Revenue Analytics Scientist: Dynamic Pricing & Forecasting

easyJet; Luton; Hybrid; GBP 55,000 - 80,000; Full time

Benefits offered by this job

Up to 20% annual bonus potential.

25 days holiday

Pension scheme

Life assurance

Discounted staff travel scheme

Annual credit for discount on easyJet-

Work Away scheme

Electric vehicle lease salary Sacrific

Job summary

easyJet Commercial Analytics is seeking a Commercial Data Scientist / Data Analyst to shape pricing and revenue management across the airline network. You will work at the intersection of data science, business strategy, and software engineering to develop algorithms that impact real commercial decisions every day.

The team focuses on powering pricing, network planning, scheduling, and inflight retail optimisation, reimagining the platform with modern backend and UI enhancements.

Qualifications

• 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.

Responsibilities

• 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.

Skills

SQL

Python

Statistical modelling

Time-series forecasting

Demand forecasting

Optimization

Inventory management

Bayesian inference

Education

Degree in statistics, data science, econometrics, quantitative economics, operations research, mathematics, or related field

Job description

easyJet Commercial Analytics is seeking a Commercial Data Scientist / Data Analyst to shape pricing and revenue management across the airline network. You will work at the intersection of data science, business strategy, and software engineering to develop algorithms that impact real commercial decisions every day.

The team focuses on powering pricing, network planning, scheduling, and inflight retail optimisation, reimagining the platform with modern backend and UI enhancements.