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Internship – Product Engineering (Data Science: Machine Learning Analyst)

NXP
Geplaatst 21 Jun 2026 (net geplaatst)
Data Science Corporate Junior
Python
AI Samenvatting

Machine Learning Analyst (intern): Ontwikkel en evalueer een anomaliedetectieaanpak voor machine learning-modellen met Python. Analyseer grote datasets om inconsistenties te identificeren en ontwerp een scoringmechanisme voor anomalieën. Deze stage biedt de kans om bij te dragen aan de ontwikkeling van technologieën voor autonome voertuigen binnen een innovatief team in Nijmegen.

Functiebeschrijving

The future starts here! Ready to join NXP ?

Become part of   a   dynamic   Product Engineering   team that is   working on products driving   One of the mega trends in the evolution towards highly automated vehicles. NXP offers sensor and processing technology that drives all aspects of the secure connected cars of today and the autonomous cars of tomorrow. Product line In-Vehicle Networking is with CAN, LIN,   Flexray   and Ethernet solutions, enabling communications within   architectures   designed for secure and hyper-connected autonomous vehicles.

Your Team 

The   Product Engineering   –

You will be part of our product development team ,   Product Line, In-Vehicle Networking, in Nijmegen, Netherlands, who is working rigorously   to deliver the best products to market on time while ensuring our brand's reputation for leadership in total quality at optimal cost.

As a Product Engineer ing intern , you are   in   a central position (a spider   in   the web) in the   New IC Product development .    You   get to   work with all   the   disciplines needed to design an IC and several external teams to prepare it for mass production .   There   is   a lot of room for   new ideas   and   innovations   and you will be supported to have a continuous focus on development, coaching and creating a supportive environment   from   your team.

Your Responsibilities 

  • Develop and evaluate an anomaly detection approach for machine learning models to   determine   whether incoming data and model predictions are reliable before further processing.

  • Analyze   large-scale datasets to   identify   out-of-distribution   behavior , data shifts, and inconsistencies between inputs and model outputs.

  • Design and calibrate an anomaly scoring mechanism and decision thresholds, balancing detection sensitivity with practical review capacity in a production environment.

  • Validate the solution using historical data, including simulation or injection of anomalous scenarios where   required .

  • Collaborate with cross-functional teams (e.g., engineering and data science) to define relevant anomaly types, interpret model   behavior , and translate insights into practical decision-making workflows.

  • Document the   methodology , validation results, and recommended thresholds in a clear and structured way suitable for internship and   thesis   deliverables.

What’s   in it for you

  • A great opportunity   to develop your skills (technical, soft skills, communication, etc.)

  • Gaining experience in a multinational and diverse environment

  • Possibility to become part of NXP’s Young Professional Talent Pool

  • Working on real assignments which contribute to NXP’s objectives

Your   P rofile

  • Master’s student   with major in   Computer Science, Machine Learning, Data Science, Statistics,   or a closely related quantitative field.   Minor or   additional   course work in Applied Mathematics is a plus.

  • Strong programming skills in Python and experience working with data analysis or machine learning workflows.

  • Solid foundation in statistics, anomaly detection, out-of-distribution detection, or distribution-shift analysis.

  • Comfortable translating analytical results into practical engineering decisions and collaborating with cross-functional technical stakeholders.

  • Interest in semiconductor test data, production analytics, and deploying trustworthy ML solutions in an industrial setting.

  • Available for an internship that can be combined with a thesis project.

Duration  

This is a full-time / part time   internship ( 20/ 40 hours   per week) with a duration of 6 months or longer. The assignment   may be   suitable as a thesis/graduation project.

Please note that   in order to   be considered for an internship/working student assignment, you need to be registered as a student during the entire period.

Creating Secure Connections and Infrastructure for a Smarter World

NXP Semiconductors N.V. (NASDAQ: NXPI) makes products and environments safer, more sustainable, and more secure with innovative connectivity and edge processing solutions for a smarter world.

We are in the business of   better . Not   just better   technologies, but better innovations to improve society. As the world leader in secure connectivity and processing solutions for embedded applications, NXP is solving the world’s most complex technology challenges to accelerate business innovation, enhance how we work, and advance how we live.

If you are as excited about this opportunity as we are, we kindly invite you to apply. After   a screening   based on your   profile   you can be expected to have a video interview with our Talent Acquisition Consultant followed by business.

What   C an   Y ou   E xpect?

Development opportunities:   We believe that a key   component   to growing our business is to develop our people. To enable you to grow your career at NXP, we provide you with a mix of learning through on-the-job experiences, learning from   industries   bests , and learning through education to help you develop your core and professional skills.

Our offices:   The Netherlands is home to our global headquarters (Eindhoven) along with two additional sites (Nijmegen, Delft) and includes a diverse team of over 2000 employees with 51 different nationalities focused on R&D, manufacturing, product development, business operations, legal and sales.

Hiring process:   Applying only takes a minute! Fill in the online application and share your CV with us. After a positive screening based on your   CV   you will have   an initial   video conversation with our Talent Acquisition Consultant followed by several business interviews. Here are some useful tips to help you prepare .

And more:   Life at NXP is more than   work   alone. Join one of the many social activities that are organized by and for employees in the Netherlands, such as our Christmas parties and International Walking Day. We have a YOUNG community that organizes a mix of social and professional events for our young professionals and an active Women in NXP. We also take time to give back to our communities by engaging young girls to learn about Technology during Girls Day or   participating   in several volunteering activities.

What’s   N ext?

If   you’re   excited about this opportunity, we   kindly invite   you to apply! If you have any questions, we are happy to answer them.

More information about NXP in the Netherlands...

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