At a Glance
- Tasks: Lead data-driven hotel optimisation projects and drive automation opportunities.
- Company: Amex GBT, a leader in travel innovation with a collaborative culture.
- Benefits: Flexible benefits, travel perks, and access to 20,000+ courses for skill development.
- Other info: Inclusive environment with opportunities for personal and professional growth.
- Why this job: Make a real impact in the travel industry while growing your career.
- 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 Science Manager in London employer: Amex
At Amex GBT, we foster an inclusive and collaborative culture where your contributions are valued, making it an exceptional place for a Data Science Manager to thrive. With flexible benefits tailored to the UK, extensive learning opportunities, and a commitment to employee wellbeing, you can find a fulfilling work-life balance while driving impactful change in the travel industry. Join us to lead a new team in hotel optimization and enjoy unique travel perks that enhance both your professional and personal life.
StudySmarter Expert Advice🤫
We think this is how you could land Data Science Manager in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Amex!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Science Manager at Amex.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Amex.
✨Apply Directly through Our Website
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We think you need these skills to ace Data Science Manager in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Amex, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Amex. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Amex
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Amex!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
