Job Description

Work Schedule

Standard (Mon-Fri)

Environmental Conditions

Office

Job Description

When you’re part of Thermo Fisher Scientific, you’ll do challenging work and be part of a team that values performance, quality, and innovation. As part of a successful, growing global organization, you will be encouraged to perform at your best. We give our people the resources and opportunities to make meaningful contributions to the world.

The Team

Our Serviceability team focuses on improving service processes and performance for advanced electron microscopy technologies. You’ll join a growing international team based in Brno and Eindhoven, working closely with Service Architects, project leaders, and business experts.

The Position

Are you passionate about Machine Learning, AI, and turning complex data into meaningful insights?

As a Sr Intern – Data Analytics & AI/ML, you will analyze real-world service data, explore AI/ML solutions, and contribute to projects that improve service efficiency and reduce costs. You'll have the opportunity to apply your skills to practical challenges and make a measurable business impact.

Key Responsibilities

• Collect, process, and analyze field service data to identify trends and improvement opportunities.
• Apply data analytics and explore AI/ML approaches to support serviceability improvements.
• Support Intensive Field Feedback (IFF) and Service Execution System (SeS) activities by analyzing service cases, labor hours, and costs.
• Analyze data from new product introduction (NPI) installations to evaluate performance and identify improvements.
• Maintain and improve datasets, reports, and Excel-based tools, ensuring data quality.
• Collaborate with international project teams and communicate findings to support decision-making.

Requirements

• Current university student pursuing a Master's degree in Engineering, Data Analytics, Business Analytics, IT, or a related field.
• Practical experience with Machine Learning or AI through academic, personal, or professional projects.
• Strong analytical thinking and experience working with data.
• Independent and proactive approach to problem-solving.
• Good communication and collaboration skills.
• Good written and spoken English.
• Good knowledge of Microsoft Excel.

Nice to Have

• Experience with Python for data analysis or machine learning.
• Understanding of service processes or complex technical products.

What we offer

• Meaningful and rewarding work in an international high-tech company with exciting career prospects.
• Flexible working hours that you can easily balance with your studies.
• An extra week of paid vacation.
• A meal allowance.
• A free MultiSport card.
• A discounted mobile phone plan.
• Support for your professional and personal growth and development.
• A friendly and informal company culture.