R&D Algorithm & Data Engineer for Asset Health

Black6; Lisburn; Hybrid; GBP 40,000 - 60,000; Full time

Job summary

A global technology leader is seeking an R&D Engineer to design algorithms assessing power assets' health and predicting failures. This role combines engineering, data science, and applied research, requiring a Bachelor’s or Master’s degree in relevant fields and strong Python programming skills. The successful candidate will develop algorithms for health assessment, translate domain knowledge into structured logic, and analyze data. The company offers a hybrid working model and a number of perks, including a pension scheme and subsidized gym membership.

Benefits

Company Pension & Life Assurance Schemes

On-site parking

Hybrid Working

Subsidised Gym Membership

Qualifications

• Strong programming skills in Python (pandas, numpy, scikit-learn).
• Hands-on expertise in DSP and time-series analysis.
• Ability to work through R&D ambiguity and iterate towards product value.

Responsibilities

• Develop and validate algorithms for asset health assessment.
• Translate expert domain knowledge into structured models.
• Evaluate algorithm performance for improvements.

Skills

Programming in Python

Data modeling

DSP expertise

Time-series analysis

Feature engineering

Curious mindset

Education

Bachelor’s or Master’s degree in relevant field

Job description

A global technology leader is seeking an R&D Engineer to design algorithms assessing power assets' health and predicting failures. This role combines engineering, data science, and applied research, requiring a Bachelor’s or Master’s degree in relevant fields and strong Python programming skills. The successful candidate will develop algorithms for health assessment, translate domain knowledge into structured logic, and analyze data. The company offers a hybrid working model and a number of perks, including a pension scheme and subsidized gym membership.