Senior Data Scientist (Renewable Energy)

Overview:

Inuka is working with a leading renewable energy company to bring on a Senior Data Scientist based in Gurgaon. The role will focus on developing data-driven solutions to improve forecasting, asset performance, and operational efficiency across solar, wind, and energy storage projects.

Responsibilities:

• Develop and implement predictive models, optimization algorithms, and performance analytics for renewable energy assets.
• Analyze large datasets from solar, wind, and BESS operations to identify trends, improve reliability, and optimize energy output.
• Collaborate with engineering, operations, and digital teams to turn complex data into actionable insights.
• Build and maintain dashboards and visualization tools for performance monitoring and reporting.
• Ensure data integrity and lead continuous improvement of data systems and analytics frameworks.
• Research and apply emerging data science techniques to enhance forecasting accuracy and decision-making.

Qualifications:

• Bachelor’s degree in Data Science, Computer Science, Statistics, Engineering, or a related field (Master’s preferred).
• 5–10 years of experience in data analytics or data science, ideally within renewable energy, utilities, or infrastructure.
• Strong proficiency in Python, R, SQL, and machine learning libraries (TensorFlow, PyTorch, Scikit-learn).
• Hands-on experience with time-series analysis, statistical modeling, and data visualization.
• Familiarity with SCADA systems, IoT data, or energy performance analytics is an advantage.
• Strong analytical, problem-solving, and communication skills with the ability to work cross-functionally.