Senior Commercial Data Scientist – Optimisation

easyJet Airline Company PLC; London; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

A leading low-cost airline is seeking a Senior Commercial Data Scientist to join their Commercial organization. The role involves designing optimisation algorithms that impact long-term capacity planning and fleet assignment. Candidates should have a strong background in operations research and at least 3 years' experience in applying optimisation in commercial contexts. Flexible benefits, competitive salary, and discounted travel perks are included.

Benefits

Competitive base salary

Annual bonus

Flexible benefits package

Discounted staff travel

Work Away scheme

Qualifications

• Strong academic background in mathematical modelling and optimisation.
• Minimum 3 years’ experience in commercial applications of optimisation.
• Ability to work cross-functionally and influence stakeholders.

Responsibilities

• Design and implement optimisation models for scheduling and network decisions.
• Collaborate with teams to translate business problems into mathematical models.
• Run simulations and validate models using historical data.

Skills

Mathematical modelling

Optimisation algorithms

Data analysis

Cross-functional communication

Education

MSc or PhD in Operations Research, Applied Mathematics, Engineering, or related field

Tools

Python

SQL

Gurobi

CPLEX

Pyomo

Job description

Job Description - Senior Commercial Data Scientist – Optimisation (16147)

Job Description

Description

The Team

. As part of the Commercial organization, the Network & Scheduling departments are responsible for allocating and scheduling more than 100 million seats across the network annually. The primary focus of this role is to design, develop, and improve optimisation algorithms that support easyJet’s scheduling and network planning decisions. You will apply techniques from operations research and advanced optimisation (e.g. linear programming, mixed-integer programming, network flow, and heuristics) to solve large-scale, real-world problems that directly impact aircraft utilisation, route selection, and long-term capacity planning.

The role involves developing models and decision-support tools using Python, SQL, and industry-standard optimisation solvers (e.g. Gurobi, CPLEX, or Pyomo), validating results with operational data, and communicating insights with key stakeholders. Collaboration with the Network, Operations, and Commercial teams is key to ensuring that solutions are robust, scalable, and aligned with strategic goals.

You will report to the Senior Commercial Data Science Manager. This role is ideal for someone with a strong background in mathematical modelling and optimisation, who is eager to tackle high-impact, system-level decisions in the aviation industry.

JOB RESPONSIBILITES

· Design and implement optimisation models to support fleet assignment, aircraft routing, hub planning, and network growth decisions.

· Collaborate with Network and Scheduling Planning, Operations, Trading and Revenue Management, and IT teams to gather requirements and translate business problems into solvable mathematical models.

· Develop prototypes and production-ready algorithms using Python, SQL, and commercial/open-source solvers (e.g., Gurobi, CPLEX, or Pyomo).

· Run simulations and scenario analyses to support long-term planning and short-term scheduling strategies in Commercial.

· Validate model outputs using historical data, sensitivity testing, and stakeholder feedback.

· Monitor performance and continuously improve algorithms based on business performance and operational feedback.

· Communicate technical concepts, trade-offs, and insights clearly to non-technical stakeholders.

Requirements of the Role

What You’ll Need:

· Strong academic background in Operations Research, Applied Mathematics, Engineering, Computer Science, or related field (MSc or PhD preferred).

· Minimum 3 years’ experience preferably in commercial area or demonstrated experience in building and deploying optimisation models in real-world business contexts.

· Proficiency in Python and SQL

· Understanding of linear programming, mixed-integer programming, heuristics, and/or network flow optimisation.

· Experience in optimisation solvers (e.g. Gurobi, CPLEX, or Pyomo)

· Experience working with large datasets and commercial planning systems

Ability to work cross-functionally and influence stakeholders through clear and concise communication

· Previous experience in aviation, transportation, logistics, or supply chain optimisation.

· Familiarity with airline planning domains (e.g. aircraft routing, slot planning, scheduling).

· Exposure to cloud platforms (e.g. Databricks, GCP, AWS and Azure) and version control (e.g. Git).

· Experience working in Agile product teams or similar collaborative environments.

What You’ll Get in Return:

A dynamic and creative team environment

Competitive base salary and annual bonus

BAYE, SAYE & Performance share schemes

Flexible benefits package (life insurance, pension, holidays)

‘Work Away’ scheme, allowing you to work abroad for 30 days a year.

Discounted staff travel with access for family and friends.

Annual credit for discount on easyJet holidays

If you thrive on innovation and enjoy working at the forefront of pricing and revenue management, we’d love to hear from you!

Location & Hours of Work

These are full-time positions and we typically get together 2-3 times a week.

About easyJet

At easyJet our aim is to make low-cost travel easy – connecting people to what they value using Europe’s best airline network, great value fares, and friendly service.

It takes a real team effort to carry over 90 million passengers a year across 35 countries. Whether you’re working as part of our front-line operations or in our corporate functions, you’ll find people that are positive, inclusive, ready to take on a challenge, and that have your back. We call that our ‘Orange Spirit’, and we hope you’ll share that too.

Apply

Complete your application on our careers site.

We encourage individuality, empower our people to seize the initiative, and never stop learning. We see people first and foremost for their performance and potential and we are committed to building a diverse and inclusive organisation that supports the needs of all. As such we will make reasonable adjustments at interview through to employment for our candidates.

#LI-CH1 #LI-HYBRID

Business Area

Business Area

Commercial

Primary Location