Data Science Internship Wearables & Sensor Data (mwd) 80-100
Dielsdorf - Switzerland
Job Summary
greenteg AG develops high-tech thermal sensing solutions for an international customer 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: 80100%
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.
Tasks
To strengthen our R&D team we are seeking a Data Scientist Intern Wearables & 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:
- Calibrate sensors and evaluate the performance of our machine learning models on customer devices.
- Plan and conduct data collection and validation studies.
- Analyze visualize and report model performance issues observed in real-world usage.
- Develop Python tools and pipelines to support customer integration and troubleshooting.
- Simulate model performance under varying sensor characteristics (e.g. noise sampling rate signal quality).
- (Optional) Support compilation and deployment of embedded ML libraries on target devices.
Requirements
Education
- Bachelors or Masters degree (or currently enrolled) in Computer Science Electrical Engineering Applied Mathematics Physics or a related field
Requirements
- Valid swiss work permit or EU/EFTA citizenship
- Strong proficiency in Python with experience in scientific and ML libraries (NumPy SciPy scikit-learn TensorFlow PyTorch)
- Solid understanding of data analysis statistics and machine learning fundamentals
- Strong problem-solving skills and ability to translate real-world problems into robust solutions
- Ability to clearly communicate technical findings to both technical and non-technical stakeholders
- English proficiency at C1 level
Nice to have
- Experience with signal processing or time-series data
- Familiarity with C programming or embedded systems
- Experience working with sensor data or wearable devices
Benefits
What we offer:
- 20 annual paid vacation days (at 100% workload).
- A stimulating role in high-tech manufacturing involving diverse technologies.
- Collaborative participation in enhancing company processes.
- An energetic young and international team.
- Flexible worktime option for 1-2 remote days per week (at 100% workload).
- Regular social events teambuilding BBQ free coffee and snacks.
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.
About Company
greenteg AG offers high-tech thermal sensing solutions for an international customer base. Besides marketing industrial sensors for laser power metering and for assessing insulation properties of buildings, we also offer a unique core body temperature measurement solution (CALERA®) fo ... View more