Asset Analytics Engineer

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

• Perform 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.
• Apply 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.
• Develop and maintain Analytic Blueprints—reusable templates for common industrial asset classes such as pumps, motors, and transformers—to enable rapid and scalable deployment.
• Monitor model performance using Precision/Recall metrics, perform retraining following asset overhauls, and tune statistical thresholds to minimise false positives and maximise signal fidelity.
• Write Python scripts (Pandas, NumPy) for data manipulation, custom analytic rule development, and feature engineering to enhance model accuracy.

Your profile

• 5+ years of experience in data analytics, reliability engineering, or a related field, with hands-on experience on platforms such as SmartSignal, Aspen Mtell, or AVEVA PRiSM, including Blueprint and model review workflows.
• Strong Python proficiency (Pandas, NumPy) for data manipulation and custom analytics development, combined with solid SQL skills for querying CMMS systems (Maximo, SAP PM) and Historian database.
• Demonstrated experience with industrial data systems including PI, OPC, and IP21 historians, and familiarity with API data extraction tools such as Postman or equivalent.
• A structured, detail-oriented approach to data quality and model governance, with the ability to manage model lifecycle activities including training, tuning, retraining, and performance monitoring across large asset fleets.

What You'll love about working here

• Well-being culture: medical care with Medicover, private life insurance, and sports card. Therapeutical support is available through a helpline, along with an educational wellbeing podcast.
• Access to over 70 training tracks with certification opportunities, including GenAI, Architects, and Google, through the NEXT platform. Free access to Education First, TED Talks, and Udemy Business materials and training.
• Continuous feedback and ongoing performance discussions through the GetSuccess performance management tool, supported by a transparent performance management policy.
• Hybrid working model after onboarding, combining modern office work with an ergonomic home-office package including a laptop, monitor, and chair.