Senior Commercial Data Scientist – Optimisation
Senior Commercial Data Scientist – Optimisation

Senior Commercial Data Scientist – Optimisation

London Full-Time 48000 - 84000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Design and improve optimisation algorithms for aircraft scheduling and network planning.
  • Company: Join easyJet, a leading airline connecting millions across Europe with great value fares.
  • Benefits: Enjoy flexible work options, competitive salary, staff travel discounts, and a dynamic team environment.
  • Why this job: Make a real impact in aviation while collaborating with diverse teams in a creative atmosphere.
  • Qualifications: Strong background in Operations Research or related fields; proficiency in Python and SQL required.
  • Other info: Work hybrid, with opportunities to travel abroad for 30 days a year.

The predicted salary is between 48000 - 84000 £ per year.

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

#J-18808-Ljbffr

Senior Commercial Data Scientist – Optimisation employer: easyJet Airline Company PLC

easyJet is an exceptional employer that fosters a dynamic and creative team environment, perfect for those passionate about innovation in the aviation industry. With competitive salaries, flexible benefits, and unique opportunities like the 'Work Away' scheme, employees can enjoy a fulfilling work-life balance while contributing to a culture that values collaboration and inclusivity. The company prioritises employee growth through continuous learning and development, making it an ideal place for professionals eager to make a meaningful impact.
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Contact Detail:

easyJet Airline Company PLC Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Commercial Data Scientist – Optimisation

Tip Number 1

Familiarise yourself with the specific optimisation techniques mentioned in the job description, such as linear programming and heuristics. Being able to discuss these concepts confidently during your interview will demonstrate your expertise and enthusiasm for the role.

Tip Number 2

Showcase your experience with Python and SQL by preparing examples of past projects where you developed optimisation models. Be ready to explain how you approached problem-solving and the impact your solutions had on the business.

Tip Number 3

Research easyJet's current operations and challenges in network planning and scheduling. This knowledge will allow you to tailor your discussions and show how your skills can directly contribute to their goals.

Tip Number 4

Network with professionals in the aviation and data science fields, especially those who have experience with optimisation. Engaging with industry experts can provide valuable insights and potentially lead to referrals that strengthen your application.

We think you need these skills to ace Senior Commercial Data Scientist – Optimisation

Mathematical Modelling
Optimisation Algorithms
Operations Research
Linear Programming
Mixed-Integer Programming
Network Flow Optimisation
Heuristics
Python Programming
SQL Proficiency
Experience with Optimisation Solvers (Gurobi, CPLEX, Pyomo)
Data Analysis
Simulation and Scenario Analysis
Stakeholder Communication
Cross-Functional Collaboration
Experience with Large Datasets
Cloud Platforms (Databricks, GCP, AWS, Azure)
Version Control (Git)
Agile Methodologies
Knowledge of Aviation Industry
Understanding of Airline Planning Domains

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in optimisation, mathematical modelling, and programming skills in Python and SQL. Use specific examples from your past work that demonstrate your ability to solve complex problems in a commercial context.

Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and easyJet's mission. Discuss how your background in operations research and experience with optimisation algorithms align with the job responsibilities. Be sure to mention any familiarity with aviation or logistics.

Showcase Technical Skills: Clearly outline your proficiency with optimisation solvers like Gurobi, CPLEX, or Pyomo in your application. Provide examples of projects where you have successfully implemented these tools to achieve business objectives.

Highlight Collaboration Experience: Since the role involves working cross-functionally, emphasise your experience collaborating with different teams. Share specific instances where you translated complex technical concepts into actionable insights for non-technical stakeholders.

How to prepare for a job interview at easyJet Airline Company PLC

Showcase Your Technical Skills

Be prepared to discuss your experience with Python, SQL, and optimisation solvers like Gurobi or CPLEX. Bring examples of past projects where you successfully implemented optimisation models, as this will demonstrate your technical proficiency and problem-solving abilities.

Understand the Business Context

Familiarise yourself with easyJet's operations and the aviation industry. Understanding how optimisation impacts fleet assignment and scheduling will help you articulate how your skills can contribute to their strategic goals during the interview.

Prepare for Scenario-Based Questions

Expect questions that assess your ability to apply optimisation techniques to real-world problems. Practice explaining your thought process in tackling complex scenarios, as this will showcase your analytical skills and ability to communicate effectively with non-technical stakeholders.

Emphasise Collaboration and Communication

Since the role involves working cross-functionally, highlight your experience in collaborative environments. Be ready to discuss how you've influenced stakeholders and communicated technical concepts clearly in previous roles, as this is crucial for success in the position.

Senior Commercial Data Scientist – Optimisation
easyJet Airline Company PLC

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