Mode of Employment : Fixed Term / 15h/Week
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.
We offer you a flexible and dynamic environment with opportunities to go beyond your comfort zone in order to grow personally and professionally. Sound interesting?

Then come and join our global team as  a working student (f/m/d) in the field of data science.

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 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

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 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.)

Your attributes and skills:

• 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!

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.

Check our Careers Site at https://www.siemens-healthineers.com/de/careers
As an equal opportunity employer, we welcome applications from individuals with disabilities. #myabilityshs

Wish to find out more before applying? Contact us: students.func@siemens-healthineers.com, if you wish to discuss any initial questions with our recruitment team.

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.