Revenue & Pricing Data Scientist

easyJet Airline Company PLC; Greater London; Hybrid; GBP 65,000 - 90,000; Full time

Benefits offered by this job

Competitive base salary

Annual bonus potential

25 days holiday

Pension scheme

Life assurance

Discounted staff travel

Holiday discounts on easyJet holidays

Work Away scheme

EV lease salary sacrifice

Job summary

easyJet is seeking a Commercial Data Scientist / Data Analyst to shape pricing, forecasting and revenue management within the Commercial Analytics team. You will work at the intersection of data science, business strategy, and software engineering to develop algorithms that drive commercial decisions.

The role involves reimagining pricing platforms, improving backend systems, and delivering scalable, data-driven solutions that impact thousands of flights daily.

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 is seeking a Commercial Data Scientist / Data Analyst to shape pricing, forecasting and revenue management within the Commercial Analytics team. You will work at the intersection of data science, business strategy, and software engineering to develop algorithms that drive commercial decisions.

The role involves reimagining pricing platforms, improving backend systems, and delivering scalable, data-driven solutions that impact thousands of flights daily.