Sustainability Economics.Ai
Sustainability Economics.ai provides AI-driven solutions to promote sustainable development and economic growth.
Develop and analyze renewable energy system models using Excel/Python.
23 days ago
Intermediate (4-7 years), Experienced (8-12 years)
Full Time
Bengaluru, Karnataka, India
Office Full-Time
Company Size
50 Employees
Service Specialisms
Carbon accounting
Reporting
AI/ML‑driven climate scenario analysis
Transition financing
Carbon credits
Blockchain‑driven marketplace
Climate metrics
Sector Specialisms
Industrial
Energy
Infrastructure
Buildings
Residential
Commercial
Water Resources
Heavy Civil
Role
Description
renewable modelling
performance simulation
data analysis
feasibility assessment
policy evaluation
report documentation
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.
- Develop, run, and validate models to simulate renewable energy generation, grid integration, and system performance using MS excel/Python or similar
- Work on Energy transition Systems.
- Modeling the integration of renewables with storage and grid systems for reliability analysis.
- Identify trends, patterns, and opportunities within energy systems.
- Development of renewable power generation models using MS excel/Python or similar
- Assess project feasibility by predicting energy yield, cost, and environmental benefits, supporting site selection and planning.
- Collaborate with engineers, architects, and policy teams to interpret results and support project development or policy decisions.
- Work on use cases related to transition of High emitting sectors in Energy to Low/No Carbon.
- Shape a first-of-its-kind AI + clean energy platform.
- Analysis of meteorological data sets
- Evaluating the impacts of different policy and regulatory scenarios on renewable deployment.
- Documenting methodologies, key assumptions, and providing transparent input/output data for project audits.
- Keeping track on the Renewable Energy market around the globe.
- Analyze resource data (solar, wind, etc.), energy consumption patterns, and grid constraints to optimize system design.
- Collaborating with engineers and market analysts to refine assumptions and improve model accuracy.
Requirements
mathematical modeling
problem solving
meteorological data
master's
python
agile
- Good understanding on mathematical modeling
- problem solving and analytical skills
- Startup DNA → bias to action, comfort with ambiguity, love for fast iteration, and flexible and growth mindset.
- Deep understanding on the meteorological data sets
- A team player with good interpersonal skills and problem-solving abilities.
- Master’s degree or bachelor’s degree relevant to the renewable energy, engineering, environmental science, meteorology or a related field.
- Excellent time management skills and the ability to assume leadership roles when necessary.
- Agile, action oriented and a quick learner.
- Knowledge on the software like Homer/ PVsyst/SAM/ Wind Pro/Windographer/WASP/ Wind Pro etc. is desirable
- Should have experience of 3-5 years in Energy Sector
- Good understanding of EXCEL/Python/R or any other programming languages
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.