Working Student (f/m/d) Data Science
15.07.2025
Siemens AG
Forchheim
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15.07.2025, Siemens AG
Forchheim
Working Student (f/m/d) Data Science
Über uns:
Do you want to help create the future of healthcare? Our name, Siemens Healthineers, was selected to honor our people who dedicate their energy and passion to this cause. It reflects their pioneering spirit combined with our long history of engineering in the ever-evolving healthcare industry.
Our global team:
Siemens Healthineers is a leading global medical technology company. 73,000 dedicated colleagues in over 75 countries are driven to shape the future of healthcare. An estimated 5 million patients across the globe benefit every day from our innovative technologies and services in the areas of diagnostic and therapeutic imaging, laboratory diagnostics and molecular medicine, as well as digital health and enterprise services.
Our culture:
Our culture embraces different perspectives, open debate, and the will to challenge convention. Change is a constant aspect of our work. We aspire to lead the change in our industry rather than just react to it. That's why we invite you to take on new challenges, test your ideas, and celebrate success.
Siemens Healthineers' recruitment is internally managed, with external support permitted only when a qualified supplier has established a formal contract with us. Unsolicited candidate submissions and referrals, absent a current supplier contract, do not establish consent and are ineligible for fees. We delete and destroy unsolicited information, thus, would recommend you refrain from any such practices. Your adherence to our policies is appreciated.
Siemens Healthineers Germany was awarded the Great Place to Work® certificate.
Aufgaben:
- You help to cleanse and pre-process structured and unstructured data sets so that they are optimally prepared for various forms of analysis - such as statistical methods or LLM-based evaluations
- With your expertise in statistical methods, automated machine learning and modern AI techniques, you support the automation of data pre-processing, analysis and visualization
- You support the development of tools and dashboards that enable advanced automated data analysis and contribute your ideas to scalable solutions
- You evaluate and benchmark different approaches in terms of usability, performance and scalability and help to establish best practices for automated data analysis processes
- In close cooperation with scientists, developers and product teams, you will contribute your knowledge to actively accompany and provide technical support for AI-driven projects
Qualifikationen:
- You are studying at your Bachelor's degree or at the beginning of your Master's program in computer science, data science, AI, machine learning or are enrolled in a related field
- You are at least for one year available
- You have good knowledge of Python; experience with other programming languages is a plus
- You have a good understanding of data analysis workflows, including data pre-processing, visualization and machine learning techniques
- You have some knowledge of machine learning libraries and tools (e.g. scikit-learn, TensorFlow, PyTorch, PyCaret) and have a basic understanding of LLMs, embeddings, transformers and generative models (text generation, summarization, etc.)
- You have a very good command of written and spoken English
- You think analytically and approach challenges in a structured and solution-oriented manner - with a flair for detail
- You communicate clearly and respectfully and work as confidently in a team as you do independently
- With your motivation and curiosity, you help others to understand and apply new tools and concepts in the field of automated data analysis
- Does that sound like you? Then we look forward to receiving your application!
Unser Kontakt:
Check our Careers Site at https://www.siemens-healthineers.com/de/careers
Students.func@siemens-healthineers.com ,
If you wish to discuss any initial questions with our recruitment team.
Weitere Informationen:
As an equal opportunity employer, we welcome applications from individuals with disabilities.
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