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# Working Student Data Analytics & Predictive Maintenance (all genders)

- **Company:** SYSKRON GmbH
- **Location:** Neutraubling, Germany (Remote available)
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Infrastructure, Python (Programming Language), Machine Learning, SQL Databases, Data Processing, Information Technology, Data Analytics, Databricks
- **Published:** August 25, 2026
- **Apply:** https://de.indeed.com/viewjob?jk=11364b4de931d73a

## About the Role

* You are currently pursuing a degree in Computer Science, Data Science, Mechanical Engineering, Automation Engineering, Mathematics, Physics, or a related field.
 * You have a strong interest in data analytics, Artificial Intelligence, and Predictive Maintenance.
 * Ideally, you have gained initial experience with Python, SQL, or Databricks.
 * You stand out through your analytical mindset and your ability to work independently and in a structured manner.
 * You are passionate about industrial machinery and digital technologies.
 * You have very good German language skills and good English language skills, both written and spoken.

## Description

Do you want to actively shape industrial transformation and apply modern data analytics and Artificial Intelligence in real-world production environments? Join our team and help develop innovative solutions for Condition Monitoring and Predictive Maintenance.

 * You analyze machine, sensor, and process data using modern data platforms such as Databricks.
 * You support the development and implementation of use cases in the areas of Condition Monitoring and Predictive Maintenance.
 * You prepare and transform data, develop relevant features, and create meaningful analyses and visualizations.
 * You contribute to the development, training, and validation of Machine Learning and AI models.
 * You identify anomalies, patterns, and optimization opportunities within industrial data.
 * You document results and support the derivation of data-driven recommendations and actions.
 * You collaborate closely with experts from Production, Service, and Data Analytics to develop innovative and impactful solutions.


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