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# Commercial Data Scientist / Data Analyst

- **Company:** Easyjet
- **Location:** Luton, UK
- **Experience:** Experienced
- **Salary:** £41,600.0
- **Contract:** Temporary contract
- **Skills:** Algorithm Design, Data Analysis, Information Engineering, Python (Programming Language), Machine Learning, SQL Databases, Production Code, Data Analytics, Build Tools
- **Published:** August 28, 2026
- **Apply:** https://uk.indeed.com/viewjob?jk=2cbe2d8f65e6a76d

## 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)

Who You Are:

 * 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, If you are a self-starter who can identify opportunities to drive greater success for the team and have a track record of building strong relationships with internal stakeholders, we would love to hear from you. Apply now to join our dynamic team!

## Description

* 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

About Our Team

We're a diverse team of engineers, economists, statisticians, mathematicians, and computer scientists-all united by a passion for solving complex commercial problems with data and algorithms.

We leverage cutting-edge techniques in data analysis, machine learning, and optimisation to build systems that automate decision-making and drive competitive advantage. If you thrive in intellectually challenging environments and want your work to have immediate business impact, you'll fit right in.


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