At a Glance
- Tasks: Own pricing architecture and develop frameworks for dynamic pricing strategies.
- Company: Join a leading travel company focused on innovation and growth.
- Benefits: Enjoy 25 days annual leave, competitive salary, and opportunities for professional development.
- Other info: Be the first hire in this area and shape the future of pricing at our company.
- Why this job: Make a real impact on pricing strategies and revenue management in the travel industry.
- Qualifications: Experience in revenue management or commercial analytics, with strong numerical skills.
The predicted salary is between 50000 - 65000 € per year.
What you’ll be doing:
- Owning Heidi's pricing architecture. Define how we set and adjust margins across resort tiers, seasons, group types and departure windows. Balance competitiveness with profitability across our full holiday portfolio.
- Building our yield management capability. Develop frameworks and rules that allow us to flex pricing based on demand signals, lead time, availability and competitive positioning.
- Analyzing performance trends across margin per booking, conversion rate, revenue and gross profit to identify where pricing is leaving money on the table or costing us bookings. Translate that analysis into clear recommendations and action.
- Designing and running pricing experiments. Work with Product and Tech to set up controlled tests to measure the impact of price changes on conversion, margin and revenue before rolling them out broadly.
- Competitive pricing intelligence. Monitor how our pricing compares to key competitors across resorts and travel periods, and use that insight to inform our positioning and anticipate and make proactive changes.
- Defining our promotional strategy. Own the promotional calendar, working with Marketing and Supply to plan, price and execute promotional events across off-peak, peak and key trading moments like Black Friday and January peaks.
- Working with the Supply team to understand supplier cost structures, override opportunities and contracted terms. Translate those into pricing decisions that maximise margin without undermining competitiveness.
- Providing clear, regular performance updates to the CMO and Finance Director, connecting short-term trading dynamics to longer-term margin and profitability goals.
What we’re looking for from you:
- Experience in revenue management, pricing or commercial analytics; ideally within travel, OTA, hospitality or a similarly dynamic business.
- First hire in this area – passion for owning and building. Able to design pricing frameworks, set strategy and get early wins live while setting us up for the long term.
- Highly numerate with strong commercial and financial acumen. Understand P&L mechanics, unit economics and how pricing decisions flow through to gross profit and EBITDA.
- Self-sufficient with data. Comfortable extracting, modelling and presenting your own analysis. No dedicated analyst – you’ll be hands‑on with the data every day.
- Strong attention to detail. Skilled at diagnosing what actually drives a number, not just reporting it.
- Experimentation‑first mindset. Default to testing hypotheses with data rather than making changes based on gut feel.
- Clear, opinionated communication. Present recommendations to senior stakeholders with evidence and handle challenge.
Desirable: proficiency with SQL (BigQuery), Google Sheets and data visualisation tools such as Looker Studio. Experience with statistical methods for experiment design and price elasticity modelling is a strong plus. Familiarity with AI‑assisted analytical workflows is valued.
Benefits: 25 days annual leave +
Data Scientist, revenue in London employer: Story Terrace Inc.
At Heidi, we pride ourselves on fostering a dynamic and innovative work culture that empowers our employees to take ownership of their roles. As a Data Scientist in revenue, you will have the unique opportunity to shape our pricing architecture and drive impactful decisions that directly influence our profitability. With a focus on personal growth, competitive benefits, and a collaborative environment, Heidi is an excellent employer for those seeking meaningful and rewarding employment in the travel industry.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist, revenue in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to pricing strategies and revenue management. We recommend doing mock interviews with friends or using online platforms to get comfortable with your responses.
✨Tip Number 3
Showcase your analytical skills! Bring examples of your past work, especially any data-driven decisions you've made. This will help demonstrate your ability to translate analysis into actionable recommendations.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace Data Scientist, revenue in London
Some tips for your application 🫡
Show Your Passion for Pricing:When you write your application, let your enthusiasm for pricing and revenue management shine through. We want to see that you’re not just looking for a job, but that you’re excited about owning and building our pricing architecture.
Be Data-Driven:Make sure to highlight your experience with data analysis in your application. We love candidates who are self-sufficient with data, so share examples of how you've used data to drive decisions and improve outcomes in previous roles.
Communicate Clearly:Your written application is your first chance to impress us with your communication skills. Be clear and concise, and don’t shy away from presenting your opinions backed by evidence. We appreciate candidates who can articulate their thoughts effectively.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen on joining the StudySmarter team!
How to prepare for a job interview at Story Terrace Inc.
✨Know Your Numbers
As a Data Scientist in revenue, you'll need to be highly numerate. Brush up on your understanding of P&L mechanics and unit economics. Be ready to discuss how pricing decisions impact gross profit and EBITDA during the interview.
✨Showcase Your Analytical Skills
Prepare to demonstrate your ability to extract, model, and present data analysis. Bring examples of past projects where you’ve used SQL or data visualisation tools like Looker Studio to drive decisions. This will show that you're hands-on and self-sufficient with data.
✨Emphasise Experimentation
Highlight your experimentation-first mindset. Be prepared to discuss how you've designed and run pricing experiments in the past. Share specific examples of how testing hypotheses with data led to successful outcomes.
✨Communicate Clearly
Practice presenting your recommendations clearly and confidently. You’ll need to convey complex ideas to senior stakeholders, so focus on being opinionated yet evidence-based in your communication style. This will help you stand out as a strong candidate.
