Lead Climatologist – WeatherGuard AI

Lead Climatologist – WeatherGuard AI

Location:

Organization:

WeatherGuard AI

Lead Climatologist

Key Responsibilities

• Data & Modeling

• Curate and analyze climate datasets (ERA5, CMIP6, IMERG, HYCOM, CMEMS, buoy & radar archives).
• Develop methodologies for

  QPE (Quantitative Precip Estimation)

  and

  QCE (Quantitative Current Estimation)

  .
• Guide assimilation of rainfall, currents, waves, and tide datasets into unified models.

• Forecasting & Validation

• Collaborate on design of

  AI-driven rainfall and ocean current forecasts

  .
• Establish skill metrics and validation frameworks against gauges and station networks.
• Support integration of aviation climatology (turbulence, wind shear, visibility indices).

• Domain Leadership

• Mentor the AI/ML team on climatological best practices.
• Advise on extreme events (monsoons, cyclones, storm surges, turbulence corridors).
• Represent WeatherGuard AI in collaborations with IMD, INCOIS, IITM, ECMWF, and other climate centers.

• Impact & Translation

• Translate scientific outputs into

  actionable insights

  for Navy, Ports, Aviation, and Disaster Management.
• Shape dashboards, tiles, and alerts to reflect climatological reliability.

Qualifications

• PhD/Master’s in Climatology, Atmospheric Science, Meteorology, Oceanography, or related field.
• 10+ years research or applied experience in climatology / weather modeling / marine or aviation meteorology.
• Proven expertise with datasets like ERA5, IMERG, CMIP, HYCOM, WaveWatch III.
• Knowledge of assimilation techniques (Kalman filters, variational assimilation).
• Strong coding skills in Python (xarray, netCDF4, numpy, matplotlib); GIS a plus.
• Track record of publications or operational contributions (IMD, INCOIS, IITM, WMO, ECMWF, or equivalent).

Engagement Model

• Open to

  Full-time

  or

  Consultancy (Advisory)

  arrangements.
• Consultancy engagement may include:
• Monthly/quarterly advisory sessions.
• Review of data assimilation & forecast models.
• Validation of AI-driven outputs against climatological standards.
• Mentorship of AI/data science team.
• Short-term project-based consulting also possible for

  specific pilots

  (e.g., Navy, Ports, ATC).

What We Offer

• Opportunity to shape India’s first of it's kind

  AI-powered Marine & Aviation Intelligence platform

  .
• Collaboration with a passionate cross-functional team (AI, oceanography, aviation).
• Advisory recognition for senior climatologists with

  15–25 years experience

  (IMD, INCOIS, IITM, ECMWF).
• Flexible engagement models and competitive consultancy packages.