Principal Energy Analytics Consultant

Schneider Electric; Bengaluru; Hybrid; INR 3,000,000 - 4,200,000; Full time

Job summary

Schneider Electric seeks a senior ML for energy optimization to analyze IoT data, identify opportunities, and develop reusable ML libraries within the offer-creation services. You will collaborate with energy efficiency experts and cross-functional teams to validate ML-based optimization opportunities across site conditions.

The role emphasizes delivering model-powered insights, supporting field trials, and ensuring timely execution of project tasks while maintaining strong communication with

Qualifications

• 20+ years of experience in energy performance or digital transformation in industrial environments.
• Strong understanding of utility systems (chillers, pumps, AHUs, steam, 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.

Responsibilities

• Analyze historical and real-time IoT data for performance insights.
• Collaborate to share findings related to energy optimization opportunities.
• Assess data quality and feasibility of ML-based optimization (Remote/Onsite).
• Use low-code/no-code analytics platforms to build and deploy models.
• Manage ML-based use cases from definition to deployment.

Skills

Energy performance

Digital transformation

ML workflows

IoT platforms

Low-code/No-code ML

Tools

Low-code Analytics platforms

Job description

Mission

• Enable data‑driven energy optimization using ML and IoT
• 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

Profile / Skills

• 20+ years of experience in energy performance or digital transformation in industrial environments
• Strong understanding of working principles, operations and control aspects 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

Rewards / Benefits

Our Total Rewards is our way of saying: We see you and we value you. It’s more than just pay and benefits—it’s a meaningful investment in you. It is designed to help you perform, grow, feel safe, and elevate your potential. The package helps you care for yourself and your family, plan your future, grow your skills and career, collaborate in an inclusive workplace, and contribute to your community.

• Country‑specific programs and initiatives may be available.

Equal Opportunity Statement

Schneider Electric is an Equal Opportunity Employer. It is our policy to provide equal employment and advancement opportunities in the areas of recruiting, hiring, training, transferring, and promoting all qualified individuals regardless of race, religion, color, gender, disability, national origin, ancestry, age, military status, sexual orientation, marital status, or any other legally protected characteristic or conduct.