R&D Engineer – Algorithm & Data

Camlin Group; Parma; In loco; EUR 35.000 - 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 and predicting failures. You will work at the intersection of engineering, data science, and applied research. Ideal candidates will have a degree in a relevant field and strong Python programming skills, alongside experience in DSP and time series analysis. The role offers a collaborative environment focused on innovative solutions, with benefits including daily food vouchers and training support.

Servizi

Daily food vouchers

Training Support

Discounted Gym Membership

Wellness Programs

Internal Reward & Recognition Tool

Competenze

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

Mansioni

• Develop algorithms for automated assessment of asset health.
• Translate expert knowledge into structured logic and models.
• Build health indexes and failure mode models.

Conoscenze

Programming in Python

Data Science & Engineering

DSP and time series analysis

Data modelling

Feature engineering

Formazione

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

Descrizione del lavoro

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 continuous 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

• Daily food vouchers: for days worked in person in the premises.
• Training Support: We offer financial assistance for your training and development, based on company discretion. We also have an internal training platform to support your professional and personal development.
• Discounted Gym Membership: Stay fit with our discounted gym membership program.
• Wellness Programs: We prioritise your well‑being through our wellness initiatives.
• Internal Reward & Recognition Tool Kudos: This streamlines and automates the process of acknowledging and appreciating employees and helps contribute to our positive workplace culture.

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.