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R&D Engineer: Grid Asset Health & Predictive Analytics

Camlin

Lisburn

Hybrid

GBP 45,000 - 60,000

Full time

Yesterday
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Job summary

A global technology leader based in Northern Ireland is seeking an R&D Engineer to join their team. You will be responsible for designing algorithms to assess electric grid assets' health and predict failures. The ideal candidate should have a strong educational background in a relevant field and programming skills in Python. This role offers a hybrid working model and various employee benefits like company pension and subsidised gym membership.

Benefits

Company Pension & Life Assurance Schemes
On-site parking
Hybrid Working
Subsidised Gym Membership

Qualifications

  • Bachelor’s or Master’s degree in a relevant technical field.
  • Strong programming skills in Python with experience in data libraries.
  • Ability to analyze time-series and condition-monitoring data effectively.

Responsibilities

  • Develop algorithms for automated assessment of asset health.
  • Translate expert knowledge into data models and logic.
  • Evaluate algorithm performance for continuous improvement.

Skills

Python programming
Data science
DSP expertise
Time series analysis
Feature engineering

Education

Bachelor’s or Master’s degree in Computer Engineering, Electrical Engineering, Physics, Applied Physics, Data Science or related field

Tools

Pandas
NumPy
Scikit-learn
Job description
A global technology leader based in Northern Ireland is seeking an R&D Engineer to join their team. You will be responsible for designing algorithms to assess electric grid assets' health and predict failures. The ideal candidate should have a strong educational background in a relevant field and programming skills in Python. This role offers a hybrid working model and various employee benefits like company pension and subsidised gym membership.
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