R&D Engineer — Asset Health & Predictive Analytics

Camlin; Parma; In loco; EUR 40.000 - 60.000; Tempo pieno

Descrizione del lavoro

A global technology leader is seeking an R&D Engineer to design algorithms for assessing the health of power assets. You will work at the intersection of engineering and data science, collaborating to create models that predict failures and recommend maintenance actions. The ideal candidate will have a Bachelor's or Master's in a relevant field and strong Python programming skills. Benefits include training support and discounted gym memberships, contributing to a positive work culture.

Servizi

Daily food vouchers

Training Support

Discounted Gym Membership

Wellness Programs

Internal Reward & Recognition Tool

Competenze

• Bachelor’s or Master’s degree in Computer Engineering, Electrical Engineering, Physics, Applied Physics, Data Science or related field.
• Strong programming skills in Python (pandas, numpy, scikit-learn).
• Hands‑on expertise in DSP, time series analysis and modelling.

Mansioni

• Develop and validate algorithms for assessing asset health.
• Translate expert knowledge into structured models.
• Analyse time-series and condition-monitoring data.

Conoscenze

Python programming

Data Science

Electrical Engineering

DSP

Condition-based maintenance

Formazione

Bachelor's or Master's degree in Computer Engineering or related field

Strumenti

pandas

numpy

scikit-learn

Descrizione del lavoro

A global technology leader is seeking an R&D Engineer to design algorithms for assessing the health of power assets. You will work at the intersection of engineering and data science, collaborating to create models that predict failures and recommend maintenance actions. The ideal candidate will have a Bachelor's or Master's in a relevant field and strong Python programming skills. Benefits include training support and discounted gym memberships, contributing to a positive work culture.