At a Glance
- Tasks: Lead a team to create innovative software solutions for disruption management and crew rostering.
- Company: Join easyJet, a leading airline known for its commitment to innovation and teamwork.
- Benefits: Enjoy competitive pay, flexible working options, and opportunities for professional growth.
- Other info: Be part of a dynamic team with a focus on collaboration and impact.
- Why this job: Make a real difference in the aviation industry by solving complex operational challenges.
- Qualifications: Proven experience in data science and strong leadership skills required.
The predicted salary is between 60750 - 74250 £ per year.
easyJet is seeking a Principal Data Scientist in Optimisation Engineering to lead a cross-functional team delivering decision-support software for disruption management and crew rostering. You will translate complex operational problems into scalable solutions, guiding architecture, delivery, and reliability across services and data pipelines.
The role blends people leadership with hands-on direction, collaborating with product, OR, and customer stakeholders, and integrating solvers like Gurobi.
Lead Data Scientist - Optimisation & Disruption employer: easyJet Airline Company PLC
At easyJet, we pride ourselves on being a leading low-cost airline that not only connects millions of customers across Europe but also fosters a vibrant and inclusive work culture. As a Lead Data Scientist in Optimisation Engineering, you will have the opportunity to lead a dynamic team, drive innovative solutions, and contribute to meaningful projects that enhance our operational efficiency. With a strong focus on employee growth, collaboration, and a commitment to safety and excellence, easyJet offers a rewarding environment where your contributions truly matter.
Contact Details:
easyJet Airline Company PLC Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Scientist - Optimisation & Disruption
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We think you need these skills to ace Lead Data Scientist - Optimisation & Disruption
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at easyJet Airline Company PLC, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at easyJet Airline Company PLC. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at easyJet Airline Company PLC
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
