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Internship Machine Learning & Predictive Analytics for Heat Pump(m/w/x)
Analyzing historical heat pump data to uncover patterns and improve product reliability. Master's studies in a quantitative field and Python data science library experience required. Databricks or time-series analysis familiarity a plus.
Requirements
- Master studies in Data Science, Machine Learning, Statistics, Computer Science, Mathematics, or comparable
- Strong knowledge of machine learning, feature engineering, statistics, and data preprocessing
- Experience with Python and common data science libraries
- Familiarity with Databricks, PySpark, MLflow, or time-series analysis is a plus
- Self-driven, curious, and structured analytical work
- Ability to independently explore data, develop hypotheses, and communicate complex findings
- Passion for applying machine learning to real-world product data
- Very good English
Tasks
- Analyze large-scale historical data
- Uncover patterns, correlations, and anomalies
- Support product reliability improvement
- Design new features from raw data
- Evaluate new features
- Perform correlation and relevance analysis
- Identify key predictive indicators
- Develop machine learning models
- Evaluate models on Databricks platform
- Enable early detection of product issues
- Support proactive reliability improvement
- Present findings through visualizations
- Create dashboards for engineering decisions
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- Databricks
- PySpark
- MLflow
- Home
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- Home
- Jobs in Germany
- Internship Machine Learning & Predictive Analytics for Heat PumpInternship Machine Learning & Predictive Analytics for He...
Internship Machine Learning & Predictive Analytics for Heat Pump(m/w/x)
Analyzing historical heat pump data to uncover patterns and improve product reliability. Master's studies in a quantitative field and Python data science library experience required. Databricks or time-series analysis familiarity a plus.
Requirements
- Master studies in Data Science, Machine Learning, Statistics, Computer Science, Mathematics, or comparable
- Strong knowledge of machine learning, feature engineering, statistics, and data preprocessing
- Experience with Python and common data science libraries
- Familiarity with Databricks, PySpark, MLflow, or time-series analysis is a plus
- Self-driven, curious, and structured analytical work
- Ability to independently explore data, develop hypotheses, and communicate complex findings
- Passion for applying machine learning to real-world product data
- Very good English
Tasks
- Analyze large-scale historical data
- Uncover patterns, correlations, and anomalies
- Support product reliability improvement
- Design new features from raw data
- Evaluate new features
- Perform correlation and relevance analysis
- Identify key predictive indicators
- Develop machine learning models
- Evaluate models on Databricks platform
- Enable early detection of product issues
- Support proactive reliability improvement
- Present findings through visualizations
- Create dashboards for engineering decisions
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- Databricks
- PySpark
- MLflow
About the Company
Bosch Group
Industry
Engineering
Description
Das Unternehmen entwickelt hochwertige Technologien und Dienstleistungen, die das Leben der Menschen verbessern.
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