Data Science Internship - Wearables & Sensor Data

greenTEG AG; Rümlang; Hybrid; CHF 22,000 - 29,000; Full time

Benefits offered by this job

20 annual paid vacation days

High-tech manufacturing environment

Collaborative processes improvement

Energetic international team

Flexible worktime

1–2 remote days per week

Regular social events, teambuilding, 0

Job summary

greenTEG AG in Zürich-Rümlang is seeking a Data Scientist Intern for Wearables & Sensor Data to help customers integrate our CALERA® technology into wearable devices. You will calibrate sensors, collect and validate data, and analyze model performance on real devices.

The role offers 80-100% workload with flexible hours and up to 1–2 remote days per week, starting January 2027 or upon agreement. You’ll work in a high-tech, international team across hardware, embedded systems, and ML.

Qualifications

• Education Bachelor's or Master's degree in Computer Science, Electrical Engineering, Applied Mathematics, Physics, or a related field
• Swiss work permit or EU/EFTA citizenship
• Strong Python with ML libraries (NumPy, SciPy, scikit-learn, TensorFlow, PyTorch)
• Solid data analysis, statistics, and ML fundamentals
• Strong problem-solving skills and ability to translate real-world problems into robust solutions
• Clear communication of technical findings to technical and non-technical stakeholders
• English proficiency at C1 level

Responsibilities

• Calibrate sensors and evaluate ML model performance 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 (noise, sampling rate, signal quality).
• (Optional) Support compilation and deployment of embedded ML libraries on target devices.

Skills

Python

ML

Data analysis

Problem solving

Communication

English (C1)

Education

Bachelor's or Master's degree in CS/EE/Applied Math/Physics

Tools

TensorFlow

PyTorch

NumPy

SciPy

scikit-learn

Job description

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: Jan 2027 or upon agreement.

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.

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 Bachelor's or Master's 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

• 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 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.