About the Role
The Electricity & Renewables Division at TERI is seeking a motivated early-career professional with a background in Mechanical Engineering, Electrical Engineering, Energy Engineering, or a related discipline, complemented by specialization in Artificial Intelligence (AI), Machine Learning (ML), Data Science, or Analytics.
The selected candidate will work at the intersection of energy systems, renewable energy, and data science, supporting research projects through advanced analytics, interactive dashboards, predictive modelling, and AI-enabled decision-support tools.
Key Responsibilities:
- Develop AI/ ML and data analytics solutions for research projects in renewable energy, power systems, energy transition, and sustainability.
- Collect, clean, integrate, and manage large datasets from field surveys, GIS, IoT devices, simulations, and secondary sources.
- Build interactive dashboards and visualization tools (Power BI, Tableau, Plotly Dash, Streamlit, etc.) to communicate research findings and support decision-making.
- Develop statistical, predictive, optimization, and machine learning models for energy system analysis and forecasting.
- Support the development of digital tools, databases, and automated analytical workflows for research projects.
- Work closely with multidisciplinary teams to transform engineering and policy research into data-driven insights.
- Contribute to technical reports, research publications, project proposals, and client presentations.
- Keep abreast of emerging AI, machine learning, and data science techniques relevant to energy and sustainability applications.
0 - 3 Years
Qualifications & Profile
- Bachelor-s degree in mechanical engineering- Electrical Engineering- Energy Engineering- or a related discipline.
- Master-s degree or specialization in Artificial Intelligence- Machine Learning- Data Science- Analytics- Computer Science- Statistics or a closely related field.
Desired Qualifications
- Proficiency in Python and SQL.
- Experience with Pandas- NumPy- Scikit-learn- TensorFlow/ PyTorch (or equivalent ML frameworks).
- Knowledge of statistical analysis- predictive modelling- time-series forecasting- optimization- and data visualization.
- Familiarity with GIS tools (QGIS/ ArcGIS) and geospatial datasets will be an advantage.
- Exposure to renewable energy- power systems- sustainability- or engineering datasets is desirable.
Delhi
As per Industry Standards
Please apply latest by August 16, 2026
