Internship in Data Analytics & Machine Learning for Product Usage Data

This is your role:
You will develop analyses for measurement data to better understand the application profiles of individual machines, machine groups, and fleets. To do
this, you will analyze and structure test data from our STIHL equipment.
You will create and evaluate machine learning models for pattern recognition, classification, and statistical analysis of test data.
You will support the development of AI agents that specifically analyze measurement data and answer relevant questions about application profiles.
You will document your analytical approaches, models, and results transparently for the further development of our data analysis processes.
What we are looking for:
Currently enrolled in a degree program in Business Informatics, Data Science, or a related field.
Initial practical experience with Databricks is advantageous.
Good knowledge of Python and initial experience with machine learning libraries such as Scikit-learn or similar tools.
Strong analytical skills and an interest in the evaluation and interpretation of data.
Excellent communication skills and a passion for teamwork.
Good written and spoken German and very good written and spoken English skills.
Further details about the position
: Salary: €2,117/month.
Please attach Please include the following documents with your application: CV, current transcript of records and certificate of enrollment, as well as, if available, work references and your valid work and residence permit.
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Contact
Julia Wahl
studierendenrecruiting@stihl.de
+49 7151 26-4688
Location
Waiblingen
Employment type
Temporary
field of work
IT & Digitalization, Research & Development
Working hours
Full-time
Level
Internship
Start date
By agreement
Company
ANDREAS STIHL AG & Co. KG
Job Reference Number
57923
Location Benefits
First-class support from STIHL experts | International environment | Flexible and mobile working possible | Working on equal terms | Further training opportunities | Employee discount | Canteen | Networking opportunities | Sports facilities/Health management
Sounds like a good fit? Apply now!
We look forward to getting to know you!
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Fill out the application form, submit it – done!
2. You will receive confirmation of receipt by email shortly
. 3. After reviewing your application documents, we will get back to you as soon as possible.
4. If everything is a good fit, we look forward to meeting you in person – either on-site or online.
5. Were the interviews successful? We say welcome to the STIHL team!
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