Lead Data Science for Dynamic Pricing & Revenue

Etihad

Abu Dhabi

On-site

AED 400,000 - 600,000

Full time

7 days ago
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Job summary

Etihad Airways seeks a hands-on Data Scientist to join Solutions & Innovation and help build analytics for Revenue Management. You will own data science projects from idea to production, delivering models for dynamic pricing, forecasting and commercial decision-making, while expanding our analytics capabilities and AI applications across the business.

You will partner with Revenue Management and Commercial teams to translate complex analytics into clear, actionable insights that drive measurable

Qualifications

  • Bachelor's degree in Computer Science or quantitative field.
  • 5+ years in data science, ML or analytics.
  • Hands-on experience deploying ML models.
  • Strong Python or R and data science tools.
  • Experience with large datasets and scalable analytics.
  • Exposure to Databricks and cloud platforms (GCP, Azure or AWS).
  • Strong project leadership and stakeholder management.
  • Ability to explain complex concepts in commercial terms.

Responsibilities

  • Lead data science and AI projects from ideation to production.
  • Develop models for dynamic pricing, forecasting, optimization.
  • Evolve in-house ancillary dynamic pricing capability.
  • Identify opportunities to apply AI to commercial challenges.
  • Build analytical products and monitor model performance.
  • Partner with Revenue Management, Digital, Technology & Innovation and Commercial teams.

Skills

Hands-on DS
Project leadership
Python/R
Stakeholder mgmt
Data storytelling

Education

Bachelor's degree in CS / Data Science / Stats / Engineering

Tools

Databricks
GCP
Azure
AWS

Job description

Etihad Airways seeks a hands-on Data Scientist to join Solutions & Innovation and help build analytics for Revenue Management. You will own data science projects from idea to production, delivering models for dynamic pricing, forecasting and commercial decision-making, while expanding our analytics capabilities and AI applications across the business.

You will partner with Revenue Management and Commercial teams to translate complex analytics into clear, actionable insights that drive measurable

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