Level

Philips

Data, AI & Algorithm Internship – Philips Avent Experience Innovation

Philips is hiring a Data, AI & Algorithm Internship – Philips Avent Experience Innovation in Eindhoven, Netherlands. Level rates it ; you can apply on Level.

AI in this role

computer-vision

Job Title

Data, AI & Algorithm Internship – Philips Avent Experience Innovation

Job Description

Start Date:  as soon as possible, latest January 2027

Duration: at least / 6 months

Type: Internship

Weekly Presence: 40h (minimum 32h)

Location: Eindhoven


Internship Title

586189 Data, AI & Algorithm Internship – Philips Avent Experience Innovation


Your role:

At Philips Avent, we design meaningful innovations that support parents and babies in everyday moments of care. Within our Experience Innovation team, we explore the next generation of smart baby care products, including connected propositions such as our Smart Parenting portfolio and SenseIQ-based features.


We are looking for a talented student who can help turn large real-world datasets into meaningful product functions. This is not only about analysing data or building models in isolation. It is about understanding what parents need, what signals are available, what is “good enough” in a real product context, and how data, AI and algorithms can create reliable reassurance.

You will work under the guidance of our Data, AI & Algorithm Lead, Gabriele Papini, and collaborate with engineers, designers, researchers and proposition leads across Eindhoven, Amsterdam and Shenzhen.

In this role, you will:

  • Explore SenseIQ and connected product data to identify patterns, opportunities and potential reassurance features.
  • Translate consumer needs into measurable signals, data requirements, algorithm logic and performance metrics.
  • Build and iterate on data analysis pipelines and algorithm prototypes, mainly in Python.
  • Help define what “good” looks like for a product function, including reliability, false alarms, edge cases and user relevance.
  • Support validation of early algorithm concepts under real-world variability, such as motion, noise, lighting or inconsistent user behaviour.
  • Communicate insights clearly through structured analyses, visualizations and decision-ready recommendations.
  • Contribute to faster experimentation by using automation, AI tooling and efficient data workflows.

You're the right fit if

  • You are studying Data Science, AI, Computer Science, Applied Physics, Electrical Engineering, Biomedical Engineering, Robotics, Mechatronics or a related technical discipline.
  • You are strong in Python and comfortable with data analysis, statistics and rapid prototyping.
  • You enjoy translating messy real-world data into clear insights, hypotheses and functional concepts.
  • You are interested in the full chain from sensor, camera or product data to algorithm to consumer-facing product function.
  • Experience or curiosity in computer vision, video processing, image processing or signal extraction from visual data is a strong plus.
  • You can think pragmatically about trade-offs: accuracy, reliability, false alarms, explainability and user trust.
  • You have curiosity for AI tooling, automation and faster ways of working.
  • You communicate clearly and can explain technical insights to non-technical stakeholders.
  • You are proactive, hands-on and eager to learn in a multidisciplinary innovation team.

This role is less suited to students who only want to train models on prepared datasets, focus purely on dashboards or data reporting, or stay in abstract research without translating insights into product functions. We are specifically looking for someone who wants to work end-to-end: from data understanding to algorithm logic to meaningful user value.


How we work together

We believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week. Onsite roles require full-time presence in the company’s facilities. Field roles are most effectively done outside of the company’s main facilities, generally at the customers’ or suppliers’ locations.


We offer you:
A non-stop growth opportunity within a global multinational company. In addition, we also want to renumerate you well for the opportunity. This includes:

  • Monthly full-time allowance between €500 - €700 gross, depending on your education level and if you need to relocate to The Netherlands. Part-time internships receive the allowance pro-rata. 
  • Housing compensation. Should you need to relocate to near our office, we’ll offer you a monthly allowance of €300,- net if location is in the vicinity of Amsterdam, €255,- net for all other Philips locations. To be eligible, we’ll just ask for the rental contract from your landlord, and your usual home-work travel distance needs to be more than 50 km or 1.5 hours of travel time (for a one way trip). 
  • Travel compensation, if you are not eligible for a free public transport card; you will receive max. €192,- net as a monthly allowance. 
  • Paid holidays per internship term. 
  • The opportunity to buy Philips products at our Philips shop. 

About Philips

We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help the lives of others.

• Learn more about our business.

• Discover our rich and exciting history.

• Learn more about our purpose.


If you’re interested in this role and have many, but not all, of the experiences needed, we encourage you to apply. You may still be the right candidate for this or other opportunities at Philips. Learn more about our commitment to diversity and inclusion here.


#LI-OFFICE


How we rate this

Data, AI & Algorithm Internship – Philips Avent Experience Innovation at Philips rates 81 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Computer vision

Questions you could be asked

  1. Walk me through a computer vision problem you solved, from raw data to a deployed model.
  2. How would you decide a model or AI system is ready to ship?
  3. Tell me about a time a model underperformed in production. How did you find out, and what did you change?

Adapt your resume

  • List these exact terms on your resume: Computer vision. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.

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