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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 salary, flexible working arrangements, and excellent benefits.
- Why this job: Make a real impact in the travel industry using advanced analytics.
- Qualifications: Strong SQL and data visualisation skills with 5+ years in data science.
- Other info: Join a dynamic team with opportunities for professional growth.
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 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
✨Tip Number 1
Network like a pro! Reach out to folks in the travel and data science sectors on LinkedIn. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL projects and data visualisations. This is your chance to shine and demonstrate what you can bring to the Hotel Optimization team.
✨Tip Number 3
Prepare for interviews by brushing up on common data science scenarios. Think about how you would tackle hotel optimisation challenges and be ready to discuss your thought process.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Hotel Optimization Data Science Manager
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 Experience: When writing your application, tailor it to reflect your experience in data science. We’re looking for someone with at least 5 years in the field, so don’t be shy about showcasing your relevant projects and achievements.
Be Clear and Concise: Keep your application clear and to the point. We appreciate well-structured applications that get straight to the heart of your qualifications and how they align with our needs.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity in our Hotel Optimization team.
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.
✨Understand the Company’s Goals
Research the global travel management company and understand their mission and values. Tailor your answers to show how your experience aligns with their goals, particularly in optimising hotel performance and enhancing customer satisfaction.
✨Ask Insightful Questions
Prepare a few thoughtful questions to ask at the end of the interview. This could be about their current data strategies or how they envision the future of hotel optimisation. It shows you're genuinely interested and engaged with the role.
