Commercial Data Scientist

easyJet Airline Company PLC; London; Hybrid; GBP 40,000 - 60,000; Full time

Job summary

A leading low-cost airline is seeking a Commercial Data Scientist to enhance strategic decision-making in pricing and revenue management. This role involves collaborating with cross-functional teams to perform data analysis, develop predictive models, and contribute to numerous commercial initiatives. Candidates with a strong analytical background and a passion for aviation will thrive in this dynamic environment.

Benefits

Career development opportunities

Inclusive workplace

Employee discounts on travel

Qualifications

• Collaborate with data scientists and analysts to define high-impact problems.
• Conduct data analysis to identify trends and opportunities.
• Experience with predictive and optimization models in Python and SQL.

Responsibilities

• Build, validate, and deploy predictive models for pricing and forecasting.
• Design and support A/B tests to measure commercial initiatives' impact.
• Integrate models with Data Engineers and BI teams for production.

Skills

Data analysis

Predictive modeling

Python

SQL

Data visualization

A/B testing

Agile methodologies

Education

Background in mathematical modelling, statistics, or economics

Tools

Power BI

Tableau

Git

GCP

AWS

Azure

Airflow

Job description

Job Description - Commercial Data Scientist (16203)

Job Description

Commercial Data Scientist ( 16203 )

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.

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

· Experience with data visualisation tools (e.g., 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

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Business Area

Business Area

Commercial

Primary Location