For more than 40 years, Accelya has been the industry's partner for change, simplifying airline financial and commercial processes and empowering the air transport community to take better control of the future.
Whether partnering with IATA on industry-wide initiatives or enabling digital transformation to simplify airline processes, Accelya drives the airline industry forward and proudly puts control back in the hands of airlines so they can move further, faster.
The ideal candidate combines a strong foundation in applied statistics and machine learning with experience in modeling consumer behavior, price sensitivity, and real-time optimization.
You will play a central role in bringing data science innovation into production at scale.
This role is highly cross-functional: you will partner with product, engineering, RM/Revenue teams, and airline customers.
Responsibilities
Build and maintain demand-forecasting and marginal-revenue models used to produce opportunity costs (bid prices) at route/flight/segment granularity.
Derive customer segments with clustering, embeddings, and rule-based approaches that are predictive of purchase behavior.
Develop conditional choice / purchase-probability models that control for endogeneity.
Design and interpret natural or randomized experiments where applicable, using IVs, control-function approaches, double ML, or structural methods as needed.
Integrate forecasted demand, choice probabilities and bid price constraints into an optimization layer (deterministic optimization, dynamic programming, or gradient-based methods).
A/B/Experimentation & measurement: design online/offline evaluation frameworks and randomized experiments to validate price strategies, measure revenue impact, and control risk.
Production & MLOps: deploy models and optimizers into low-latency production pipelines (APIs/real-time scoring), implement monitoring for model performance, price sensitivity drift and KPI alerts.
Cross-functional delivery: communicate results and trade-offs to RM/product/stakeholders and translate business requirements into model constraints and instrumentation.
Required Skills:
Fluent English: Interviews will be held in this language.
Preferred:
Why Join Accelya?
At Accelya, you will work at the intersection of data science and aviation, tackling real-world challenges that impact global airlines.
You will have the opportunity to work with large, complex datasets, apply state-of-the-art machine learning techniques, and collaborate with a highly skilled team of data scientists, engineers, and business leaders.
Your work will directly influence how airlines optimize their pricing, forecast demand, and maximize revenue.
If you have a background in revenue management, dynamic pricing, or cloud-based AI/ML, you will have an opportunity to apply your skills on a global scale.
Ready to take flight with us?
Apply now
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