About the opportunity
The Food and Agriculture Organization of the United Nations (FAO) is a specialized UN agency leading global efforts to eradicate hunger. In Sri Lanka, FAO is supporting the government to develop and institutionalize an advanced drought prediction system through the Technical Cooperation Programme (TCP/SRL/4102). The Climate Data Analyst will support the development, testing, and validation of trigger methodologies, impact-based forecasting approaches, and ARIMAX or AI/ML models (such as Random Forest and Artificial Neural Networks) for drought prediction. The role operates under a Personal Services Agreement (PSA) on a home-based assignment for 80 days WAE (When Actually Employed).
Salary and benefits
- Remuneration provided through a Personal Services Agreement (PSA)
- Professional engagement with the UN FAO Representation in Sri Lanka
Who can apply?
- University degree in Statistics, Data Science, Mathematics, Climate Science, Meteorology, Environmental Science, or a related field
- At least 4 years of relevant professional experience in the public or private sector in statistical analysis, climate data analysis, drought modelling, predictive modelling, or data science
- Working knowledge of English and Sinhala and/or Tamil
- National of Sri Lanka or resident of the country with a valid work permit
Required documents
- Complete online profile including employment records, academic qualifications, and language skills
- Letter of motivation attached to the online profile
When to apply
- Job Posting Date: 24/Aug/2026
- Closure Date: 07/Sep/2026, 9:59:00 PM
How to apply
- Visit the Jobs at FAO recruitment website and complete your online profile with accurate details
- Attach a letter of motivation to your online profile
- Apply and submit your application through the FAO recruitment portal before the deadline
Additional information
- FAO does not charge a fee at any stage of the recruitment process
- Incomplete applications will not be considered
- Only language proficiency certificates from UN accredited external providers and/or FAO language official examinations will be accepted
- Appointment is subject to medical fitness certification, visa or residency requirements, and security clearances
Our Take on This Opportunity
This section reflects Open Opportunities’ own analysis of the opportunity from an applicant’s perspective.
You may be a strong fit if…
- Data scientists or climate analysts with experience in AI/ML models and predictive modeling.
- Professionals with a strong background in statistics or environmental science looking to apply their skills to humanitarian drought forecasting.
- Individuals who prefer a flexible, home-based work arrangement.
What should you think carefully about?
- The role is a short-term 'When Actually Employed' (WAE) contract for 80 days, which may not provide long-term stability.
- Applicants must be nationals or residents of Sri Lanka with a valid work permit.
- Candidates should verify the specific technical requirements for the drought prediction models mentioned.
How could this fit your current goals and plans?
This assignment is ideal for a researcher or data professional looking to contribute to impactful climate action. It offers a unique chance to institutionalize drought prediction systems in Sri Lanka while maintaining a flexible work schedule.
Our take
Data professionals in Sri Lanka with expertise in predictive modeling should apply. It is less suitable for those seeking full-time, long-term employment or those without the required residency status in Sri Lanka.
Ready to apply?
Review the opportunity on the official website before applying.
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