Data Scientist, revenue

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.

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