Senior Commercial Data Scientist – Optimisation

easyJet
London
8 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Data Analyst

Business / Data Analyst

Data Analyst

Senior Commercial Data Scientist – Optimisation(16147)

Description

Senior Commercial Data Scientist – Optimisation

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 (, 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 (, 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 (, 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 (, 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


Desireable experience


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


·Familiarity with airline planning domains (, slot planning, scheduling).


·Exposure to cloud platforms (, GCP, AWS and Azure) and version control ().


·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

Commercial

Primary Location

United Kingdom-London-London Luton Airport

Organisation

Commercial

Schedule

Full-time

Unposting Date

Ongoing

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

New Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.