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- Tasks: Develop pricing models and optimisation algorithms for the hospitality industry.
- Company: Innovative SaaS platform transforming the hospitality sector.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Join a dynamic team and make a real impact on pricing strategies.
- Qualifications: Strong programming skills and a background in data science or economics.
- Other info: Collaborative environment with a focus on customer success and revenue growth.
The predicted salary is between 42000 - 60000 £ per year.
A SaaS platform for the hospitality industry is seeking a Data Scientist to develop price modelling and optimisation algorithms. This mid-senior level role requires strong programming skills and a background in data science, statistics, or economics. The position is hybrid, involving at least two days in the London office.
Ideal candidates will collaborate with various teams to implement data-driven pricing strategies that enhance customer success, thereby helping the company grow its revenue through intelligent pricing solutions.
Hospitality Pricing Scientist - Hybrid London in England employer: Openr
Contact Detail:
Openr Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hospitality Pricing Scientist - Hybrid London in England
✨Tip Number 1
Network like a pro! Reach out to folks in the hospitality 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 pricing models or data analysis projects. This is your chance to shine and demonstrate how you can add value to the team.
✨Tip Number 3
Prepare for those interviews! Brush up on your programming skills and be ready to discuss your approach to data-driven pricing strategies. We want to see your thought process in action!
✨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 keen to join us directly.
We think you need these skills to ace Hospitality Pricing Scientist - Hybrid London in England
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your programming skills and any relevant experience in data science, statistics, or economics. We want to see how you can bring your expertise to the table!
Tailor Your Application: Don’t just send a generic CV! Customise your application to reflect how your background aligns with the role of a Hospitality Pricing Scientist. We love seeing candidates who take the time to connect their experience with our needs.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so make sure your points are easy to understand and directly related to the job description.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to track your application and get back to you quickly!
How to prepare for a job interview at Openr
✨Know Your Numbers
Brush up on your data science fundamentals, especially in statistics and economics. Be ready to discuss how you’ve used these skills in past projects, particularly in pricing models or optimisation algorithms.
✨Showcase Your Programming Skills
Prepare to demonstrate your programming prowess. Familiarise yourself with the languages and tools mentioned in the job description, and be ready to tackle a coding challenge or discuss your previous coding experiences.
✨Collaborative Mindset
Since this role involves working with various teams, think of examples where you successfully collaborated on projects. Highlight your communication skills and how you’ve contributed to team success in implementing data-driven strategies.
✨Understand the Industry
Research the hospitality industry and current trends in pricing strategies. Being able to discuss how your work can impact customer success and revenue growth will show your genuine interest in the role and the company.
