Senior Data Scientist Ancillaries

Powering the agentic revolution in travel. Sabre is an AI-native technology leader, backed by one of the world’s largest travel data clouds. Built on an open, modular, cloud-native architecture, Sabre serves as the backbone for both established leaders and bold, new disruptors, guiding them to the next age of travel retailing through intelligent, connected, and personalized experiences. With AI at its core and operating at unparalleled scale, Sabre transforms insights into innovation, empowering airlines, hoteliers, agencies and other partners to retail, distribute and fulfill travel worldwide.

Position Description for Data Scientist, Ancillaries

Sabre Ancillaries Delivery members are part of a techno-functional team specialized in implementing and delivering Ancillary Optimization, Offer Optimization, and Dynamic Pricing solutions for airlines. The Data Scientist is recognized as a subject matter expert in data science, experimentation, model performance, and airline commercial business practices, helping customers adopt and optimize Ancillaries solutions.

Responsibilities:

• Lead end-to-end data science projects, from problem definition to deployment and monitoring
• Oversee the complete solution implementation lifecycle, including project kickoff, business process assessment, and transition to customer care.
• Gain comprehensive knowledge of user interfaces to train analysts and support integration with airline business processes.
• Understand dynamic pricing and offer optimization models, collaborating with operations research teams for improved delivery to airlines.
• Design and deploy machine learning and optimization models to enhance performance and customer outcomes.
• Collaborate across all stages of implementation, from discovery to validation and customer care.
• Develop and refine predictive and statistical models for complex business challenges.
• Convert business needs into analytical frameworks, KPIs, and measurable results.
• Analyse large datasets and build reliable pipelines.
• Work with engineering and product teams to integrate models into production systems.
• Clearly communicate insights and recommendations to technical and non-technical audiences.
• Guide junior data scientists and promote best practices and innovation.

Required Experience / Skills:

• Experience in data science, machine learning, optimization, or analytics roles, preferably within airline retailing, ancillaries, pricing, or revenue management.
• Good understanding of airline ancillary products, offer management, and commercial optimization concepts is preferred.
• Experience building, evaluating, and operationalizing machine learning or optimization models using large and complex datasets.
• Strong analytical and problem-solving skills with the ability to convert business questions into data-driven solutions.
• Demonstrated ability to apply statistical, modelling, and analytical techniques to solve real-world travel or commercial business problems.
• Experience with experimentation, A/B testing, feature engineering, model monitoring, and performance measurement.
• Experience interpreting model outputs and translating findings into business recommendations for stakeholders.
• Knowledge of machine learning, forecasting, optimization, or pricing models.
• Good SQL skills and experience working with relational and non-relational databases.
• Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, or a related quantitative field desired.
• Must be highly organized, able to manage multiple priorities, and comfortable working in a fast-paced environment.
• Prior experience with airline forecasting, optimization, personalization, or retailing use cases is an advantage.
• Proficient English written and verbal communication skills; ability to explain technical concepts to non-technical audiences.
• Ability to identify issues, assess business impact, and determine when escalation is needed.
• Willingness to travel as needed to support customer engagements and business priorities.

Preferred Technical Skills

• Microsoft tools: Excel, PowerPoint, Word, and data visualization tools for analysis and presentation.
• Tools: Python, R, SQL Developer, Jupyter notebooks, and analytics or experimentation platforms.
• Databases and platforms: Google BigQuery, MongoDB, and other cloud-based analytics environments.
• Operating systems: UNIX, Linux, and Windows.
• Experience with version control, scripting, and programming languages such as Python, Java, or C++ is a plus.

We will give careful consideration to your application and review your details against the position criteria. You will receive separate notification as your application progresses.

Please note that only candidates who meet the minimum criteria for the role will proceed in the selection process.