Weather Scientist (Numerical Weather Prediction)

About the role

We are hiring a Weather Data Scientist to advance the next generation of weather forecasting systems for India, with strong attention to observational data quality and geospatial consistency. You will work closely with machine learning and software engineers on two core threads: This role sits at the frontier of the AI weather revolution, applying modern machine learning to earth system modeling.

What you'll do

• Build and benchmark next-generation multiscale, regional, and global forecasting systems against reanalysis and observations
• Build and operate a cycling data assimilation pipeline for our operational forecasting models, and produce the high-resolution gridded products it enables downstream
• Develop observation quality control, bias correction (VarBC), and thinning workflows that hold up at operational data volumes and degrade gracefully when feeds drop out
• Choose, deploy, and adapt a modern DA framework (e.g. JEDI/UFO, GSI, DART, PDAF) for our regional and global needs
• Run cycling DA–forecast loops end to end lateral boundary conditions, SSTs, soil states, and spin-up at convection-permitting (~1 km) resolution over Indian sub-regions

What you need

• 3–6 yrs of experience
• Python
• Machine learning
• Statistics
• Physics
• LLMs
• Solar
• PhD

What you get

• ₹19 L–₹38 L a year