Data Scientist – Smart Metering

Overview

Role Overview

We are looking for a detail-oriented and business-savvy Data Scientist with a strong domain understanding of smart metering and utility data. This role is central to transforming raw metering data into actionable insights and delivering high-quality dashboards and analytics to support operational and strategic decision-making across the organization.

The ideal candidate is not only technically proficient in data analysis and visualization but also able to interpret metering patterns, consumption behavior, and system anomalies that impact customer experience, revenue, and operational efficiency.

Key Responsibilities

• Analyze large volumes of smart metering data (interval consumption, events, read quality, exceptions) from MDM and HES systems.
• Identify and interpret consumption patterns, anomalies, and trends that drive actionable insights for business and product teams.
• Design and build dashboards, visualizations, and reports using tools.
• Collaborate with product managers, operations, and engineering teams to define data requirements and design meaningful analytics views.
• Develop rule-based or statistical models for event analytics, billing exceptions, load profiling, and customer segmentation.
• Translate complex findings into easy-to-understand business insights and recommendations.
• Ensure data consistency, accuracy, and integrity across different systems and reporting layers.
• Build automated pipelines to support near real-time and periodic reporting needs.

Skills and Qualifications

Must Have:

• 3+ years of experience working with utilities, energy data, particularly from smart meters.
• Strong SQL skills and experience working with relational databases and data marts.
• Proficiency in data visualization tools.
• Solid understanding of smart meter data structure (interval reads, TOU, events, consumption patterns).
• Ability to independently explore data, validate assumptions, and present clear narratives.

Preferred:

• Familiarity with MDM (Meter Data Management), HES, and utility billing systems.
• Exposure to AMI events analysis, load curves, and customer behavior analytics.
• Knowledge of regulatory requirements, data retention, and data privacy in the energy sector.
• Experience working with large-scale datasets and data platforms (e.g., Delta Lake, Apache Airflow, Apache Spark).

Job Type: Full-time

Pay: ₹1,200,000.00 - ₹1,500,000.00 per year

Schedule:

• Day shift

Work Location: In person