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- Tasks: Lead the Hotel Optimization team and create data-driven models for revenue opportunities.
- Company: Global travel management company based in the UK with a focus on innovation.
- Benefits: Competitive benefits and flexible working arrangements to suit your lifestyle.
- Why this job: Make a real impact in the travel industry using advanced analytics and data science.
- Qualifications: Strong SQL and data visualisation skills with 5+ years in data science.
- Other info: Join a dynamic team and enjoy excellent career growth opportunities.
The predicted salary is between 43200 - 72000 £ per year.
A global travel management company in the United Kingdom is seeking a Data Science Manager to lead the Hotel Optimization team. This role will create data-driven hotel optimization models, identify revenue opportunities, and use advanced analytics.
Ideal candidates will have strong SQL and data visualization skills, with a minimum of 5 years in data science. The position offers competitive benefits and flexible working arrangements.
Hotel Optimization Data Science Manager in London employer: American Express Global Business Travel
Contact Detail:
American Express Global Business Travel Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hotel Optimization Data Science Manager in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already working in data science roles. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL and data visualisation projects. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data science scenarios. Think about how you would approach hotel optimisation challenges and be ready to discuss your thought process and solutions.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented folks like you. Plus, it’s the best way to ensure your application gets seen by the right people.
We think you need these skills to ace Hotel Optimization Data Science Manager in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your SQL and data visualisation skills in your application. We want to see how you can use these tools to create data-driven hotel optimisation models!
Tailor Your Application: Don’t just send a generic CV! Tailor your application to the role by mentioning your experience in data science and any relevant projects you've worked on. This helps us see how you fit into our Hotel Optimization team.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that get straight to the heart of your experience and what you can bring to the table.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at American Express Global Business Travel
✨Know Your Data Science Stuff
Make sure you brush up on your SQL and data visualisation skills before the interview. Be ready to discuss specific projects where you've used these skills to drive results, especially in hotel optimisation or similar fields.
✨Showcase Your Analytical Mindset
Prepare to talk about how you've identified revenue opportunities in past roles. Think of examples where your analytical approach led to significant improvements or insights, and be ready to explain your thought process.
✨Familiarise Yourself with the Company
Do some homework on the global travel management company you're interviewing with. Understand their business model, recent news, and how they leverage data science in their operations. This will help you tailor your answers and show genuine interest.
✨Ask Insightful Questions
Prepare a few thoughtful questions to ask at the end of the interview. Inquire about the team dynamics, current challenges in hotel optimisation, or how success is measured in this role. This shows that you're not just interested in the job, but also in contributing to the team's success.
