Datascientist
Pubblicato il 13-08-2026 - Informatica / Software in Napoli
Chi siamo Una carriera in Hitachi Rail rappresenta un investimento per il futuro.
Job Description Hitachi Rail is looking for an enthusiastic self-motivated DATASCIENTIST who thrives in a fast-paced environment. The successful candidate is comfortable performing a wide range of tasks from administrative to strategic. The position is based in NAPLES, IT .
About Us A career at Hitachi Rail will help create a legacy. With operations in every corner of the world, our work goes to the cutting-edge of digital transformation and technology. From the multi-cultural strength of our global organisation to the sustainable and innovative ways we work to bring people together, there's something for everyone to get stuck into. And that's where you come in.
Accountabilities The Data Scientist will improve service quality and equipment reliability by developing tools and systems for improving workflows and optimising maintenance processes using suitable practices, Reliability Centred Maintenance (RCM), Condition Base Maintenance (CBM) methodology and Data Science Techniques.
The Data Scientist will play a critical role in connecting field operations with the maintenance organisation, helping minimise downtime and failure rates and maximize train operation.
Competencies Review and design main train subsystems with focus on maintainability, availability, reliability and CBM rule application
Develop prognostic algorithms, principles based on its logic, signals/events/operational information within related resolution and sampling timing and prescriptions for maintenance
Develop models for telemetry/diagnostic streams (e.g., anomaly detection, forecasting, survival/RUL) in Python and SQL, orchestrated on Kubernetes with Kubeflow Pipelines.
Analyse diagnostics and maintenance data and create operational dashboards (e.g., Power BI, Grafana) to support maintainers and engineers
Monitor prognostic system performances and statistical analysis on collected data to identify critical trends and