National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Commercial Data Scientist

easyJet
London
3 days ago
Create job alert

Commercial Data Scientist (16162)

Description

Commercial Data Scientist

Luton/Hybrid


The Team


The Commercial departments in easyJet are responsible for allocating, scheduling, pricing and providing inflight services for more than 100 million passengers across the network annually. As a Data Scientist in the Commercial function, you will play a key role in supporting and developing data-driven solutions that enhance strategic decision-making across pricing, revenue management, network & scheduling planning, and inflight retail teams. 


You’ll bring a foundation in data science and a passion for solving commercial challenges through data, algorithms, and experimentation. This role is ideal for candidates with some industry experience or strong academic exposure who are ready to take more ownership and contribute meaningfully to impactful projects.


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


You will:


Collaborate with senior/lead data scientists, analysts, and business stakeholders to scope and define high-impact problems.


·Conduct in-depth data analysis to identify trends and opportunities in booking patterns, route performance, pricing elasticity, and customer segments.


·Build, validate, and deploy predictive and optimisation models in Python and SQL for use in either pricing, forecasting, route/network performance, or operational optimisation.


·Design and support A/B tests and data experiments to measure the impact of commercial initiatives.


·Work with Data Engineers, MLOps Engineers and BI teams to integrate models into production pipelines and dashboards.


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


·Communicate findings and recommendations clearly, both in technical detail and at a business level.


·Contribute to the improvement of internal tools and codebases used across the Commercial Data Science team.

Requirements of the Role

What You’ll Need:


·Collaborate with senior/lead data scientists, analysts, and business stakeholders to scope and define high-impact problems.


·Conduct in-depth data analysis to identify trends and opportunities in booking patterns, route performance, pricing elasticity, and customer segments.


·Build, validate, and deploy predictive and optimisation models in Python and SQL for use in either pricing, forecasting, route/network performance, or operational optimisation.


·Design and support A/B tests and data experiments to measure the impact of commercial initiatives.


·Work with Data Engineers, MLOps Engineers and BI teams to integrate models into production pipelines and dashboards.


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


·Communicate findings and recommendations clearly, both in technical detail and at a business level.


·Contribute to the improvement of internal tools and codebases used across the Commercial Data Science team.


Desirable experience


·Exposure to pricing, network optimisation, or demand forecasting problems.


·Experience with data visualisation tools (, Power BI, Tableau).


·Familiarity with version control (Git), cloud platforms (GCP, AWS, or Azure), or orchestration tools (Airflow).


·Experience working in or with aviation, travel, retail, or transportation industries.


Experience working in Agile product teams or similar collaborative environments

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.


JOB FAMILY M&P

.#LI-CH1 #LI-HYBRID

Business Area

Commercial

Primary Location

United Kingdom-London-London Luton Airport

Organisation

Commercial

Schedule

Full-time

Unposting Date

Ongoing

Related Jobs

View all jobs

Data Scientist - Based in London office 1-2 days/week

Data Scientist

Senior Data Scientist

Principal Data Scientist

Technical Lead (Data Science)

Senior Home Actuarial & Data Science Manager

National AI Awards 2025

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.

10 AI Recruitment Agencies in the UK You Should Know (2025 Job‑Seeker Guide)

Generative‑AI hype has translated into real hiring: Lightcast recorded +57 % year‑on‑year growth in UK adverts mentioning “machine learning”, “LLM” or “gen‑AI” during Q1 2025. Yet supply still lags. Roughly 18,000 core AI professionals work in the UK, but monthly live vacancies hover around 1,400–1,600. That mismatch makes specialist recruiters invaluable—opening stealth vacancies, advising on salary bands and fast‑tracking interview loops. But many tech agencies sprinkle “AI” on their website without an active desk. To save you time, we vetted 50 + consultancies and kept only those with: A registered UK head office (verified via Companies House). A named AI/Machine‑Learning or Data practice.

AI Jobs Skills Radar 2026: Emerging Frameworks, Languages & Tools to Learn Now

As the UK’s AI sector accelerates towards a £1 trillion tech economy, the job landscape is rapidly evolving. Whether you’re an aspiring AI engineer, a machine learning specialist, or a data-driven software developer, staying ahead of the curve means more than just brushing up on Python. You’ll need to master a new generation of frameworks, languages, and tools shaping the future of artificial intelligence. Welcome to the AI Jobs Skills Radar 2026—your definitive guide to the emerging AI tech stack that employers will be looking for in the next 12–24 months. Updated annually for accuracy and relevance, this guide breaks down the top tools, frameworks, platforms, and programming languages powering the UK’s most in-demand AI careers.

How to Find Hidden AI Jobs in the UK Using Professional Bodies like BCS, IET & the Turing Society

Stop Scrolling Job Boards and Start Tapping the Real AI Market Every week a new headline announces millions of pounds flowing into artificial-intelligence research, defence initiatives, or health-tech pilots. Read the news and you could be forgiven for thinking that AI vacancies must be everywhere—just grab your laptop, open LinkedIn, and pick a role. Yet anyone who has hunted seriously for an AI job in the United Kingdom knows the truth is messier. A large percentage of worthwhile AI positions—especially specialist or senior posts—never appear on public boards. They emerge inside university–industry consortia, defence labs, NHS data-science teams, climate-tech start-ups, and venture studios. Most are filled through referral or conversation long before a recruiter drafts a formal advert. If you wait for a vacancy link, you are already at the back of the queue. The surest way to beat that dynamic is to embed yourself in the professional bodies and grassroots communities where the work is conceived. The UK has a dense network of such organisations: the Chartered Institute for IT (BCS); the Institution of Engineering and Technology (IET) with its Artificial Intelligence Technical Network; the Alan Turing Institute and its student-driven Turing Society; the Royal Statistical Society (RSS); the Institution of Mechanical Engineers (IMechE) and its Mechatronics, Informatics & Control Group; public-funding engines like UK Research and Innovation (UKRI); and an ecosystem of Slack channels and Meetup groups that trade genuine, timely intel. This article is a practical, step-by-step guide to using those networks. You will learn: Why professional bodies matter more than algorithmic job boards Exactly which special-interest groups (SIGs) and technical networks to join How to turn CPD events into informal interviews How to monitor grant databases so you hear about posts months before they exist Concrete scripts, portfolio tactics, and outreach rhythms that convert visibility into offers Follow the playbook and you move from passive applicant to insider—the colleague who hears about a role before it is written down.