Data Scientist

Employment Type: Permanent
Contract Duration: 

At IATA, we speak for the airlines of the world, serving and supporting over 300 of them across all continents. We are passionate and knowledgeable about the aviation industry, and we strive to make it safer, smarter, more sustainable and more inclusive. We celebrate diversity and inclusion in our workforce, and we respect and value the different backgrounds, perspectives and skills of our employees. We also care about our employees’ wellbeing, and we provide flexible work arrangements, travel benefits, family-friendly policies, equal pay and a day off on your birthday. We believe in giving back to the community and encourage our staff to participate in volunteering activities that support causes they care about. We encourage you to join our global community of aviation enthusiasts, and we will do our best to make you feel comfortable during the interview process. IATA is more than a trade association; it is a vision of a better future for air travel.

The Data Scientist will be responsible for designing and implementing cross-divisional data science solutions to use cases that span across multiple business areas. The ideal candidate should have a strong understanding of statistical modelling, machine learning, and data analysis techniques. He/she will work closely with stakeholders across IATA to identify opportunities for using data to drive business value and will be responsible for developing data science projects from conception to delivery.

Reporting to the Senior Data Scientist, you will be an integral part of the Data Science team, collaborating with the Data Architect and Data engineering team to create machine learning models and algorithms to address complex business challenges.

Contribute to the IATA data-oriented future by leveraging your knowledge, experience and skills to put data at the centre and transform how we approach decision-making, project work and value-creation.

Collect, prepare and transform data, and recommend improvements to the data environment and data collection process including data submission formats and standards.

Develop and implement statistical modelling and machine learning solutions that integrate with existing systems and processes.

Visualize and interpret analytical results for business and translate analytics into business language, present complex information to internal and external stakeholders.

Participate as a member on the Artificial Intelligence Technical Board, Gen AI Working Groups and other key internal data science communities.

Preferably a master’s degree in mathematics, engineering, physics or related discipline – a post graduate degree can be acceptable with more extensive practical experience.

Proficient quantitative, statistical, and programming skills – including experience in data science and analysis a as well as experience in machine learning in the form of developing analytical and predictive models.

5 years experience in Data Science or equivalent work experience in advanced ML, time series or deep learning algorithms for regression, classification, forecasting or clustering problems.

Experience with natural language processing techniques and Generative AI.

Experience with cloud-based machine learning services such as AWS SageMaker and Snowflake.

Solid understanding of deep learning techniques and frameworks such as TensorFlow or PyTorch.

Experience with agile development methodologies, data or ML engineering is an advantage

Travel Required: N