Trainee Data Science & AI - Predictive Maintenance
Original title: Trainee Data Science & KI (w/
This job is at Actemium. You apply to them, not to GoAusbildung.
Start Date
On request
Sector
Data Science & AI
Salary
Competitive salary
Listing data as of November 7, 2026
About this Apprenticeship
During the twelve-month trainee program, you work together with an experienced tandem partner on a real innovation project in AI-supported service management. Through in-person events, workshops, training and coaching, you continually develop your skills and build a cross-company network within VINCI Energies.
What You'll Learn
- Service data & data structuring: You analyze and structure existing service reports, fault patterns, technical events and other relevant machine and service data
- Intelligent knowledge base: You help build a central knowledge base that intelligently connects technical know-how, historical service cases and existing documentation
- Artificial intelligence: You investigate how modern AI technologies can help prepare, classify and provide information from different data sources in a targeted way
- Knowledge management: You develop approaches to systematically capture experience from past service assignments and make it available across the organization in the long term
- Fault and solution analysis: You evaluate error codes, service reports and technical events and establish connections between fault patterns, causes and successful solutions
- Service use cases: Together with our service organization, you identify concrete use cases where AI and structured data can support our employees in daily business
- Prototyping & further development: You develop and test first solution approaches together with the departments and assess their benefit for operational service
- Interface management: You work closely with service technology, technical departments, IT and other stakeholders and combine the different requirements into one shared solution
- Visualization & reporting: You prepare insights, project progress and results in an understandable way for technical and commercial stakeholders
Requirements
- Qualification: Successfully completed degree, for example in data science, computer science, business informatics, electrical engineering, mechatronics, artificial intelligence or industrial engineering, plus interest in digital and data-driven questions
- AI & digital technologies: You are interested in artificial intelligence and modern data and knowledge systems and want to find out how practical solutions for industrial service can emerge from them
- Understanding of data: You enjoy analyzing different data sources, structuring information and recognizing connections
- Technical understanding: You find machines, technical systems and industrial processes exciting and want to understand how service works in practice
- Analytical strength: You can grasp complex relationships, structure them and translate them into concrete solution approaches
- Technology understanding: First experience with Python, SQL, databases, APIs or comparable technologies is an advantage. More important to us, however, is your interest in learning new technologies and AI applications
- Working style: You work independently, in a structured and solution-oriented way and enjoy putting new ideas into practice
- Communication: You enjoy working with different departments and can explain technical and data-related topics clearly
What Actemium offers
- Innovation Tandem Program: Structured development program with workshops, training, coaching, shared milestones and a group-wide trainee network
- Mentoring & project responsibility: Personal support from an experienced tandem partner and early responsibility for a real innovation project
- Future-proof work. Act safely: A financially strong employer with clear responsibility for your safety
- Share program (VINCI): Share in the company's success and build assets
- Own Academy: Clear professional and personal development
- Employee referral: Up to €3,000 bonus for successful referrals
- 30 vacation days
- Childcare allowance & special leave
- Company fitness program
- Bike leasing
- Supplementary health insurance
- Mental health offerings
- Employee discounts
- Welcome Day & expert network
- Company pension scheme
- Company events
- Free parking & good transport connections
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