Commercial Data Scientist

easyJet; Luton; Hybrid; GBP 50,000 - 70,000; Full time

Job summary

A leading airline company is seeking a Commercial Data Scientist to support data-driven solutions in Luton/Hybrid. The role involves collaborating with teams, conducting in-depth data analysis, and deploying predictive models using Python and SQL. Candidates should have experience in data science and strong analytical skills. This full-time position typically requires 2-3 in-person days per week.

Qualifications

• Experience in data science, analytics, or a related field.
• Proficiency in building and deploying models using Python and SQL.
• Strong communication skills to present findings effectively.

Responsibilities

• Collaborate with data scientists and stakeholders to define problems.
• Conduct in-depth data analysis to identify trends and opportunities.
• Build and deploy predictive and optimization models.

Skills

Data analysis

Python

SQL

A/B testing

Communication skills

Data visualization

Tools

Power BI

Tableau

Git

Job 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 is eager to tackle high-impact, system-level decisions in the aviation industry.

You will:

1. Collaborate with senior/lead data scientists, analysts, and business stakeholders to scope and define high-impact problems.
2. Conduct in-depth data analysis to identify trends and opportunities in booking patterns, route performance, pricing elasticity, and customer segments.
3. Build, validate, and deploy predictive and optimisation models in Python and SQL for use in pricing, forecasting, route/network performance, or operational optimisation.
4. Design and support A/B tests and data experiments to measure the impact of commercial initiatives.
5. Work with Data Engineers, MLOps Engineers, and BI teams to integrate models into production pipelines and dashboards.
6. Collaborate with Network and Scheduling Planning, Operations, Trading and Revenue Management, Inflight Retail, and IT teams to gather requirements and translate business problems into mathematical models.
7. Communicate findings and recommendations clearly, both in technical detail and at a business level.
8. Contribute to the improvement of internal tools and codebases used across the Commercial Data Science team.

What You’ll Need:

1. Experience in data science, analytics, or a related field, with the ability to analyze complex datasets and derive insights.
2. Proficiency in Python and SQL for building and deploying models.
3. Experience with designing and supporting A/B tests and data experiments.
4. Ability to work collaboratively with cross-functional teams to translate business needs into mathematical models.
5. Strong communication skills to present technical findings to non-technical stakeholders.
6. Desirable: Exposure to pricing, network optimisation, or demand forecasting problems.
7. Experience with data visualization tools (e.g., Power BI, Tableau).
8. Familiarity with version control (Git), cloud platforms (GCP, AWS, or Azure), or orchestration tools (Airflow).
9. Experience working in or with aviation, travel, retail, or transportation industries.

Additional Information:

These are full-time positions, typically requiring 2-3 in-person days per week.

About easyJet

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

Carrying over 90 million passengers a year across 35 countries, our team effort is key. Whether in front-line operations or corporate functions, our people are positive, inclusive, and ready to take on challenges. We call this our ‘Orange Spirit’ — and we hope you’ll share it too.

Apply

Complete your application on our careers site. We value individuality, initiative, and continuous learning. We are committed to diversity and inclusion, making reasonable adjustments during the interview process and employment as needed.

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