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- Tasks: Drive data-driven hotel optimisation and identify revenue opportunities using advanced analytics.
- Company: Join Amex GBT, a leader in travel innovation with a collaborative culture.
- Benefits: Enjoy flexible benefits, travel perks, and access to 20,000+ learning courses.
- Other info: Inclusive environment with opportunities for career growth and team leadership.
- Why this job: Make a real impact in the travel industry while developing your data science skills.
- Qualifications: Bachelor's in a quantitative field; strong SQL and data visualisation skills required.
The predicted salary is between 60000 - 80000 £ per year.
Amex GBT is a place where colleagues find inspiration in travel as a force for good and – through their work – can make an impact on our industry. We’re here to help our colleagues achieve success and offer an inclusive and collaborative culture where your voice is valued.
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 visualization 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.
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.
Furthermore, 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.
What if I don’t meet every requirement? If you’re passionate about our mission and believe you’d be a phenomenal addition to our team, don’t worry about “checking every box;
Data Scientist in London employer: Amex
Contact Detail:
Amex Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist in London
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Amex GBT on LinkedIn. A friendly chat can give you insider info and might even lead to a referral, which is always a bonus!
✨Tip Number 2
Prepare for the interview by brushing up on your SQL and Python skills. Be ready to showcase your problem-solving abilities with real-world examples. We want to see how you think and tackle challenges!
✨Tip Number 3
Don’t just talk about your technical skills; share your passion for storytelling with data. Show us how you can bring numbers to life and make an impact on business decisions!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our team at Amex GBT.
We think you need these skills to ace Data Scientist in London
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 why you're passionate about this role. Share your journey in data science and how you’ve used your skills to drive business decisions. Let your personality shine through!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex problems in a commercial environment. We love seeing creative solutions and how you've implemented them successfully.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team!
How to prepare for a job interview at Amex
✨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. This will show that you can hit the ground running!
✨Show Off Your Visualisation Skills
Since they’re looking for experience with Tableau or Power BI, prepare a portfolio of dashboards or reports you've created. Bring examples that highlight how your visualisations have driven business decisions. This will demonstrate your ability to bring data to life!
✨Be Ready to Talk Strategy
Think about how you’ve identified revenue opportunities in the past. Prepare to discuss your approach to A/B testing and how you’ve refined models based on data insights. This shows you can think strategically and make an impact.
✨Emphasise Team Leadership
Even if you haven’t managed a team before, think about times when you’ve led projects or collaborated with others. Be prepared to share how you foster collaboration and inclusivity, as this aligns with their company culture.