Trainee

Student Data Scientist*

(Working student/ Trainee)

Wiesbaden, Germany

Your contribution

Are you passionate about data, machine learning, and innovation? As a working student in our Machine Learning and Simulation group, you will be part of a dynamic team driving digital transformation and product innovation. You will have the opportunity to contribute to real-world projects, learn from experienced data scientists, and use your work for your bachelor’s or master’s thesis in collaboration with your university.

• Support the development and implementation of innovative solutions in Artificial Intelligence, Data Science, and Machine Learning
• Assist in evaluating new technologies and market trends in data science and lab automation
• Analyze data, build and test machine learning models, and help develop proof-of-concept solutions
• Collaborate with Data Scientists and Software Engineers to gather requirements and feedback
• Present your findings and project results to the team

Your background

We’re not just looking for hard skills: We’re looking for people who bring their passion and talent to work.

• Enrolled in a bachelor’s or master’s program in Computer Science, Data Science, Engineering, Mathematics, or a related technical field
• Knowledge of Python and common data science or machine learning frameworks (e.g., scikit-learn, pandas, TensorFlow, PyTorch)
• Systematic and independent working style, with a curiosity for new technologies
• Eagerness to learn, collaborate, and contribute to innovative projects

What makes working at Tecan unique

• The chance to make it count and to have an impact on the world of tomorrow
• Working in an international and diverse environment
• The chance to grow your career within the company
• Feel empowered by our strong and unique company culture
• Comprehensive compensation and benefits package

Join Tecan, a great place to work! Read about our recent certification from .

We’re looking forward to receiving your application online. Please submit your CV or resume (w/o picture and w/o cover letter, reference letters and diplomas are optional).

Only applications that fully meet our requirements will be considered.

For questions, please contact Lena Weyers:

*We welcome applications from people of all genders.

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