Technology, Information and Internet

greenteg AG

11-50

Funded training, courses and certifications to grow your skills.

Career Training

A laptop and the software you need, provided by the employer.

Company laptop

A share in the company's success through equity or stock options.

Company stock options

Reduced prices on company products and partner offers.

Employee discounts

Adapt your start and end times around your life and workload.

Flexible working hours

Free coffee, tea, water and soft drinks at the office.

Free beverages

Free fruit, snacks and small refreshments at the office.

Free snacks

Work from home for part of your working week.

Home Office

A budget or equipment to set up a proper workspace at home.

Home Office Equipment

Commitment

Empower

Growth

Honesty

Respect

Teamwork

greenteg AG develops high-tech thermal sensing solutions for an international customer base. In addition to industrial sensors, we provide a unique core body temperature measurement solution (CALERA®) for wearable devices.
Our technology enables a wide range of applications, including sports performance optimization, continuous and non-invasive patient monitoring, ovulation tracking, sleep analysis, and early disease detection and is integrated by various international customers on different type of wearable devices. 
All solutions are developed, manufactured, and commercialized at our headquarters in Zürich-Rümlang, where interdisciplinary teams collaborate across hardware engineering, embedded systems, and machine learning.
Location: Rümlang, Switzerland
Workload: 80–100%
Start Date: May 2026 or upon agreement.
Important Note: You will receive a link with the confirmation email to fill out a form. We will not process your application if you fail to fill out the form.
<h2>Tasks</h2>
To strengthen our R&amp;D team, we are seeking a Data Scientist Intern – Wearables &amp; Sensor Data to help our customers along the way to successfully integrate our solutions into their wearable products. You need to understand the needs and demands of each customer and make sure that our machine learning models can meet their requirements.
Main tasks:
<ul>
<li>Calibrate sensors and evaluate the performance of our machine learning models on customer devices.</li>
<li>Plan and conduct data collection and validation studies.</li>
<li>Analyze, visualize, and report model performance issues observed in real-world usage.</li>
<li>Develop Python tools and pipelines to support customer integration and troubleshooting.</li>
<li>Simulate model performance under varying sensor characteristics (e.g., noise, sampling rate, signal quality).</li>
<li>(Optional) Support compilation and deployment of embedded ML libraries on target devices.</li>
</ul>
<h2>Requirements</h2>
Education
<ul>
<li>Bachelor’s or Master’s degree (or currently enrolled) in Computer Science, Electrical Engineering, Applied Mathematics, Physics, or a related field</li>
</ul>
Requirements
<ul>
<li>Valid swiss work permit or EU/EFTA citizenship </li>
<li>Strong proficiency in Python with experience in scientific and ML libraries (NumPy, SciPy, scikit-learn, TensorFlow, PyTorch) </li>
<li>Solid understanding of data analysis, statistics, and machine learning fundamentals </li>
<li>Strong problem-solving skills and ability to translate real-world problems into robust solutions </li>
<li>Ability to clearly communicate technical findings to both technical and non-technical stakeholders </li>
<li>English proficiency at C1 level</li>
</ul>
Nice to have
<ul>
<li>Experience with signal processing or time-series data </li>
<li>Familiarity with C programming or embedded systems </li>
<li>Experience working with sensor data or wearable devices</li>
</ul>
<h2>Benefits</h2>
What we offer:
<ul>
<li>20 annual paid vacation days (at 100% workload).</li>
<li>A stimulating role in high-tech manufacturing, involving diverse technologies.</li>
<li>Collaborative participation in enhancing company processes.</li>
<li>An energetic, young, and international team.</li>
<li>Flexible worktime, option for 1-2 remote days per week (at 100% workload).</li>
<li>Regular social events, teambuilding, BBQ, free coffee and snacks.</li>
</ul>
Interested? – Join us!
Send your application CV and a short cover letter.
Very important!
You will recieve a link with the confirmation email to fill out a form. We will not process your application if you fail to fill out the form.

Data Science Internship - Wearables & Sensor Data (m/w/d) 80-100%

greenTEG AG logo

Google {privacyLink} and {termsLink} apply.

Benefits

Media

We don't have any open positions at the moment

No available jobs

Locations

Open positions

Values

Videos

Do you have a question?

Spontaneous application

We’ll send a link to this job to your email.

Apply later

We are reviewing your account. Once our managers approve it, candidates will be able to apply for this job.

Changes are not visible until you publish your job.

This is a preview of your job ad.

Interested?

The job {jobTitle} was archived or the deadline has passed.

This job is no longer available

Hiring team

{count, plural, one {# day a week on-site} other {# days a week on-site}}

Our other open positions

We no longer accept spontaneous applications

Interested in working at {companyName}? Tell us about your skills and experience.

We may not have a suitable job available now, but your skills and experience could match a future role.

Use the application form to upload your CV and cover letter. Mention the position you’re interested in in your cover letter.

The company may contact you if a suitable opportunity arises.

How to apply

Jobs at {companyName}. Browse all open positions and become part of our team! Open positions: {jobsCount}

Jobs at {companyName}. Browse our {jobsCount} available jobs and apply today.

Browse our {jobsCount} available jobs and apply today.

Interested in working at {companyName}? Send a spontaneous application to tell us about your skills and experience.