About TravelX:
TravelX, a pioneer in airline inventory and post-booking revenue management technology, empowers airlines to shift from static to dynamic post-booking inventory, enabling them to increase conversion, enhance revenue optimization, and offer passengers greater flexibility. By bridging existing airline systems with innovative inventory logic, TravelX’s RmX solution allows for upselling, seat upgrading, and flight swapping, without disrupting the core infrastructure.
We are working with leading carriers, such as GOL, AirAsia X Berhad, Viva Aerobus, Flybondi, and Volaris, helping them adopt a smarter approach to inventory and retail.
About the Role
We are looking for an Applied Data Scientist to design, prototype, and validate both ML models and AI agents across TravelX’s ecosystem. Initially, you’ll focus on RmX and its supporting agents (Offer, Flow, Notification), but your scope will expand to future products and new agent hierarchies. You will combine predictive intelligence (Bookings, Inventory, Demand Curves, forecasting) with generative orchestration to drive measurable outcomes for airlines.
Key Responsibilities
- Develop and refine predictive models for:
- Full flight probability and O&D modeling for demand forecasting.
- Elasticity and demand curves to optimize offers and pricing.
- Customer interaction models (Notification, Flow, personalization). - Extend these capabilities into future products by developing new models and embedding them into AI Agents.
- Collaborate on AI agent logic (e.g., Offer Agent, Flow Agent, Notification Agent, BrAInX, and future new product agents).
- Build and maintain data pipelines integrating airline data sources (Bookings, Inventory, Demand Curves) with TravelX’s AWS-based datasets.
- Operate within the Google Cloud AI stack, including Vertex AI, Feature Store, Pipelines, and BigQuery, for training, retraining, and orchestration.
- Partner with the Infra/Archi team to design a cost-efficient, scalable unified Data & AI platform.
- Conduct experimentation, A/B testing, and continuous evaluation of models and agents in production.
- Collaborate with product managers and engineers to transition prototypes into production-ready features.
What We’re Looking For
- 3+ years of applied ML/Data Science experience (Python, SQL, scikit-learn, XGBoost, PyTorch/TensorFlow).
- Experience with Google Cloud Vertex AI components (Feature Store, Pipelines, Model Registry, BigQuery).
- Familiarity with LLMs and orchestration frameworks (LangChain, LlamaIndex, Hugging Face).
- Proven ability to build data pipelines from airline systems (Bookings, Inventory, Demand Curves) and AWS datasets.
- Strong grounding in forecasting, elasticity, and airline data-driven modeling.
- Flexible mindset to expand beyond RmX into future products and emerging agents.
- Airline or travel domain knowledge (revenue management, ancillaries, NDC/GDS) is a huge plus.
What We Offer:
Join an innovative company redefining commerce in the airline industry. You will find opportunities to strategically impact TravelX’s expansion and co-build a dynamic, multicultural, and high-growth work environment.
