Are you ready to dive into the exciting world of data science If youre passionate about data eager to learn and ready to make an impact this is the perfect opportunity for you.
- As our working student you will work with an international team of data scientists data engineers data analysts and sensor experts on innovative development projects.
- You will harness the power of machine learning techniques to analyze large and complex data sets.
- In addition you will develop software and GenAI-based solutions for automation turning ideas into practical tools that support our engineering workflows.
- Last but not least you will have the opportunity to present your findings to a diverse team collaborating with talented individuals from around the globe.
Qualifications :
- Education: studies in the field of Data Science Informatics Physics Mathematics Mechanical Engineering or comparable
- Experience and Knowledge: in Python GenAI software development and Machine Learning
- Personality and Working Practice: you quickly grasp complex technical concepts eagerly seek new knowledge and maintain a high level of motivation to excel in your tasks
- Work Routine: on-site presence is required
- Languages: very good in English
Additional Information :
Start: according to prior agreement
Duration: 6 months 10 h/week (extension possible)
Requirement for this working student position is the enrollment at university. Please attach your CV transcript of records enrollment certificate and if indicated a valid work and residence permit.
Diversity and inclusion are not just trends for us but are firmly anchored in our corporate culture. Therefore we welcome all applications regardless of gender age disability religion ethnic origin or sexual identity.
Need further information about the job
Vitaliy Kondrashov (Functional Department)
49
Work #LikeABosch starts here: Apply now!
#LI-DNI
Remote Work :
No
Employment Type :
Part-time
Are you ready to dive into the exciting world of data science If youre passionate about data eager to learn and ready to make an impact this is the perfect opportunity for you.As our working student you will work with an international team of data scientists data engineers data analysts and sensor e...
Are you ready to dive into the exciting world of data science If youre passionate about data eager to learn and ready to make an impact this is the perfect opportunity for you.
- As our working student you will work with an international team of data scientists data engineers data analysts and sensor experts on innovative development projects.
- You will harness the power of machine learning techniques to analyze large and complex data sets.
- In addition you will develop software and GenAI-based solutions for automation turning ideas into practical tools that support our engineering workflows.
- Last but not least you will have the opportunity to present your findings to a diverse team collaborating with talented individuals from around the globe.
Qualifications :
- Education: studies in the field of Data Science Informatics Physics Mathematics Mechanical Engineering or comparable
- Experience and Knowledge: in Python GenAI software development and Machine Learning
- Personality and Working Practice: you quickly grasp complex technical concepts eagerly seek new knowledge and maintain a high level of motivation to excel in your tasks
- Work Routine: on-site presence is required
- Languages: very good in English
Additional Information :
Start: according to prior agreement
Duration: 6 months 10 h/week (extension possible)
Requirement for this working student position is the enrollment at university. Please attach your CV transcript of records enrollment certificate and if indicated a valid work and residence permit.
Diversity and inclusion are not just trends for us but are firmly anchored in our corporate culture. Therefore we welcome all applications regardless of gender age disability religion ethnic origin or sexual identity.
Need further information about the job
Vitaliy Kondrashov (Functional Department)
49
Work #LikeABosch starts here: Apply now!
#LI-DNI
Remote Work :
No
Employment Type :
Part-time
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