Mode of Employment: Limited, 15-20 hours/week

You'll make an impact by

• You support the extraction and aggregation of environmental data from various sources, including APIs, databases, and PDF documents, by developing and implementing automated data collection workflows
• Building on this, you contribute to the development and training of machine learning models for pattern recognition, taking part in feature engineering, model selection, and validation tasks
• Subsequently, you assist in deploying and maintaining ML models in production environments to ensure continuous data quality and availability
• To visualize your findings effectively, you help create interactive dashboards and automated reporting solutions using PowerBI or similar tools
• Throughout all tasks, you collaborate closely with the team to identify new data sources and optimize existing analytics processes

This is how you'll win us over

• Education: You are currently enrolled in a Master’s program in Computer Science, Data Science, Artificial Intelligence, or a closely related technical field and have at least one year left until graduation
• Experience and Skills:
  • Advanced programming skills in Python, with proficiency in ML frameworks such as scikit-learn, TensorFlow, or PyTorch
  • Hands-on experience in data extraction from APIs and PDF documents, as well as data manipulation using tools like Pandas and NumPy
  • Experience in creating interactive dashboards and business intelligence solutions using PowerBI; knowledge of Tableau, Matplotlib, or Plotly is a plus
  • Familiarity with natural language processing libraries such as NLTK, spaCy, or Transformers
  • Strong analytical and problem-solving skills
• Ways of Working: You are highly self-motivated, proactive, and able to work independently, demonstrating strong problem-solving and analytical abilities
• Languages: Excellent written and verbal communication skills in 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!

Your individual personality and perspective are important to us. We create a working environment that reflects the diversity of the society and support you in your personal and professional development. Let’s get to know your authentic personality and create a better future together with us. As an equal-opportunity employer we are happy to consider applications from individuals with disabilities.

About us

Join our team and help shape the future of communication, energy efficiency, and mobility! We are looking for dedicated working students who can put theories into practice and think creatively.

Take the opportunity to contribute to our global network, make valuable connections, and lay the foundation for your professional and personal future.

We look forward to your talent!

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 more questions please contact: www.siemens.de/fragenzurbewerbung

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