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- Tasks: Lead the design and deployment of optimisation solutions for operational excellence in the airline industry.
- Company: Join a leading airline with a focus on innovation and operational efficiency.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Make a real impact by solving complex problems and optimising airline operations.
- Qualifications: Expertise in mathematical programming and experience with optimisation solutions in operational environments.
- Other info: Collaborative team culture with opportunities to mentor and grow within the industry.
The predicted salary is between 48000 - 72000 £ per year.
The Senior Data Scientist (Optimisation) will lead the design, development and deployment of mission-critical optimisation solutions that drive operational excellence across the airline. This role demands deep expertise in mathematical programming, advanced optimisation techniques, and production-grade implementation using solvers such as Gurobi or IBM CPLEX. You will architect solutions for complex routing, scheduling, and resource allocation problems while mentoring team members and establishing optimisation best practices. This role requires proven experience delivering optimisation solutions in operational environments. Candidates with airline industry experience or comparable domains (transport operations, logistics networks, crew/aircraft scheduling) will be particularly valued.
Job Responsibilities:
- Lead the architecture and delivery of optimisation solutions (linear programming, mixed-integer programming, graph algorithms, constraint programming) for crew planning, aircraft scheduling, routing, and operational decision-making.
- Design and implement high-performance algorithms in C++ and Python, optimising for both solution quality and computational efficiency with industry-standard solvers (Gurobi/CPLEX).
- Define technical strategy for optimisation capability, evaluating emerging techniques (column generation, decomposition methods, hybrid approaches) and tooling.
- Lead integration of optimisation with simulation and reinforcement learning to solve multi-stage decision problems.
- Partner with senior stakeholders across Operations, Planning, Crew, and Engineering to translate business challenges into tractable mathematical models with quantifiable ROI.
- Present complex technical solutions and trade-offs to leadership, translating optimisation concepts into business impact.
- Lead Agile delivery across the full Data Science lifecycle, from opportunity identification through production deployment and continuous improvement.
- Drive collaboration with Data Management to ensure data quality and availability for optimisation pipelines.
- Mentor data scientists in operations research techniques, conduct technical reviews, and build optimisation capability across the team.
- Represent the organisation at industry conferences and academic partnerships, staying at the forefront of optimisation research and practice.
Business Area: Information Technology (IT)
Primary Location: United Kingdom-London-London Luton Airport
Organisation: Information Technology (IT)
Schedule: Full-time
Unposting Date: Ongoing
Senior Data Scientist - Optimisation in London employer: Easyjet
Contact Detail:
Easyjet Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist - Optimisation in London
✨Tip Number 1
Network like a pro! Reach out to folks in the airline industry or optimisation circles on LinkedIn. A friendly chat can open doors that applications alone can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your optimisation projects, especially those using Gurobi or CPLEX. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss how you've tackled complex routing or scheduling challenges in the past.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Senior Data Scientist - Optimisation in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Scientist role. Highlight your experience with optimisation techniques and any relevant projects you've worked on, especially in the airline or logistics sectors. We want to see how your skills align with our needs!
Showcase Your Technical Skills: Don’t hold back on showcasing your technical prowess! Mention your experience with C++, Python, and industry-standard solvers like Gurobi or IBM CPLEX. We’re looking for someone who can hit the ground running, so let us know what you’ve got!
Demonstrate Problem-Solving Abilities: In your application, share examples of how you've tackled complex optimisation problems in the past. We love seeing how you approach challenges and the impact your solutions had on operational excellence. Make it relatable and engaging!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Easyjet
✨Know Your Algorithms
Brush up on your knowledge of optimisation techniques like linear programming and mixed-integer programming. Be ready to discuss how you've applied these methods in real-world scenarios, especially in the airline or logistics sectors.
✨Showcase Your Coding Skills
Prepare to demonstrate your proficiency in C++ and Python. You might be asked to solve a problem on the spot, so practice coding algorithms that optimise for both quality and efficiency using solvers like Gurobi or IBM CPLEX.
✨Understand the Business Impact
Be prepared to translate complex optimisation concepts into business outcomes. Think about how your previous work has led to quantifiable ROI and be ready to share specific examples during the interview.
✨Engage with Stakeholders
Highlight your experience working with cross-functional teams. Discuss how you've partnered with operations, planning, and engineering to tackle business challenges, and be ready to explain how you can bridge the gap between technical solutions and business needs.
