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Senior Intern – Data Analytics & AI/ML, Service ability

Pay
Pay not listed
Work setting
Not stated
Employment
Not stated

Before you apply

New graduates
For current studentsCurrent university student pursuing a Master s degree in Engineering, Data Analytics, Business Analytics, IT, or a related field

What you’ll work on

Full posting
  • 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.

From the employer’s posting
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.
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.
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.

What you’ll bring

All qualifications

Core experience

  • Practical experience with Machine Learning or AI through academic, personal, or professional projects.
  • Experience with Python for data analysis or machine learning.
  • Good communication and collaboration skills.
  • Understanding of service processes or complex technical products.
  • Good knowledge of Microsoft Excel.
Qualification wording
Practical experience with Machine Learning or AI through academic, personal, or professional projects.
Experience with Python for data analysis or machine learning.
Good communication and collaboration skills.
Understanding of service processes or complex technical products.
Good knowledge of Microsoft Excel.

Posting record

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Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 9, 2026today
Recorded sightings
1

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 0

Early. Similar jobs usually come down between day 5 and day 41.

At Thermo Fisher Scientific, jobs usually come down by about day 47.

From 12,200 similar postings that came down, and 91 of Thermo Fisher Scientific’s. Coming down is not always a hire.

Thermo Fisher Scientific is hiring

79 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Analyst hiring is picking up
  • Takes jobs down at a usual pace
  • 4% of open jobs were reposted
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • Excel
Where the posting names them
Nice to Have - Experience with Python for data analysis or machine learning. - Understanding of service processes or complex technical products.
- Good written and spoken English. - Good knowledge of Microsoft Excel. Nice to Have

Your next step

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About Thermo Fisher Scientific

People
About 125,000 in 2025, about the same as the year before.Annual report (SEC Form 10-K)
Company
Listed as TMO.
H-1B visas
48 approved for new hires in fiscal 2025.US Citizenship and Immigration Services
Layoff notices
Notices this year and last cover 173 people. The latest was filed January 27, 2026.State WARN notices

Demand for Analyst roles

New Analyst postings at the employers we follow are up 18% over the last 5 weeks compared with the 5 before.

Weekly new Analyst postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 965, the most 1,385, and the latest week had 1,346.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Analyst, by the work the posting describes.

Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.

Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.

Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.

Job description

View original posting ↗

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.

Source details

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Pay

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Location & working pattern

Brno, Czechia

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