Key Responsibilities: Analyze historical and real-time IoT data for performance insights Collaborate with Energy Efficiency Consultant to share / review findings related toenergy optimization opportunities Assess data quality, perform feasibility studies (Remote / Onsite), and validatepossibility of ML model based optimization for identified optimization 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 the changes inthe site conditions through continuous monitoring model performance Prepare and Present insights and recommendations to internal and externalstakeholders Support the filed trials (Implementation) for testing the ML recommendations /new set points, filed trial data analysis along with Energy Efficiency consultant Provide necessary inputs for execution planning, ensure timely completion ofproject tasks, communicate any roadblocks to Project Manager and adjust thedelivery schedule Report the issues, track progress and test the fixes related to ML modeldevelopment to deployment in analytics platform Support the creation of ML library/template to be included in the offer Collaborate with other execution teams, provide timely support and inputs Handle ML portion of the projects Independently with minimum support Qualifications: 10+ years of experience in data science or energy performance ordigital transformation in industrial environments Strong understanding of working principles, operations andcontrol aspect of utility systems, including chilled water,compressed air, cooling towers, pumping systems, fans 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 anddeploy models Skilled in analyzing energy performance data and identifyingoptimization opportunities Knowledge & experience in implementation of Energy efficiencyprojects related to baseline development and savingsquantification against baseline Comfortable working with cross-functional teams including energyexperts, engineers, and customers Strong communication & report writing skills and a mindsetfocused on innovation, sustainability, and customer success Looking to make an IMPACT with your career?

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At Schneider Electric, our values and behaviors are the foundation for creating a great culture to support business success.

We believe that our IMPACT values – Inclusion, Mastery, Purpose, Action, Curiosity, Teamwork – starts with us. IMPACT is also your invitation to join Schneider Electric where you can contribute to turning sustainability ambition into actions, no matter what role you play.

It is a call to connect your career with the ambition of achieving a more resilient, efficient, and sustainable world.

We are looking for IMPACT Makers; exceptional people who turn sustainability ambitions into actions at the intersection of automation, electrification, and digitization.

We celebrate IMPACT Makers and believe everyone has the potential to be one.

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Key Responsibilities:

Analyze historical and real-time IoT data for performance insights Collaborate with Energy Efficiency Consultant to share / review findings related toenergy optimization opportunities Assess data quality, perform feasibility studies (Remote / Onsite), and validatepossibility of ML model based optimization for identified optimization 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 the changes inthe site conditions through continuous monitoring model performance Prepare and Present insights and recommendations to internal and externalstakeholders Support the filed trials (Implementation) for testing the ML recommendations /new set points, filed trial data analysis along with Energy Efficiency consultant Provide necessary inputs for execution planning, ensure timely completion ofproject tasks, communicate any roadblocks to Project Manager and adjust thedelivery schedule Report the issues, track progress and test the fixes related to ML modeldevelopment to deployment in analytics platform Support the creation of ML library/template to be included in the offer Collaborate with other execution teams, provide timely support and inputs Handle ML portion of the projects Independently with minimum support
Qualifications: 10+ years of experience in data science or energy performance ordigital transformation in industrial environments Strong understanding of working principles, operations andcontrol aspect of utility systems, including chilled water,compressed air, cooling towers, pumping systems, fans 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 anddeploy models Skilled in analyzing energy performance data and identifyingoptimization opportunities Knowledge & experience in implementation of Energy efficiencyprojects related to baseline development and savingsquantification against baseline Comfortable working with cross-functional teams including energyexperts, engineers, and customers Strong communication & report writing skills and a mindsetfocused on innovation, sustainability, and customer success