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Working Student (f/m/d) Advanced Analytics and Artificial Intelligence

Working Student (f/m/d) Advanced Analytics and Artificial Intelligence

Working Student (f/m/d) Advanced Analytics and Artificial Intelligence

Working Student (f/m/d) Advanced Analytics and Artificial Intelligence

Siemens

Industrie und Maschinenbau

München

  • Art der Beschäftigung: Studierende
  • Hybrid
  • Zu den Ersten gehören

Working Student (f/m/d) Advanced Analytics and Artificial Intelligence

Über diesen Job

Working Student (f/m/d) Advanced Analytics and Artificial Intelligence

Job ID
497378
Organization
Advanta
Tätigkeitsbereich
Internal Services
Unternehmen
Arbeitsmodell
Hybrid (Mobiles Arbeiten/ Arbeiten vor Ort)
Vertragsart
Befristet
Standort(e)
  • München - Bayern - Deutschland

Mode of Employment: Fixed Term / Part-Time; (15-20 hours / week)

Ready to shape the future of data analytics and AI? Join us as a Working Student Advanced Analytics and Artificial Intelligence (f/m/d) at Munich and help drive real innovation by working on groundbreaking projects with cutting-edge technologies.

You'll make an impact by

  • You support the conceptual development and execution of advanced analytics and artificial intelligence projects, contributing innovative ideas to our team
  • In close collaboration with team members, you extract, validate, and transform data using cloud-native tools such as Snowflake and Azure, ensuring data quality and accessibility
  • Building on your technical skills, you help develop and maintain data pipelines in cloud environments and assist in applying machine learning algorithms with Python and relevant frameworks
  • Additionally, you contribute to the creation of interactive dashboards and reports, translating complex analytics into actionable insights for stakeholders
  • Throughout your work, you actively participate in workshops and prepare training materials on emerging AI/ML technologies, helping to share knowledge and foster learning within the organization

This is how you'll win us over

  • Education : You are currently successfully studying business informatics, statistics, mathematics, physics, data science, engineering, or a similar field and have completed at least four semesters of your bachelor’s degree or are pursuing a master’s/Ph.D.
  • Experience and Skills :
    • You have practical experience in analytics, data science, software development, or related areas through internships, academic projects, or research
    • You demonstrate proficiency in Python (pandas, numpy, scikit-learn), SQL, and have hands-on experience with cloud data platforms (Snowflake, Azure, AWS)
    • You are familiar with machine learning algorithms, model evaluation and deployment, version control (Git), and collaborative development workflows
  • Ways of Working : You are eager to learn, think analytically, and communicate complex technical concepts to non-technical stakeholders
  • Languages : You have excellent English skills (minimum C1 level); German is an advantage

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 are happy to consider applications from individuals with disabilities.

About Us

Siemens Advanta  is a strategic advisor and trusted implementation partner for digital and sustainability transformations on an enterprise level. Drawing on the Siemens tech stack, Siemens Advanta delivers end-to-end solutions, from strategy and operations consulting to solution architecture and implementation.

By leveraging the power of Siemens businesses and its partners, Siemens Advanta helps customers unlock the full value of Siemens technologies across their entire value chain.

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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