Weather Data Scientist (Numerical Weather Prediction)

Ovii's Interpretation of the Role

Pravāh seeks a Weather Data Scientist to design and operate high‑resolution numerical weather prediction systems for India, integrating physics‑based models with machine‑learning pipelines and delivering forecasts for renewable‑energy applications.

Role Snapshot

• Develop and benchmark multiscale regional and global forecasting models
• Create large‑scale, ML‑ready weather datasets
• Run high‑resolution convection‑resolving NWP simulations
• Implement rigorous deterministic and probabilistic verification
• Tailor forecasts for solar and wind power forecasting
• Collaborate with ML and software engineering teams
• Build reproducible, production‑grade HPC pipelines

Must-Have Requirements

• Mesoscale NWP model expertise (WRF, MPAS, etc.)
• High‑performance computing (HPC) experience
• Python geoscience libraries (xarray, dask, zarr, netCDF)
• TB‑scale observational dataset handling
• Forecast verification using deterministic and probabilistic metrics
• Renewable‑energy forecasting (solar GHI, wind)
• Hybrid physics‑ML system development
• Production‑grade pipeline construction
• numerical weather prediction
• high‑performance computing
• large‑scale geoscience data processing
• Master's or PhD in geophysical sciences, physics, applied mathematics, computer science, statistics, or related field
• Bachelor's degree with 3+ years relevant research or operational experience

Nice-to-Have Signals

• Experience with Indian geography projects
• Familiarity with coupled earth‑system models
• Ensemble or probabilistic forecasting experience
• Regional downscaling or S2S prediction background
• Work with operational forecasting agencies (IMD, NCMRWF, ECMWF, NOAA)
• AI‑based weather prediction and data assimilation knowledge
• Use of agentic AI tools
• Publications in atmospheric, oceanic, or climate science
• Familiarity with operational models such as IFS, GFS, BharatFS
• Indian geography projects
• operational forecasting agency collaboration

Work Setup

• Location: New Delhi, India
• Work mode: ONSITE
• Employment type: Full-Time

Not Specified in JD

• Visa sponsorship
• Salary range
• Remote eligibility
• Travel requirement
• Security clearance
• Coding test
• Portfolio
• GitHub
• Writing sample
• Cover letter

What You'll Likely Work On

• Design, implement and benchmark next‑generation multiscale forecasting systems, emphasizing nowcasting and extreme events
• Run end‑to‑end data‑assimilation cycles with lateral boundary conditions, SSTs, soil states, and spin‑up at ~1 km resolution over Indian sub‑regions
• Develop and maintain rigorous verification frameworks using deterministic (RMSE, bias) and probabilistic (CRPS, BSS) metrics
• Adapt weather models to renewable‑energy needs, delivering solar GHI and 100 m wind forecasts
• Support training of AI‑based weather prediction models and hybrid physics‑ML systems
• Procure, process, and curate global and regional weather datasets at TB scale for ML consumption
• Maintain and evolve model codebases within an operational or quasi‑operational forecasting pipeline

Good Fit If You Have

• Strong communication skills for cross‑disciplinary collaboration
• Interest in renewable‑energy applications of weather forecasts
• Experience working with large, heterogeneous geospatial datasets