Asset Analytics Engineer

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same. 

Your role

As an Asset Analytics Engineer with a focus on Smart Signal and Predictive Modelling, you will take ownership of the end-to-end technical deployment of predictive models across industrial asset fleets. Leveraging platforms such as SmartSignal (GE Vernova), Aspen Mtell, or AVEVA PRiSM, you will transform raw historian data into high-fidelity digital twins that power reliability decisions.

Your tasks

• Performing complex tag mapping of historian data sources (PI, OPC, IP21) to the SmartSignal Standard Data Model, ensuring data lineage, quality, and consistency across fleet-level deployment
• Applying Similarity-Based Modelling (SBM) and Empirical Model Learning (EML) techniques to establish accurate "Normal" operating profiles, selecting Gold Standard training windows that represent healthy asset state
• Developing and maintaining Analytic Blueprints - reusable templates for common industrial asset classes such as pumps, motors, and transformers - to enable rapid and scalable deployment
• Monitoring model performance using Precision/Recall metrics, performing retraining following asset overhauls, and tuning statistical thresholds to minimise false positives and maximise signal fidelity
• Writing Python scripts (Pandas, NumPy) for data manipulation, custom analytic rule development, and feature engineering to enhance model accuracy

Your profile

What You'll love about working here

Get to know us

Capgemini is committed to diversity and inclusion, ensuring fairness in all employment practices. We evaluate individuals based on qualifications and performance, not personal characteristics, striving to create a workplace where everyone can succeed and feel valued.

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About Capgemini

Capgemini is the business transformation partner for enterprises in the age of AI. We help organizations imagine and build an intelligent, sustainable future, combining AI, technology and human ingenuity to transform how they operate, innovate and grow. With unique end-to-end capabilities spanning strategy, technology, engineering and intelligent operations, we bring together deep industry expertise and market-leading capabilities in AI, cloud and data to turn ambition into measurable business outcomes at scale. Supported by a robust ecosystem of partners and nearly 60 years of expertise, Capgemini is a responsible and diverse global organization of over 410,000 team members in more than 50 countries. The Group reported 2025 revenues of €22.5 billion.

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