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# Commercial Data Scientist / Data Analyst - FTC

- **Company:** Easyjet
- **Location:** Greater London, UK
- **Experience:** Experienced
- **Salary:** £41,600.0
- **Contract:** Permanent contract
- **Skills:** Algorithm Design, Information Engineering, Python (Programming Language), Machine Learning, Software Engineering, SQL Databases, Backend, Production Code, Data Analytics
- **Published:** September 10, 2026
- **Apply:** https://www.collegerecruiter.com/job/2859584478-commercial-data-scientist--data-analyst-ftc

## About the Role

* Degree in statistics, data science, econometrics, quantitative economics, operations research, mathematics, or related field
 * 2+ years of experience in commercial analytics, algorithm development, or applied statistical/machine learning modelling
 * Proficiency in SQL and Python
 * Strong understanding of commercial/pricing problems and business fundamentals
 * Advanced data skills: statistical modelling, machine learning, time-series forecasting, demand prediction, optimisation, inventory management
 * Experience with dynamic pricing, stochastic processes, or Bayesian inference is a plus

Preferred Experience

 * Background in pricing, forecasting or optimisation roles within airlines, hospitality, car rentals, e-commerce, or similar dynamic pricing industries
 * Familiarity with data engineering concepts (pipelines, data quality, testing, sampling), * Commercially minded with genuine curiosity about business problems, not just algorithms
 * Comfortable working in a fast-paced, evolving environment
 * Committed to continuous learning and iterative improvement
 * Excellent communicator who can translate technical concepts for business audiences
 * Data-driven problem solver with strong analytical rigor

## Description

Join easyJet's Commercial Analytics team and shape the future of revenue management at scale. We're building next-generation pricing and optimisation systems that directly drive business performance across the airline industry. You'll work at the intersection of data science, business strategy, and software engineering-developing algorithms that impact real commercial decisions every single day.

Our Revenue Management and Commercial Data Science chapter is responsible for powering pricing, network planning, scheduling, and inflight retail optimisation. We're currently reimagining our entire platform, modernizing the backend, redesigning the UI, and enhancing our algorithms to meet tomorrow's commercial challenges.

What You'll Do

 * Design and develop advanced algorithmic models for dynamic pricing strategies, revenue forecasting, and cost optimisation
 * Test rigorously through simulations, backtests, shadow testing, and A/B experiments to quantify real-world impact
 * Conduct research on airline commercial problems and emerging industry dynamics
 * Translate insights into action by presenting findings and recommendations to business stakeholders and subject matter experts
 * Build sustainably by maintaining robust code, comprehensive documentation, and scalable systems
 * Run and maintain existing systems, ensuring optimal performance, reliability, and continuous operational improvement
 * Collaborate cross-functionally with Trading, Network, Scheduling, Proposition, and Inflight Retail teams to implement integrated solutions


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