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al level, visit the <a href="http://www.philips.com/a-w/careers/healthtech/working-at-philips/working-at-philips.html" target="_blank">Working at Philips page </a> on our career websi
lso learn about our <a href="http://www.philips.com/a-w/careers/healthtech.html" target="_blank">recruitment process </a>, or find answers to
ad stories from our <a href="http://www.usa.philips.com/a-w/our-people/life-at-philips.html" target="_blank">employee blog </a>. Once there, you ca
some of the <a href="http://www.philips.com/a-w/careers/healthtech/faq.html" target="_blank">frequently asked questions </a>. </p><p></p><p><strong>Notes </strong></p><p>Requir
olutions across the <a href="http://www.philips.com/b-dam/corporate/corporateblog/2016/Philips_Chronic_Disease_5.jpg" target="_blank">health continuum </a>. </p><p></p><p>To find out mor

Job Information

Philips Internship: Data Scientist for Personal Health in Drachten, Netherlands

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Start date : Mid-Sep 2019

Location: Drachten

Available for: 6months minimum

Work hours: 40 hours a week, 3 days working from Drachten and other 2 days from other location possible.

In this role, you have the opportunity to

This internship will concentrate on complex datasets comprised of data from multiple sources. It is hypothesized that valuable information can be obtained by analyzing the connections between the different data sources for both diagnostic and predictive applications. Thus, the task of this internship will focus on the application of artificial intelligence to process and analyze the data, then identify any possible connections of value.

You are responsible for

  • Exploring current best practices for using AI to combine data from various sources

  • Generating and verifying a dataset by smartly combining information from existing sources

  • Developing and verifying machine learning algorithms

  • Presenting results to key stakeholders and business leaders

You are a part of

A dynamic team of inquisitive engineers, researchers, and business innovators tasked with pushing the boundaries of male grooming.

To succeed in this role, you should have the following skills and experience

  • Currently enrolled in a Master’s program in Computer Science, Artificial Intelligence, or Data Science

  • Experience creating and testing state of the art machine learning algorithms

  • Demonstrated expertise in coding (Python or Matlab preferred)

  • Strong communicator capable of distilling complex ideas down to simple concepts

  • Fluent in English

In return, we offer you

The opportunity to grow and develop while performing research at the cutting edge of the personal health domain. Additionally, we provide the opportunity to learn from and collaborate with experts around the world from many diverse fields.

Why should you join Philips?

Working at Philips is more than a job. It’s a calling to create a healthier society through meaningful work, focused on improving 3 billion lives a year by delivering innovative solutions across the health continuum .

To find out more about what it’s like working for Philips at a personal level, visit the Working at Philips page on our career website, where you can read stories from our employee blog . Once there, you can also learn about our recruitment process , or find answers to some of the frequently asked questions .

Notes

Required documents in order for us to continue with your application:

  • Resume

Please note that in order to be considered for an internship, you need to be registered as a student during the entire internship period . Formal documentation of which may be requested at any time. Students from outside the EU need to fill in an NUFFIC agreement, which needs to be signed by the student and the university.

Please note that the contents of our regular internship assignments are not suitable for professionals (and/or MBA students) with professional work experience.

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