R&D Engineer – Algorithm & Data

Description

This role sits at the intersection of engineering, data science, and applied research. You will work closely with domain experts to translate knowledge of electric grid assets operations and diagnostics into algorithms that produce health indexes, risk assessments, and diagnostics.

We are looking for an R&D Engineer to join our R&D and discovery team. You will design the next generation of algorithms that assess power assets' health, predict failures, and recommend prescriptive actions for utilities.

• Build health indexes, failure mode models, and prescriptive maintenance actions.
• Analyse time-series and condition-monitoring data (DGA, thermal, load, etc.).
• Keep up with industry standards advancements in analytics for asset condition monitoring
• Evaluate algorithm performance for continuos improvement
• Develop and validate algorithms for the automated assessment of asset health, for failure mode identification and for condition-based maintenance.
• Translate expert domain knowledge into structured logic and models.

Requirements

If you enjoy diving into how electric grid assets work and transforming that understanding into actionable insights, this role is for you.

• Experience in data modelling, feature engineering, and performance evaluation techniques.
• Strong programming skills in Python (pandas, numpy, scikit-learn).
• Ability to work through R&D ambiguity and iterate toward incremental product value.
• Background in condition monitoring and predictive maintenance or reliability engineering.
• A blend of data science and engineering skills.
• Bachelor’s or Master’s degree in Computer Engineering, Electrical Engineering, Physics, Applied Physics, Data Science or related field.
• Hands-on expertise in modelling and simulation, including physical models and digital twins for electric grid assets.
• hands on experience in designing, deploying and maintaining rule-based expert systems
• Curious mindset, willingness to deeply understand how assets work
• Hands-on expertise in DSP, time series analysis and modelling

Benefits

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

Training + Development

Interview process

Visa Sponsorship

Security clearance