Job
- Level
- Junior
- Job Field
- Data
- Employment Type
- Part Time
- Contract Type
- Internship / school internship
- Location
- Attendorn
- Working Model
- Onsite
Job Summary
You develop and optimize Machine Learning models for smart production systems, analyze real-time data from IoT platforms, and create dashboards for process optimization.
Job Technologies
Your role in the team
- Shape the digital future of manufacturing actively! In our Central Department for Manufacturing Technologies, you will support us in building intelligent production systems.
- You work on Machine Learning use cases such as Predictive Maintenance, Anomaly Detection, and Process Optimization – from data analysis to production-ready ML models.
- You utilize real-time data from our central IoT platform, develop analytics algorithms, and build dashboards for our worldwide production sites.
- You gain insights into cutting-edge manufacturing technologies and collaborate in cross-functional projects with production experts.
- Your analyses have a direct impact on the efficiency of our operations.
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Our expectations of you
Education
- You are at least in your 3rd semester of your B.Sc. or M.Sc. studies in Data Science, Computer Science, Mechanical Engineering, Industrial Engineering, Mathematics, or a related field.
Qualifications
- You handle data analysis and visualization confidently.
- You have the opportunity to work regularly in Attendorn.
- You bring analytical thinking, curiosity, and a hands-on mentality with you.
- Ideally, you have already worked with SQL, time series data, or IoT systems.
Experience
- You already have some experience with Python and are interested in Machine Learning (e.g., scikit-learn, TensorFlow, pandas).
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Benefits
Higher Take-Home Pay
Work-Life-Integration
Topics You Will Work On
Job Locations
About Your Employer
Mubea
We are a global partner of the automotive industry and an innovative lightweight construction specialist for highly stressed spring components and related products. As a family-run business, our name stands for long-term, sustainable business success.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Industry, Production
Working Student Data Science & Machine Learning
- Location
- Attendorn
- Working Model
- Onsite
- Diversity
- Open for all genders
