Renewable Energy Modeler at Sustainability Economics.Ai in Bengaluru, Karnataka, India | Kablio

Role

Description

renewable modelling

ai platform

policy impact

data analysis

excel/python

grid integration

A renewable energy modeller’s role summary is to develop and apply energy system models to simulate, analyze, and optimize the performance of solar, wind, and other renewable projects or building systems. The role delivers detailed reports, validates models against real-world performance, and helps ensure environmental compliance, cost-effectiveness, and efficiency throughout project development and operations.

Work on Energy transition Systems.
Work on use cases related to transition of High emitting sectors in Energy to Low/No Carbon.
Evaluating the impacts of different policy and regulatory scenarios on renewable deployment.
Shape a first-of-its-kind AI + clean energy platform.
Modeling the integration of renewables with storage and grid systems for reliability analysis.
Documenting methodologies, key assumptions, and providing transparent input/output data for project audits.
Development of renewable power generation models using MS excel/Python or similar
Collaborating with engineers and market analysts to refine assumptions and improve model accuracy.
Analyze resource data (solar, wind, etc.), energy consumption patterns, and grid constraints to optimize system design.
Develop, run, and validate models to simulate renewable energy generation, grid integration, and system performance using MS excel/Python or similar
Collaborate with engineers, architects, and policy teams to interpret results and support project development or policy decisions.
Assess project feasibility by predicting energy yield, cost, and environmental benefits, supporting site selection and planning.
Identify trends, patterns, and opportunities within energy systems.
Keeping track on the Renewable Energy market around the globe.
Analysis of meteorological data sets

Requirements

python

excel

homer

pvsyst

master's

problem solving

problem solving and analytical skills
Master’s degree or bachelor’s degree relevant to the renewable energy, engineering, environmental science, meteorology or a related field.
Startup DNA → bias to action, comfort with ambiguity, love for fast iteration, and flexible and growth mindset.
Should have experience of 3-5 years in Energy Sector
Good understanding of EXCEL/Python/R or any other programming languages
Agile, action oriented and a quick learner.
Deep understanding on the meteorological data sets
Excellent time management skills and the ability to assume leadership roles when necessary.
Knowledge on the software like Homer/ PVsyst/SAM/ Wind Pro/Windographer/WASP/ Wind Pro etc. is desirable
A team player with good interpersonal skills and problem-solving abilities.
Good understanding on mathematical modeling

Benefits

Work with a small, mission-driven team obsessed with impact.
A chance to leave your mark at the intersection of AI, energy and sustainability.

Training + Development

Information not given or found

Interview process

Information not given or found

Visa Sponsorship

Information not given or found

Security clearance

Information not given or found

Company

Overview

Founded with a vision to drive the transition to a sustainable future through advanced AI technology.
Specializes in leveraging artificial intelligence to optimize economic sustainability across various industries.
Works on projects that aim to reduce environmental impact while promoting growth and resilience in key sectors.
Has provided consulting for energy, water resources, infrastructure, and transport industries globally.
Their AI models help businesses make data-driven decisions for sustainable operations, improving efficiency and profitability.
Notable for their interdisciplinary approach, combining economic modeling with cutting-edge AI and machine learning techniques.
Has collaborated with government agencies, corporations, and NGOs to shape policies and strategies for sustainable development.

Culture + Values

Environment + Sustainability

Inclusion & Diversity

Articles

Press release: SE launches Net‑Zero Platforms

WION: Key player in financial institutions' net‑zero transition

Climate Week NYC 2024 workshop

SE Resources: Articles on sustainability topics

Role

Description

renewable modelling

ai platform

policy impact

data analysis

excel/python

grid integration

Work on Energy transition Systems.
Work on use cases related to transition of High emitting sectors in Energy to Low/No Carbon.
Evaluating the impacts of different policy and regulatory scenarios on renewable deployment.
Shape a first-of-its-kind AI + clean energy platform.
Modeling the integration of renewables with storage and grid systems for reliability analysis.
Documenting methodologies, key assumptions, and providing transparent input/output data for project audits.
Development of renewable power generation models using MS excel/Python or similar
Collaborating with engineers and market analysts to refine assumptions and improve model accuracy.
Analyze resource data (solar, wind, etc.), energy consumption patterns, and grid constraints to optimize system design.
Develop, run, and validate models to simulate renewable energy generation, grid integration, and system performance using MS excel/Python or similar
Collaborate with engineers, architects, and policy teams to interpret results and support project development or policy decisions.
Assess project feasibility by predicting energy yield, cost, and environmental benefits, supporting site selection and planning.
Identify trends, patterns, and opportunities within energy systems.
Keeping track on the Renewable Energy market around the globe.
Analysis of meteorological data sets

Requirements

python

excel

homer

pvsyst

master's

problem solving

problem solving and analytical skills
Master’s degree or bachelor’s degree relevant to the renewable energy, engineering, environmental science, meteorology or a related field.
Startup DNA → bias to action, comfort with ambiguity, love for fast iteration, and flexible and growth mindset.
Should have experience of 3-5 years in Energy Sector
Good understanding of EXCEL/Python/R or any other programming languages
Agile, action oriented and a quick learner.
Deep understanding on the meteorological data sets
Excellent time management skills and the ability to assume leadership roles when necessary.
Knowledge on the software like Homer/ PVsyst/SAM/ Wind Pro/Windographer/WASP/ Wind Pro etc. is desirable
A team player with good interpersonal skills and problem-solving abilities.
Good understanding on mathematical modeling

Benefits

Work with a small, mission-driven team obsessed with impact.
A chance to leave your mark at the intersection of AI, energy and sustainability.

Training + Development

Information not given or found

Interview process

Information not given or found

Visa Sponsorship

Information not given or found

Security clearance

Information not given or found