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For Companies At a Glance
- Tasks: Identify revenue opportunities and design data-driven hotel optimisation models.
- Company: Join a leading travel company committed to innovation and inclusion.
- Benefits: Flexible benefits, travel perks, and access to 20,000+ courses for personal growth.
- Other info: Dynamic team environment with opportunities for career advancement.
- Why this job: Make a real impact by optimising hotel supply with advanced analytics.
- Qualifications: Bachelor's in a quantitative field; strong SQL and data visualisation skills required.
The predicted salary is between 60000 - 75000 £ per year.
What You’ll Do
- Identify revenue opportunities, possibly through creative solutions, and drive the implementation to realize them.
- Design and build data-driven hotel optimization models using advanced Analytics/Data Science techniques.
- Strive to continuously refine and improve optimization models through A/B testing or test/control frameworks designed and built from scratch.
- Lead strategic and quantitative analysis to support key business decisions and help chart the course for optimizing our hotel supply.
- Identify, prioritize, and drive automation opportunities through SQL, Python (or other programming language).
- Build and maintain API connectivity using Json automation/Python.
- Create new tools and data visualisation using PowerBI or Tableau.
- Build-up and lead a new team and function within hotel optimization.
What We’re Looking For
- Bachelor’s in quantitative discipline (Data Science, Maths, Business/Economics, etc.), Master’s preferred.
- Min. 5 years work experience as Data Scientist with focus on problem solving in a commercial environment.
- Strong SQL skills, with ability to write SQL from scratch, good understanding of databases.
- Strong experience using Tableau or Power BI to pull data from various sources, develop and publish automated reports and dashboards.
- Experience with at least one programming language (Python/R).
- Good communication skills with passion for storytelling, bringing data to life.
- Experience managing a team would be an asset, but not required.
Location United Kingdom
Benefits
- Flexible benefits tailored to each country, including health and welfare insurance plans, retirement programs, parental leave, adoption assistance, and wellbeing resources to support you and your immediate family.
- Travel perks: choice of deals each week from major travel providers on flights, hotels, cruises and car rentals.
- Access to over 20,000 courses on our learning platform, leadership courses, and new job openings available to internal candidates first.
- Commitment to champion Inclusion in every aspect of our business, with global Inclusion Groups centered around common identities or initiatives to discuss challenges, obstacles, achievements, and drive company awareness and action.
- And much more.
All applicants will receive equal consideration for employment without regard to age, sex, gender (and characteristics related to sex and gender), pregnancy (and related medical conditions), race, color, citizenship, religion, disability, or any other class or characteristic protected by law. We are committed to providing reasonable accommodation to qualified individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the hiring process.
Data Scientist 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 Data Scientist
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data visualisation projects using Tableau or Power BI. 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 your SQL and Python skills. Be ready to tackle technical questions and demonstrate your problem-solving abilities with real-world examples from your experience.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the job description. Highlight your experience with SQL, Python, and data visualisation tools like Tableau or Power BI. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us your story! Share your passion for data science and problem-solving, and don’t forget to mention any relevant projects or achievements that showcase your skills.
Showcase Your Analytical Skills: In your application, give examples of how you've used data-driven insights to make decisions or drive revenue opportunities. We love seeing real-world applications of your analytical prowess!
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!
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 Python skills before the interview. Be ready to discuss specific projects where you've used these tools to solve real business problems. They’ll want to see how you can apply your knowledge in a practical setting.
✨Show Off Your Visualisation Skills
Familiarise yourself with Tableau or Power BI, as these are key for the role. Prepare to showcase any dashboards or reports you've created in the past. Being able to tell a compelling story with data will set you apart from other candidates.
✨Think Like a Problem Solver
Be prepared to discuss how you've identified revenue opportunities or optimised processes in previous roles. Think of examples where you’ve implemented creative solutions and be ready to explain your thought process during the interview.
✨Team Leadership Insights
Even if you haven't managed a team before, think about how you would approach building and leading a new function. Share your vision for collaboration and innovation within a team setting, as they value strong communication and leadership potential.