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Data Science Manager

American Express Global Business Travel

Remote

GBP 60,000 - 80,000

Full time

Today
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Job summary

A leading business travel company in the United Kingdom is seeking a Data Science Manager to join their Hotel Optimization team. This role combines analytical skills and creativity to identify revenue opportunities and design data-driven hotel optimization models. Candidates should have a bachelor's degree in a quantitative discipline and a minimum of 5 years of data science experience. The company offers flexible working options, competitive benefits, and a culture of inclusion.

Benefits

Learning and development opportunities
Flexible home working options
Travel perks from major travel providers
Diverse globally-based team

Qualifications

  • Minimum 5 years work experience as Data Scientist with focus on problem solving in a commercial environment.
  • Proven strong SQL skills with the ability to write SQL from scratch.
  • Experience managing a team is an asset, but not required.

Responsibilities

  • Identify revenue opportunities and drive implementation.
  • Design and build data-driven hotel optimization models.
  • Strive to continuously improve optimization models through A/B testing.

Skills

SQL
Data Visualization with Tableau or Power BI
Python/R Programming
Analytical Skills
Team Leadership

Education

Bachelor’s in a quantitative discipline
Master’s degree preferred

Tools

Tableau
Power BI
SQL Databases
Job description
Data Science Manager page is loaded## Data Science Managerlocations: United Kingdomtime type: Full timeposted on: Posted 30+ Days Agojob requisition id: J-76580Amex 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.**Manager, Hotel Optimization**Our Hotel business is growing and we are seeking to expand the Hotel Optimization team at Amex GBT. This critical position will create something new by combining analytical skills, technical capabilities with creativity and vision for opportunities, directly impacting the bottom line. Being part of a global team, this position will be highly rewarding and lots of fun. Training and development opportunities will abound ensuring high-performing individuals can chart a long-term career trajectory within the company. This role represents an exciting opportunity to join AMEX GBT, as we define the future of business travel as we lead the industry into a new era.**What you will do, responsibilities and competencies:*** 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 you will bring, experience and qualification:*** 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**What we will offer*** Learning and development opportunity.* Mentoring program.* Flexible home working option.* Competitive benefits.* Diverse team that is globally based.**Location**United Kingdom**The #TeamGBT Experience**Work and life: Find your happy medium at Amex GBT.* **Flexible benefits** are tailored to each country and start the day you do. These include health and welfare insurance plans, retirement programs, parental leave, adoption assistance, and wellbeing resources to support you and your immediate family.* **Travel perks:** get a choice of deals each week from major travel providers on everything from flights to hotels to cruises and car rentals.* **Develop the skills you want** when the time is right for you, with access to over 20,000 courses on our learning platform, leadership courses, and new job openings available to internal candidates first.* **We strive to champion Inclusion** in every aspect of our business at Amex GBT. You can connect with colleagues through our 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.for Additional Disclosures in Accordance with the LA County Fair Chance Ordinance.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. For details regarding how we protect your data, please consult the .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;" please apply anyway. You may be exactly the person we’re looking for!
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