Lead Climatologist – WeatherGuard AI

22 hours ago

Aluva, Kerala, India Canary Digital Full time ₹ 1,04,000 - ₹ 1,30,878 per year

Lead Climatologist – WeatherGuard AI

Location:
Aluva / Remote (Hybrid)

Organization:
Canary

Canary is building
WeatherGuard AI
, a next-generation Marine & Aviation Intelligence platform that fuses rainfall histories, radar, satellite, oceanographic, and aviation datasets with AI-driven forecasting.

We are seeking a
Lead Climatologist
to anchor the climatology and atmospheric science foundation of this system. The role can be structured as
full-time
or on a
consultancy/advisory basis
, depending on availability and mutual agreement.

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.

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