting to know you!

At Siemens, we believe that feeling valued and included is the foundation for doing great work. That’s why we aim to create an inclusive workplace where everyone feels a sense of belonging, and where individual perspectives and experiences are celebrated. Our commitment to fairness and respect extends to every applicant.

As an equal opportunity employer , we welcome applications from individuals of all backgrounds and particularly encourage applications from persons with disabilities. I

About Us

The world never stands still. And new challenges arise every day. With a passion for questioning things, for supplying ideas, and intelligently driving things forward we are helping society move towards a smarter tomorrow. Be it with technologies that reduce carbon emissions in cities or hyperintelligent robots. This is how we are able, to tackle the most important projects and push them forward together. Help us shape the future.

www.siemens.de/careers – if you would like to find out more about jobs & careers at Siemens.

FAQ – if you need further information on the application process.

If you have any further questions, please feel free to contact us: www.siemens.de/fragenzurbewerbung

#sagworkingstudent

Unternehmens-Details

company logo

Siemens

Industrie und Maschinenbau

10.001 oder mehr Mitarbeitende

München, Deutschland

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