Role overview
Employment Type: Permanent
Contract Duration:
Why you will love working here
At IATA, we represent over 350 airlines worldwide, striving to make aviation safer, smarter, more sustainable, and inclusive.
- Our Values are not just words on a page - they are the energy behind everything we do: ONE IATA - We collaborate across teams, TRUSTED - We do the right thing, INNOVATIVE - We make tomorrow better, INCLUSIVE - We embrace diverse perspectives.
- With over 30,000 courses available, we believe in continuous learning and support your growth in an ever-changing industry.
- Diversity, equity, and inclusion are our priorities. We are certified by the Equal Salary Foundation, offering equal pay and family-friendly policies.
- We encourage community involvement through volunteering and strive to make tomorrow better for aviation and our communities. We offer time off so you can support causes important to you.
- We promote work-life balance with flexible work options, including remote and hybrid work, a generous 'work from abroad' policy, and you get your birthday off!
About the team you are joining
The Data Scientist will be responsible for independently delivering well-scoped data science solutions, potentially involving multiple business areas, under the guidance of senior data science and domain leads. Working under the guidance of senior team members, the role focuses on turning clarified use cases into robust, production‑ready analytical or machine‑learning solutions. The ideal candidate should have a strong understanding of statistical modelling, machine learning, and data analysis techniques. They will work closely with stakeholders across IATA to identify opportunities and deliver data science projects from initial concept through to successful implementation.
What your day would be like
Reporting to the Head Data Science, you will be an integral part of the Data Science team, collaborating with the organisation’s Data team to develop machine learning models and solutions to address complex business challenges.
Work directly with business stakeholders to clarify requirements, assess feasibility, and translate needs into concrete analytical or modelling tasks, seeking senior guidance when decisions have wider architectural or organisational impact.
Take ownership of well‑scoped data science use cases, from problem refinement and data exploration through to model development, validation, and handover.
Select appropriate technical methods and tools, balance quality, feasibility, and timelines, and escalate broader architectural choices when needed.
Coordinate contributions from team colleagues to keep scoped projects on track, proactively identifying risks, blockers, and dependencies and with the wider technical teams to ensure solutions align with best practices, operational requirements, and team standards.
Communicate progress, insights, and next steps to stakeholders in a clear, structured way, with support for complex, sensitive, or cross‑team communication.
Contribute, when appropriate, to data science and AI communities, as well as governance activities.
We would love to hear from you if
A master’s degree in data science, mathematics, engineering, physics, or a related field.
Strong quantitative, statistical, and programming skills are required, along with experience in data analysis and machine learning model development.
3+ years of experience in Data Science or equivalent work experience in advanced ML, time series or deep learning algorithms for regression, classification, forecasting and/or clustering problems.
Experience with natural language processing techniques (NLP) and Generative AI.
Good understanding of deep learning techniques and frameworks.
Experience with cloud-based machine learning services such as GCP Vertex AI, AWS SageMaker and/or Snowflake is an advantage.
Familiarity with Agile development, and data or ML engineering experience is an advantage.
Travel Required: N
*Learn more about IATA’s role in the industry, our benefits, and the team at iata/careers/. We are looking forward to hearing from you!