Senior Climate Scientist

ALPHAGEO GLOBAL PTE. LTD.; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

A climate and geospatial intelligence company in Singapore is seeking an experienced Climate Scientist to develop and communicate advanced climate hazard models. The ideal candidate should hold a PhD in a related field and have proven experience in hazard simulation, particularly with flooding and wildfire risks. Strong programming skills in Python and R are essential. This position offers a full-time contract at a senior/principal level.

Qualifications

• PhD required in a relevant field.
• Proven experience in hazard simulation.
• Strong programming skills in Python, R, or MATLAB.

Responsibilities

• Develop and maintain in-house climate hazard models.
• Design validation frameworks for model accuracy.
• Collaborate with cross-functional teams.

Skills

Hazard modeling and simulation

Python

R

MATLAB

GIS tools

Communication skills

Education

PhD in Climate Science

Environmental Engineering

Hydrology

Atmospheric Science

Job description

About AlphaGeo
AlphaGeo is a Singapore-based climate and geospatial intelligence company helping investors, insurers, and governments quantify physical climate risks and resilience across the built environment. Our platform integrates satellite data, AI-driven hazard models, and on-ground insights to support climate-resilient investment decisions. We work with leading institutions across Asia to deliver actionable insights on flooding, heat, drought, fire, and other hazards.

Job Summary
We are seeking an experienced Climate Scientist with deep expertise in hazard modeling and simulation, particularly in flooding and wildfire risks. The candidate will play a key role in developing, validating, and communicating advanced climate hazard models that support our real estate, infrastructure, and risk analytics products.

Key Responsibilities

• Develop and maintain in-house climate hazard models (with a focus on flooding and fire hazards).
• Design and implement validation frameworks to ensure model accuracy and reliability.
• Integrate model outputs into larger geospatial and risk-assessment platforms.
• Collaborate with cross-functional teams of data engineers, product designers, and analysts to deploy scalable modeling pipelines.
• Translate complex scientific findings into clear insights for clients, both technical and non-technical.
• Stay updated on the latest IPCC methodologies, CMIP6 datasets, and relevant hazard modeling practices.

Requirements

• PhD in Climate Science, Environmental Engineering, Hydrology, Atmospheric Science, or related field.
• Proven experience in hazard simulation, particularly flood or wildfire modeling.
• Strong programming skills (e.g., Python, R, MATLAB) and familiarity with GIS tools.
• Experience with model validation, calibration, and uncertainty quantification.
• Excellent communication skills, able to present scientific findings to diverse audiences.
• Experience working with large-scale environmental or geospatial datasets is a plus.

Location: Singapore

Employment Type: Full-time

Seniority: Senior / Principal Level