Partial Discharge Data Scientist

We are looking for an experienced Data Scientist to develop advanced analytics for our partial discharge monitoring and predictive maintenance platform.

Optics11 is a deep-tech company developing advanced fiber-optic sensing technologies for challenging environments and applications in energy and underwater security.

Our systems enable high-performance sensing and monitoring through advanced photonics, signal processing, and data-driven intelligence.

We are expanding our partial discharge R&D team with a Data Scientist who is motivated to translate complex business and engineering challenges into scalable, data-driven solutions that enabling next-generation acoustic emission monitoring solutions by processing sensor signals to early detect, localize and quantify partial discharge in energy infrastructure.

You will work closely with cross-functional teams (embedded, software, and hardware) to design, develop, and deploy advanced algorithms that predict energy infrastructure failures.

Previous experience in partial discharge, acoustic emission or electrical signal processing is an advantage, but not a dealbreaker.

We value strong analytical thinking, curiosity, and the willingness to learn new domains.

Responsabilidades

:Design, develop, validate, and maintain algorithms for sensor data analysis, partial-discharge monitoring, and predictive analytics.Translate complex business and engineering

Requisitos

into robust, production-ready algorithms.Analyse large-scale sensor, time-series, and operational datasets to identify meaningful patterns and improve monitoring platform performanceDevelop signal-processing, feature-engineering, statistical-modelling, and machine-learning pipelines.Collaborate with software and platform engineers to integrate algorithms into the cloud monitoring platform and edge environments.Monitor deployed algorithm performance and contribute to model maintenance, retraining, and continuous improvement.Why Join Us?Join one of Europe’s most promis...