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- Tasks: Lead data-driven projects and develop advanced analytics solutions.
- Company: Join the UK's largest airline with a strong innovation track record.
- Benefits: Competitive salary, career growth, and a dynamic work environment.
- Why this job: Make a real impact on customer experience and business performance.
- Qualifications: Experience in data science and mentoring skills required.
- Other info: Collaborative culture with opportunities to shape the future of aviation.
The predicted salary is between 36000 - 60000 £ per year.
When it comes to innovation and achievement there are few organisations with a better track record. Join us and you will be able to play a big part in the success of our highly successful, fast-paced business that opens up Europe so people can exercise their get-up-and-go. With over 300 aircraft flying over 800 routes to more than 30 countries, we are the UK’s largest airline, the second largest in Europe and the tenth largest in the world. Flying over 80 million passengers a year, we employ over 13,000 people. It’s big-scale stuff and we are still growing.
The Senior Data Scientist role is critical in leading data-driven initiatives and building advanced analytics capability within the organisation. The role involves architecting and delivering complex data science solutions using Agile methodologies, while mentoring junior team members and establishing best practices. You will lead projects from ideation through to production deployment, developing sophisticated predictive and optimisation models that drive measurable business impact.
Job Responsibilities:- Own end-to-end delivery of Data Science projects from ideation through production implementation and monitoring.
- Design and execute complex analytical approaches, integrating data from diverse sources to solve strategic business questions.
- Architect, validate and deploy advanced prediction, simulation, optimisation and reinforcement learning models at scale.
- Translate analytical insights into actionable recommendations for senior stakeholders, directly influencing customer experience and business performance.
- Collaborate with the Centre of Excellence to develop training programmes and embed best practice capabilities across the business.
- Mentor and develop junior data scientists, conducting code reviews and providing technical guidance.
Senior Data Scientist in London employer: Easyjet
Contact Detail:
Easyjet Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist in London
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or at industry events. A friendly chat can give you insider info and maybe even a referral, which is always a bonus.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills and understanding the company’s data strategy. We want you to showcase how your experience aligns with their goals, especially in predictive modelling and optimisation.
✨Tip Number 3
Don’t just talk about your past projects; bring them to life! Use real examples to demonstrate your problem-solving skills and how you’ve made an impact. This will help you stand out as a candidate who can drive measurable business results.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in being part of our innovative team.
We think you need these skills to ace Senior Data Scientist 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 data science projects, Agile methodologies, and any mentoring you've done. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how you can contribute to our success. Be sure to mention specific projects or achievements that demonstrate your expertise.
Showcase Your Technical Skills: Don’t forget to list your technical skills relevant to the role, like predictive modelling, optimisation techniques, and programming languages. We love seeing candidates who are well-versed in the latest tools and technologies!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Easyjet
✨Know Your Data Science Stuff
Make sure you brush up on your data science fundamentals. Be ready to discuss your experience with predictive modelling, optimisation techniques, and any relevant tools or programming languages. They’ll want to see that you can not only talk the talk but also walk the walk when it comes to delivering complex data solutions.
✨Showcase Your Project Experience
Prepare to share specific examples of data science projects you've led from start to finish. Highlight your role in ideation, implementation, and monitoring. This is your chance to demonstrate how your work has driven measurable business impact, so be clear about the results and insights you delivered.
✨Emphasise Collaboration and Mentorship
Since this role involves mentoring junior team members, be ready to discuss your approach to collaboration and knowledge sharing. Think of examples where you’ve helped others grow or contributed to a team’s success. They’ll want to see that you can lead and inspire as well as deliver technical solutions.
✨Prepare for Scenario-Based Questions
Expect some scenario-based questions that test your problem-solving skills. They might ask how you would approach a specific business challenge using data. Practice articulating your thought process clearly and logically, showing how you would integrate diverse data sources to arrive at actionable insights.
