Energy Analytics Consultant - Carros, France - F/H

As Energy Analytics Consultant, reporting to AVEVA Competency Center Manager, you will enable data-driven energy optimization using ML and IoT, manage ML use cases life cycle, turn each ML use case into a reusable ML library included in the offer‑creation services, and collaborate with other execution teams to provide necessary inputs and support.

Responsibilities

Analyze historical and real-time IoT data for performance insights

Collaborate with Energy Efficiency Consultant to share and review findings related to energy optimization opportunities

Assess data quality, perform feasibility studies (Remote / Onsite), and validate possibility of ML model based optimization for identified opportunities

Use low-code/no-code analytics platforms to build and deploy models

Manage ML-based use cases from definition to deployment

Support continuous improvement of ML models by incorporating changes in site conditions through continuous monitoring of model performance

Prepare and present insights and recommendations to internal and external stakeholders

Support field trials (implementation) for testing ML recommendations / new set points, field trial data analysis together with Energy Efficiency Consultant

Provide necessary inputs for execution planning, ensure timely completion of project tasks, communicate any roadblocks to Project Manager and adjust the delivery schedule

Report issues, track progress and test fixes related to ML model development to deployment in analytics platform

Support creation of ML library/template to be included in the offer

Handle ML portion of the projects independently

Profile

Engineering Degree

10+ years of experience in data science or energy performance or digital transformation in industrial environments

Competences

Certification in an Agile framework (e.g., Scrum) and knowledge of Agile at Scale frameworks (SAFe, Scrum at Scale, Nexus)

Strong facilitation skills

Ability to create and lead matrix teams

Ability to promote Agile values and principles

Strong understanding of working principles, operations and control aspects of utility systems, including chilled water, compressed air, cooling towers, pumping systems, fan systems, hot water system, steam systems, AHU’s, hot air systems etc

Familiar with ML workflows, data pipelines, and IoT platforms

Experience using low-code/no-code ML platforms to develop and deploy models

Skilled in analyzing energy performance data and identifying optimization opportunities

Knowledge&experience in implementation of energy efficiency projects related to baseline development and savings quantification against baseline

Comfortable working with cross-functional teams including energy experts, engineers, and customers

Strong communication&report writing skills and a mindset focused on innovation, sustainability, and customer success

Fluent English

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