- 埃朗根 - - 德国
Working Student (f/m/d) Unified Agentic Platform
Mode of Employment: Fixed Term / 15h/Week
Then come and join our global team as Working Student (f/m/d) to support us in the field Unified Agentic Platform (UAP).
Choose the best place for your work – Within the scope of this position, it is possible, in consultation with your manager, to work mobile (within Germany) up to an average volume of 60% of the respective working hours.
Your tasks and responsibilities:
- You will help analyse platform usage and examine data using Python (pandas, NumPy), transforming it into clear, meaningful data stories that support decision-making
- You will assist in the development and creation of interactive visualisations and dashboards – preferably using Plotly – to make insights from the UAP project easy to understand
- You will contribute to research into AI and agent-based platforms, tools and market trends, and summarise the findings in well-structured reports
- You will also help create presentations and documentation that make complex findings accessible to both technical and non-technical audiences – thereby ensuring that our knowledge base remains transparent, reproducible and scalable
To find out more about the specific business, have a look at https://www.siemens-healthineers.com/products-services
Your qualifications and experience:
- You are studying in Artificial Intelligence, Computer Science or a related subject and at least for one year available
- You have a good knowledge of programming in Python and common data and analytics frameworks (e.g. pandas and NumPy)
- Ideally you have experience in creating data visualisations in Python, preferably using Plotly (matplotlib or seaborn would be an advantage)
- You have a good understanding of data analysis methods and a talent for turning data into a story
- You have a good understanding of data and AI platforms; practical experience would be an added bonus
- Experience with agile working methods (e.g. SCRUM) is an advantage
- You have some research experience (e.g. academic projects, dissertations or work as a student trainee or intern)
Your attributes and skills:
- You have a very good command of written and spoken English; German is an advantage
- You are passionate about automating manual workflows
- You are interested in the latest innovations in the field of artificial intelligence and machine learning
- You combine technical knowledge with strong communication skills
- You work independently and reliably, and collaborate with your team members to understand the requirements and specifications to be implemented
- You possess analytical problem-solving skills? Then we look forward to receiving your application!
Our global team:
Siemens Healthineers is a leading global medical technology company. 74,000 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.
As an equal opportunity employer, we welcome applications from individuals with disabilities.
Wish to find out more before applying? Contact us:
We care about your data privacy and take compliance with GDPR as well as other data protection legislation seriously. For this reason, we ask you not to send us your CV or resume by email. We ask instead that you create a profile in our talent community where you can upload your CV. Setting up a profile lets us know you are interested in career opportunities with us and makes it easy for us to send you an alert when relevant positions become open. Click here to get started.
To all recruitment agencies:
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.