Job Description

Synopsis

Ops Research Specialist/Data Scientist that will contribute to the digital transformation process of Etihad's Revenue Management area to transform it into a competitive advantage for the company. Implement data science models in areas of pricing, forecasting and optimization to drive incremental revenues and improve efficiency. Research and assess cutting edge technologies/models applied in the RM space and contribute to proof of concepts implementation. Responsible for implementation of new code releases of RM related systems and monitor the overall usage of the systems for effective usage.

Accountabilities

• Drive revenue and automation by developing advanced analytical models (descriptive, diagnostic, predictive, prescriptive) and deploying them in the Pricing & RM ecosystem.
• Develop and maintain calibration of pricing models, forecasting, and optimization parameters in Revenue Management systems for better forecast accuracy and effective O&D controls.
• Develop and maintain revenue integrity business processes to identify and cancel PNRs for inventory violations and raise agent debit memos as per the Etihad’s policy. Co-develop and steer DIH / T&I system developments.
• Monitor the revenue benefits of the Revenue Management solutions and provide monthly reports on revenue improvements and actionable insights.
• Research on ways to enhance inventory functionalities in areas of availability calculation, reduce revenue dilution by enhancing or developing new Revenue Integrity processes, and availability troubleshooting diagnostics.
• Manage user acceptance testing of new systems and upgrades of existing RM systems to ensure delivery of requirements as per the business needs without severity one or two defects. Prioritize and coordinate the delivery of bug fixes, enhancements, and new releases of RM systems.

Education & Experience

• Bachelor’s degree in Computer Science, Engineering, Statistics, Operations Research or Economics.
• Professional with deep analytical skills with an innovative and entrepreneurial mindset
• 2 to 3 years of relevant experience in designing, implementing, and maintaining Operations Research and/or Data Science models used in commercial/operational processes. Experience within the aviation industry in the areas of Revenue Management and Business Analytics would be preferred.
• Experience in the usage of data science programming languages (R, Python) and cloud-based data warehouse (Azure synapse analytics, Google Big Query, Snowflake).
• Desirable: Experience in Dev-Ops and ML-Ops methodologies and tools.
• Desirable: experience in digital or analytics-related roles in the airline industry.

About Etihad Airways

Etihad Airways, the national airline of the UAE, was formed in 2003 and quickly went on to become one of the world’s leading airlines. From its home in Abu Dhabi, Etihad flies to passenger and cargo destinations in the Middle East, Africa, Europe, Asia, Australia and North America. Together with Etihad’s codeshare partners, Etihad’s network offers access to hundreds of international destinations. In recent years, Etihad has received numerous awards for its superior service and products, cargo offering, loyalty programme and more. Etihad is recognised as one of the world’s leading airlines in response to COVID-19 and was the first airline in the world to fully vaccinate its crew on board.

Etihad sees tackling the climate crisis as the most important issue of our time, and through strategic partnerships with major global aviation brands and OEMs, Etihad is relentless in its pursuit of industry decarbonisation.

Skills Required

• Python
• Cloud Computing
• Data Analytics
• Computer Science