Bosch Group
Internship in Manufacturing Technology(m/w/x)
Full-timeInternshipWith Homeoffice
Wernau (Neckar)
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BOBosch Group
Internship Machine Learning & Predictive Analytics for Heat Pump(m/w/x)
Wernau (Neckar)
Full-timeInternshipWith Home Office
AI/ML
Data Science
Nejo AI Summary
Analyzing historical heat pump data for patterns and anomalies. Machine learning expertise with Python and Scikit-learn required. Hybrid model with mobile working available.
Requirements
- Master studies in Data Science, Machine Learning, Statistics, Computer Science, Mathematics, or comparable
- In-depth knowledge of machine learning (supervised learning, model evaluation, cross-validation, hyperparameter tuning, algorithm application)
- Solid understanding of feature engineering principles (feature extraction, selection, correlation analysis, handling imbalanced/noisy data)
- Proficient in Python with Pandas, NumPy, Scikit-learn, Matplotlib/Seaborn
- Strong foundation in statistics and data preprocessing
- Experience with Databricks, PySpark, MLflow, or time-series analysis concepts is a plus
- Familiarity with MLflow or time-series analysis concepts is an advantage
- Self-driven and curious individual
- Capable of independently exploring data, formulating hypotheses, and iterating solutions
- Structured and rigorous analytical mindset
- Skilled at clearly explaining complex findings to non-technical colleagues
- Passion for applying machine learning to real-world product data
- Enrollment at university
- Attach CV, transcript of records, enrollment certificate, examination regulations
- Valid work and residence permit if indicated
Tasks
- Analyze historical data for patterns
- Uncover correlations in data
- Identify anomalies in data
- Design new features from raw data
- Evaluate new features from raw data
- Perform correlation analysis
- Perform relevance analysis
- Identify key predictive indicators
- Develop machine learning models on Databricks
- Evaluate machine learning models on Databricks
- Enable early detection of product issues
- Enable proactive reliability improvement
- Present findings through visualizations
- Present model results through dashboards
- Support engineering decision-making
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- Pandas
- NumPy
- Scikit-learn
- Matplotlib
- Seaborn
- Databricks
- PySpark
- MLflow
Benefits
Flexible Working
- Hybrid model
- Mobile working available
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Bosch Group and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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BOBosch Group
Internship Machine Learning & Predictive Analytics for Heat Pump(m/w/x)
Wernau (Neckar)
Full-timeInternshipWith Home Office
AI/ML
Data Science
Nejo AI Summary
Analyzing historical heat pump data for patterns and anomalies. Machine learning expertise with Python and Scikit-learn required. Hybrid model with mobile working available.
Requirements
- Master studies in Data Science, Machine Learning, Statistics, Computer Science, Mathematics, or comparable
- In-depth knowledge of machine learning (supervised learning, model evaluation, cross-validation, hyperparameter tuning, algorithm application)
- Solid understanding of feature engineering principles (feature extraction, selection, correlation analysis, handling imbalanced/noisy data)
- Proficient in Python with Pandas, NumPy, Scikit-learn, Matplotlib/Seaborn
- Strong foundation in statistics and data preprocessing
- Experience with Databricks, PySpark, MLflow, or time-series analysis concepts is a plus
- Familiarity with MLflow or time-series analysis concepts is an advantage
- Self-driven and curious individual
- Capable of independently exploring data, formulating hypotheses, and iterating solutions
- Structured and rigorous analytical mindset
- Skilled at clearly explaining complex findings to non-technical colleagues
- Passion for applying machine learning to real-world product data
- Enrollment at university
- Attach CV, transcript of records, enrollment certificate, examination regulations
- Valid work and residence permit if indicated
Tasks
- Analyze historical data for patterns
- Uncover correlations in data
- Identify anomalies in data
- Design new features from raw data
- Evaluate new features from raw data
- Perform correlation analysis
- Perform relevance analysis
- Identify key predictive indicators
- Develop machine learning models on Databricks
- Evaluate machine learning models on Databricks
- Enable early detection of product issues
- Enable proactive reliability improvement
- Present findings through visualizations
- Present model results through dashboards
- Support engineering decision-making
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- Pandas
- NumPy
- Scikit-learn
- Matplotlib
- Seaborn
- Databricks
- PySpark
- MLflow
Benefits
Flexible Working
- Hybrid model
- Mobile working available
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Bosch Group and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
Bosch Group
Industry
Manufacturing
Description
Das Unternehmen entwickelt hochwertige Technologien und Dienstleistungen, die das Leben der Menschen verbessern.
Not a perfect match?
- Bosch Group
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