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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

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

  • EnglishBusiness Fluent

Tools & Technologies

  • Python
  • Databricks
  • PySpark
  • MLflow
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