Ppgreenteg 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. /ppOur 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. /ppAll solutions are developed, manufactured, and commercialized at our headquarters in Zürich-Rümlang, where interdisciplinary teams collaborate across hardware engineering, embedded systems, and machine learning. /ppbLocation: /b Rümlang, Switzerland /ppbWorkload: /b 80–100% /ppbStart Date: /b May 2026 or upon agreement. /ppbImportant Note: /b 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. /ph3Tasks /h3pTo strengthen our RD team, we are seeking a bData Scientist Intern – Wearables Sensor Data /b 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. /ppbMain tasks: /b /pulliCalibrate sensors and evaluate the performance of our machine learning models on customer devices. /liliPlan and conduct data collection and validation studies. /liliAnalyze, visualize, and report model performance issues observed in real-world usage. /liliDevelop Python tools and pipelines to support customer integration and troubleshooting. /liliSimulate model performance under varying sensor characteristics (e.g., noise, sampling rate, signal quality). /lili(Optional) Support compilation and deployment of embedded ML libraries on target devices. /li /ulh3Requirements /h3pbEducation /b /pulliBachelor’s or Master’s degree (or currently enrolled) in Computer Science, Electrical Engineering, Applied Mathematics, Physics, or a related field /li /ulpbRequirements /b /pulliValid swiss work permit or EU/EFTA citizenship /liliStrong proficiency in Python with experience in scientific and ML libraries (NumPy, SciPy, scikit-learn, TensorFlow, PyTorch) /liliSolid understanding of data analysis, statistics, and machine learning fundamentals /liliStrong problem-solving skills and ability to translate real-world problems into robust solutions /liliAbility to clearly communicate technical findings to both technical and non-technical stakeholders /liliEnglish proficiency at C1 level /li /ulpbNice to have /b /pulliExperience with signal processing or time-series data /liliFamiliarity with C programming or embedded systems /liliExperience working with sensor data or wearable devices /li /ulh3Benefits /h3pbWhat we offer: /b /pulli20 annual paid vacation days (at 100% workload). /liliA stimulating role in high-tech manufacturing, involving diverse technologies. /liliCollaborative participation in enhancing company processes. /liliAn energetic, young, and international team. /liliFlexible worktime, option for 1-2 remote days per week (at 100% workload). /liliRegular social events, teambuilding, BBQ, free coffee and snacks. /li /ul /p #J-18808-Ljbffr