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
Collaborate with other execution teams and provide necessary inputs and support

Key Responsibilities

Analyze historical and real-time IoT data for performance insights
Collaborate with Energy Efficiency Consultant to share / 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 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 in the site conditions through continuous monitoring model performance
Prepare and Present insights and recommendations to internal and external stakeholders
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 of project tasks, communicate any roadblocks to Project Manager and adjust the delivery schedule
Report the issues, track progress and test the fixes related to ML model development 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
8+ years of experience in energy in industrial environments
Strong understanding of working principles, operations and control 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 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

Bring your energy expertise to a role where it truly matters — apply today!

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Country-specific programs and initiatives may be available.

Looking to make an IMPACT with your career

When you are thinking about joining a new team, culture matters. 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.

Become an IMPACT Maker with Schneider Electric – apply today!

€40 billion global revenue

+9% organic growth

150 000+ employees in 100+ countries

You must submit an online application to be considered for any position with us. This position will be posted until filled.

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Energy Analytics Consultant IN