At a Glance
- Tasks: Own pricing architecture and develop frameworks for dynamic pricing strategies.
- Company: Join a forward-thinking travel company focused on innovation and inclusivity.
- Benefits: Enjoy 25 days leave, hybrid work, health insurance, and holiday discounts.
- Other info: Be part of a diverse team with excellent career growth opportunities.
- 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; strong numerical skills required.
The predicted salary is between 50000 - 60000 € 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 + bank holidays + 4 wellbeing days.
- Hybrid working policy – balance office and home; own your time.
- £1,000 Heidi holiday credit + additional holiday discounts.
- Vitality health insurance.
- Enhanced parental leave for primary/secondary carers and adoptive parents.
- Company social calendar – summer party, end‑of‑season conference and budget for team celebrations.
- £300 work‑from‑home budget.
You’ll be reporting to Sam Knott, our CMO.
Our Commitment to inclusive hiring: We want to create an inclusive environment that celebrates the diversity of our people whilst enabling them to do the best work of their careers. We are committed to ensuring that all our people processes are equitable. All applicants will be considered for employment without attention to age, ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, veteran status, neurodiversity status, or disability status.
Data Scientist, revenue employer: Story Terrace Inc.
Heidi is an exceptional employer that fosters a dynamic and inclusive work culture, perfect for those passionate about revenue management in the travel industry. With a strong focus on employee growth, we offer comprehensive benefits including generous annual leave, hybrid working options, and unique perks like holiday credits and health insurance. Join us to make a meaningful impact while enjoying a supportive environment that values your contributions and encourages innovation.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist, revenue
✨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
Show off your skills! Create a portfolio or a personal project that highlights your data analysis and pricing strategies. This will give you something tangible to discuss during interviews and show how you can add value.
✨Tip Number 3
Prepare for interviews by practising common questions related to revenue management and pricing strategies. Be ready to share examples of how you've used data to drive decisions and improve profitability.
✨Tip Number 4
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 at Heidi.
We think you need these skills to ace Data Scientist, revenue
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience in revenue management and pricing. We want to see how your skills align with what we're looking for, so don’t be shy about showcasing your relevant achievements!
Show Your Analytical Skills:Since this role is all about data, make sure to include examples of how you've used data analysis to drive decisions in the past. We love candidates who can demonstrate their ability to extract insights and translate them into actionable strategies.
Be Clear and Concise:When writing your application, keep it straightforward and to the point. We appreciate clear communication, so make sure your recommendations and experiences are easy to understand and well-structured.
Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Story Terrace Inc.
✨Know Your Numbers
As a Data Scientist focusing on revenue, you’ll need to be comfortable with numbers. Brush up on your understanding of P&L mechanics and unit economics. Be ready to discuss how pricing decisions impact gross profit and EBITDA, as this will show your strong commercial acumen.
✨Showcase Your Analytical Skills
Prepare to demonstrate your hands-on experience with data. Bring examples of how you've extracted, modelled, and presented your own analysis in previous roles. Highlight any specific tools you've used, like SQL or Google Sheets, to show you're self-sufficient and can dive into the data without needing an analyst.
✨Emphasise Experimentation
Since the role involves designing and running pricing experiments, be ready to discuss your approach to testing hypotheses with data. Share past experiences where you’ve implemented controlled tests and how those results informed pricing strategies. This will illustrate your experimentation-first mindset.
✨Communicate Clearly and Confidently
You’ll need to present recommendations to senior stakeholders, so practice articulating your thoughts clearly and confidently. Prepare to back up your opinions with evidence from your analyses. Being able to handle challenges and questions will demonstrate your ability to communicate effectively in a high-stakes environment.
