R&D Engineer – Algorithm & Data

Camlin; Lisburn; Hybrid; GBP 45,000 - 60,000; Full time

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

Camlin is a global technology leader that operates with the vision of bringing revolutionary products to life for a wide range of industries, including power and rail, and also has interests in a number of R&D projects in a variety of scientific sectors.

At Camlin we believe in high quality engineering and design, allowing us to develop market leading products and services. In short, we love creating value for our customers by solving difficult problems. As of now, Camlin operates in over 20 countries worldwide. 🌐

The Role

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.

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.

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

What You’ll Do

• 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.
• Build health indexes, failure mode models, and prescriptive maintenance actions.
• Analyse time-series and condition-monitoring data (DGA, thermal, load, etc.).
• Evaluate algorithm performance for continuos improvement
• Keep up with industry standards advancements in analytics for asset condition monitoring

What You’ll Need

• 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
• Experience in data modelling, feature engineering, and performance evaluation techniques.
• A blend of data science and engineering skills.
• Ability to work through R&D ambiguity and iterate toward incremental product value.
• Curious mindset, willingness to deeply understand how assets work

Nice to have

• 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
• Background in condition monitoring and predictive maintenance or reliability engineering.

Benefits

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

Our Values

• We work together
• We believe in people
• We won’t accept the ‘way it has always been done’
• We listen to learn
• We’re trying to do the right thing

Equal Employment Opportunity Statement

Individuals seeking employment at Camlin are considered without regards to race, colour, religion, national origin, age, sex, marital states, ancestry, physical or mental disability, gender identity or sexual orientation.