Weather Data Scientist (Numerical Weather Prediction)

Working hours: The team is distributed across India and the US, so expect a few hours of evening overlap with US Pacific Time on most workdays.

Overview

About Pravāh
Pravāh is an AI lab building foundational intelligence for the electric grid. We apply modern machine learning to complex physical infrastructure problems spanning grid operations, weather, and geospatial systems.
Our work sits at the intersection of computer vision, physical systems, and large-scale ML, with deployments across utilities in the United States and India. We leverage multimodal data including satellite imagery, LiDAR, and street-level data to build high-fidelity representations of grid assets and their surroundings.
We are backed by Khosla Ventures, Pear VC, and Conviction - some of the most ambitious investors in Silicon Valley.
More about who we are, what we are building, and why we are excited: Website, Pravāh on Notion.

The role
We are hiring a Weather Data Scientist to advance the next generation of weather forecasting systems for India,



with robust attention to observational data quality and geospatial consistency. You will work closely with machine learning and software engineers on two core threads:
1. Numerical weather prediction: run regional NWP models to generate high-resolution forecasts and training data.
2. ML-ready datasets: procure, process, and create ML-ready global and regional weather datasets at large scale (high volume, multi-source, long time horizons), with explicit focus on data-sparse regions.

What you'll work on
· Build and benchmark next-generation multiscale, regional, and global forecasting systems against reanalysis and observations, with particular focus on nowcasting and extreme events. The work rests on careful treatment of station, radar, satellite, and other observational data, and on geospatial alignment to model grids.
· Run cycling DA–forecast loops end to end lateral boundary conditions, SST

📌 Weather Data Scientist (New Delhi)
🏢 Pravah
📍 New Delhi