Internship Machine Learning & Predictive Analytics For Heat Pump

Bosch Home Comfort Group

Wernau (neckar), Germany
Hybrid (on-site presence required at least 2 days per week, mobile working available for the rest)
Machine learning algorithms
Feature engineering principles
Python with pandas, numpy
Bosch Home Comfort Group is seeking an intern in Machine Learning and Predictive Analytics to analyze historical data and develop predictive models aimed at improving product reliability for heat pumps. The position requires a strong academic background in data science or related fields, along with proficiency in machine learning techniques and tools

Job Summary

  • Analyze large-scale historical data to uncover patterns and support product reliability improvement.
  • Develop and evaluate machine learning models on the Databricks platform for early detection of potential product issues.
  • Present findings and model results clearly through visualizations and dashboards to support engineering decision-making.

Matching Summary

Match Score: 85

Bosch Home Comfort Group is seeking an intern in Machine Learning and Predictive Analytics to analyze historical data and develop predictive models aimed at improving product reliability for heat pumps. The position requires a strong academic background in data science or related fields, along with proficiency in machine learning techniques and tools.

Skills & Requirements

Must-have

  • Machine learning algorithms
  • Feature engineering principles
  • Python with Pandas, NumPy
  • Statistics and data preprocessing
  • Databricks platform

Nice-to-have

  • Self-driven and curious
  • Structured and rigorous mindset
  • Clear explanation of complex findings
  • Experience with PySpark, MLflow
  • Time-series analysis concepts

Key Requirements

  • Master studies in Data Science, ML, Statistics, CS, Math
  • Enrollment at university required

Work Rights

Not specified

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