• Setup and organize a process database of operating data received from customers and make such data easily accessible to process engineers.
• Developing digital products like training simulator and data-based AI process controller in cooperation with internal and external IT partners.
• Be intermediary between process know-how and IT know-how during the development of digital products for licensees of UFT.
• Implement digital products of UFT like trainings simulator and data-based AI process controller at customer sites.
• Collect feedback from customers and translate this feedback into the next level of digital product development.
• Coordinating application of digital products like online process monitoring and operator guidance that deliver value to our customers and support business goals.
• Building and protecting digital know-how by staying up to date with new technologies and implementing best practices to secure knowledge.
• Collaboration with internal and external IT partners to ensure the seamless integration of digital products for our customers.
• Monitoring product performance and continuously improve digital products based on user feedback and analytics.
• Translating customer needs into digital solutions in close cooperation with cross-functional teams.

• Master’s degree in data science, Computer Science or a related field.
• Ideally, practical experience in data science and big data processing gained in an internship or a working student job.
• Strong sense for customer orientation and collaboration.
• Excellent communication skills.
• Willingness to go on business trips occasionally.
• Fluent language skills in English and German.

We work together closely and respect each other, for over 200 years now and up till today. If that is just as important to you as it is to us, please apply online now under specification of your salary requirement and your notice period.

It goes without saying, that we would like to offer attractive working conditions. This includes for example:

• Performance-related compensation according to collective agreement Metal & Electro NRW (30 days vacation, 35 hour week, vacation pay, special payments according to collective agreement)
• Attractive old-age provision models
• Groupwide learning measures
• thyssenkrupp internal health campaigns

Cagla Coskun