Trainee Data Science & KI (w/m/d) - Predictive Maintenance
Core
12-month trainee program building a predictive maintenance solution using AI to structure service data and create a knowledge base for industrial equipment.
Role type
Trainee Data Scientist (Predictive Maintenance)
Builds
AI-driven service management tools and a centralized knowledge base for industrial maintenance teams.
Domain
Industrial services, predictive maintenance, knowledge management.
Deliverable
production ML models
Required skills
Data analysis, knowledge structuring, AI/ML concepts, Python, SQL, database management, API integration, prototyping, stakeholder communication.
Preferred skills
Data science, computer science, business informatics, electrical engineering, mechatronics, AI, industrial engineering.
Responsibilities
Analyze and structure service reports and machine data; build a central knowledge base linking technical know-how and historical cases; investigate AI technologies for data classification and delivery; develop approaches for systematic capture of experience knowledge; analyze error codes and service reports to identify root causes; identify use cases for AI in daily service operations; prototype and test solution approaches with business units; manage interfaces between service technicians, technical departments, and IT; visualize project progress and results for stakeholders.
Seniority
Trainee (12-month program)