Predictive Asset Analytics Engineer

Capgemini Engineering; Lublin; Hybrid; PLN 180,000 - 240,000; Full time

Job summary

Capgemini Engineering is seeking an Asset Analytics Engineer focused on Smart Signal and predictive modelling to deploy models across large asset fleets. You will transform historian data into high-fidelity digital twins and drive reliability decisions.

Expect to leverage platforms like SmartSignal, Aspen Mtell, or AVEVA PRiSM, develop analytic blueprints, and write Python scripts for data manipulation and feature engineering. A hybrid work model is offered.

Qualifications

• 5+ years of experience in data analytics, reliability engineering, or related field with hands-on work on platforms like SmartSignal, Aspen Mtell, or AVEVA PRiSM

Responsibilities

• Take ownership of end-to-end technical deployment of predictive models across industrial asset fleets
• Transform raw historian data into digital twins powering reliability decisions
• Develop and maintain analytic blueprints for asset classes like pumps, motors, transformers
• Write Python scripts for data manipulation and feature engineering to improve model accuracy
• Monitor model performance and retrain after asset overhauls to minimize false positives

Skills

Python proficiency

Data analytics

Reliability engineering

Tools

Pandas

NumPy

SQL

Postman

Job description

Capgemini Engineering is seeking an Asset Analytics Engineer focused on Smart Signal and predictive modelling to deploy models across large asset fleets. You will transform historian data into high-fidelity digital twins and drive reliability decisions.

Expect to leverage platforms like SmartSignal, Aspen Mtell, or AVEVA PRiSM, develop analytic blueprints, and write Python scripts for data manipulation and feature engineering. A hybrid work model is offered.