Intern, Demand Impact Modeling

About

The International Air Transport Association (IATA) represents over 350 airlines worldwide and works to make aviation safer, smarter, more sustainable, and more inclusive. The Sustainability and Economics Division takes a holistic approach to achieving net zero CO2 emissions by 2050, combining subject matter expertise with a cross-functional approach to support the environmental and financial sustainability of the airline industry. The Industry Analysis team within this division conducts research on the airline industry, producing forecasts on passenger and cargo volumes and airlines' financial performance, as well as ad-hoc analyses, regular publications, and presentations for internal and external stakeholders. Conduct a structured literature review spanning transport, energy, trade, and tourism economics to compare price elasticity estimation methods, instrument validity, and demand modeling best practices. Estimate price elasticities of air travel demand at various levels using basic panel econometric methods (e.g., OLS, fixed effects) within an established econometric modeling framework. Design and implement robustness and sensitivity checks, sub-sample analysis, and model diagnostics to stress-test key elasticity estimates. Produce well-documented, reproducible code in R hosted on Bitbucket, and write clear analytical memos and a final project report summarizing methodology, results, and limitations. Present interim findings to the project team, contribute to internal knowledge-sharing, and support the preparation of results for external publication or stakeholder communication. Master's degree in Economics, Econometrics, Transport Economics, or a closely related quantitative field; candidates with a background in transport modeling and experience researching price elasticities are particularly encouraged to apply. Demonstrated ability to conduct high-quality research independently with a systematic and critical approach to academic literature. Good understanding of econometrics and causal inference, ideally panel data methods (fixed effects, first differences), instrumental variables, and an understanding of simultaneity and endogeneity in demand estimation. Experience working with large-scale panel datasets and data engineering using R is a strong advantage. Familiarity with version control via GitHub or Bitbucket and a commitment to reproducible research workflows is highly preferred. Excellent written and spoken English, with the ability to communicate technical findings clearly to both specialist and non-specialist audiences; additional languages are an advantage. Capacity for independent, creative thinking in a research environment; able to take ownership of analytical tasks, identify methodological challenges, and propose solutions with limited supervision. Strong interpersonal skills and a good team player. A 6-month internship contract at IATA's Geneva office, working as an integral member of the Industry Analysis team. The role offers direct contribution to publishable research outputs for a key flagship IATA report, with scope for meaningful intellectual contributions to methodology and findings. IATA offers over 30,000 courses supporting continuous learning and professional growth, a certified equal-pay environment (Equal Salary Foundation), family-friendly policies, flexible and hybrid work options including a generous work-from-abroad policy, birthday day off, and volunteering time off. Diversity, equity, and inclusion are organizational priorities. No travel required.

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