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SISiemens AG

Working Student Advanced Analytics and Artificial Intelligence(m/w/x)

München
Part-timeWorking StudentWith Home Office
AI/ML
Data Science
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Data extraction and machine learning model deployment using Snowflake and Azure for industrial digital transformations. Proficiency in Python, SQL, and cloud data platforms required. Hybrid work model with flexible hours for students.

Requirements

  • Studies in business informatics, statistics, mathematics, physics, data science, engineering, or similar field
  • Completion of four bachelor semesters or pursuit of master’s/Ph.D.
  • Practical experience in analytics, data science, software development, or related areas
  • Proficiency in Python, SQL, and cloud data platforms
  • Familiarity with machine learning, model evaluation, deployment, and Git
  • Willingness to learn and analytical thinking
  • Ability to communicate complex technical concepts
  • Excellent English skills (minimum C1 level)
  • German language skills as an advantage

Tasks

  • Support conceptual development of analytics and AI projects
  • Execute advanced analytics and AI projects
  • Extract, validate, and transform data
  • Use cloud-native tools like Snowflake and Azure
  • Ensure data quality and accessibility
  • Develop and maintain cloud-based data pipelines
  • Apply machine learning algorithms using Python
  • Create interactive dashboards and reports
  • Translate complex analytics into actionable insights
  • Participate in workshops on AI/ML technologies
  • Prepare training materials on emerging technologies
  • Share knowledge and foster organizational learning

Education

  • Currently in higher educationOR
  • Bachelor's degreeOR
  • Master's degree

Languages

  • English – Business Fluent
  • German – Basic

Tools & Technologies

  • Python
  • pandas
  • numpy
  • scikit-learn
  • SQL
  • Snowflake
  • Azure
  • AWS
  • Git

Benefits

Flexible Working

  • Hybrid work

Informal Culture

  • Inclusive workplace
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Siemens AG 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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