Data Scientist, revenue

Data Scientist, revenue

Full-Time 50000 - 70000 £ / year (est.) Home office (partial)
Heidi

At a Glance

  • Tasks: Own pricing strategy and optimise revenue for our exciting ski holiday offerings.
  • Company: Join a fast-growing, innovative brand shaking up the ski holiday market.
  • Benefits: Enjoy 25 days leave, hybrid working, health insurance, and a fun social calendar.
  • Other info: Dynamic team environment with opportunities for personal and professional growth.
  • Why this job: Be a key player in driving growth and shaping the future of ski holidays.
  • Qualifications: Experience in revenue management or commercial analytics, ideally in travel or hospitality.

The predicted salary is between 50000 - 70000 £ per year.

Heidi was born to make it easy for more and more people to discover the power of the mountains. We burst onto the ski holiday market in 2018 and have seen exponential growth. The company came from a desire to fix the lack of flexibility in the winter ski market. We help skiers and mountain lovers discover resorts that are hidden gems alongside the classics, and our clever tech is helping them to do it in a way that suits them best. We’re a youthful, challenger brand, with an awesome culture, and we’re shaking up a very traditional ski/mountain holiday industry. Looking to the future, we have huge ambitions for growth. In 2024 we grew by 64% and expect to grow even more in 2025. Having come 63rd in the Times top 100 fastest growing UK companies, and shortly after securing £5.6 million investment, we are in a prime position to achieve our goals. But key to that is also growing the Heidi team with even more brilliant people than we have now. So we are looking for someone who will be fundamental to the success of our vision and is excited to help us drive that forward.

Our Marketing Team is growing to support the rapid growth of Heidi. We’re split into 3 core areas: Brand Marketing; Existing Customers; Commercial. The CMO role is also accountable for trading and therefore runs the cross‑functional growth squad with team members across product, tech, marketing, design, and finance, all of whom work to deliver our revenue and net profit goals.

The Revenue Manager will report directly to the CMO, have a dotted line into the Finance Director and work closely with the Growth Squad. The revenue manager will define our promotional strategy and our optimal price point for both Heidi and our customers, and will work with the growth squad to ensure we activate this effectively.

What you’ll be doing:

  • Owning Heidi’s pricing architecture. You’ll define how we set and adjust margins across resort tiers, seasons, group types and departure windows. You will balance competitiveness with profitability across our full holiday portfolio.
  • Building our yield management capability. You’ll develop the 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. You’ll translate that analysis into clear recommendations and action.
  • Designing and running pricing experiments. You’ll 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. You’ll 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. You’ll 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. You’ll 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.
  • You understand how to price products where demand fluctuates by season, lead time and segment.
  • You are the first hire in this area, so you must have a passion for owning and building.
  • Highly numerate with strong commercial and financial acumen. You understand P&L mechanics, unit economics and how pricing decisions flow through to gross profit and EBITDA.
  • Self‑sufficient with data. You’re comfortable extracting, modelling and presenting your own analysis.
  • Strong attention to detail. You understand that trends aren’t always obvious at first and you have a skill for diagnosing what’s actually driving a number, not just reporting it.
  • Experimentation‑first mindset. You default to testing hypotheses with data rather than making changes based on gut‑feeling.
  • Clear, opinionated communication. You can present a recommendation to senior stakeholders with the evidence behind it, and you’re comfortable being challenged on it.

Desirable: proficiency with SQL (our stack is BigQuery), Google Sheets, and data visualisation tools such as Looker Studio. Experience with statistical methods for experiment design and price elasticity modelling would be a strong plus. Familiarity with AI‑assisted analytical workflows is valued.

How big is the team:

  • Marketing: Brand Director, Content Lead, Senior Copywriter, Snr Content Exec, Social Media Manager, Customer Retention Lead
  • Trading: Head of Performance Media (supported by Performance Marketing Agency), CMO, Revenue Manager
  • Growth Squad: Marketing, Design, Tech, Finance, Supply

Who’s going to be your manager: You’ll be reporting to Sam Knott, our CMO.

The interview process:

  • Screening call (30‑40 minutes): w/ Luke, our TA Lead
  • Initial call (30 minutes) w/Sam
  • Competency Interview (90 minutes): Demonstrate your experience and skills through your portfolio, by answering pre‑set questions based on ‘The skills we’re looking for’
  • Culture Add Interview (30‑40 minutes): Meet with co‑founder and team members you would be working with to learn more about each other

Perks of the job:

  • 25 days annual leave + bank holidays + 4 'me/wellbeing' days.
  • We have a hybrid working policy and are happy for people to balance their working week between the office and home. You own your time.
  • Vitality health insurance.
  • Enhanced parental leave for primary/secondary carers and adoptive parents.
  • A fun packed company social calendar including our summer party, end of season conference and budget for team celebrations.
  • £300 work from home budget.

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: Heidi

Heidi is an exceptional employer, offering a vibrant work culture that encourages innovation and collaboration within the rapidly growing ski holiday market. With generous benefits such as 25 days of annual leave, hybrid working options, and a commitment to employee well-being, Heidi fosters an environment where team members can thrive and contribute to meaningful growth. As part of a youthful and ambitious company, employees have unique opportunities for professional development and to play a pivotal role in shaping the future of mountain holidays.

Heidi

Contact Details:

Heidi Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Scientist, revenue

Tip Number 1

Get to know the company inside out! Research Heidi's mission, values, and recent achievements. This will help you tailor your conversations and show that you're genuinely interested in being part of their growth story.

Tip Number 2

Network like a pro! Connect with current employees on LinkedIn or attend industry events. Building relationships can give you insider info and might even lead to a referral, which is always a bonus!

Tip Number 3

Prepare for those interviews by practising common questions and showcasing your analytical skills. Be ready to discuss how your experience aligns with Heidi's revenue management goals and how you can contribute to their ambitious growth plans.

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 keen on joining the Heidi team directly!

We think you need these skills to ace Data Scientist, revenue

Revenue Management
Pricing Strategy
Commercial Analytics
Data Analysis
Yield Management
Performance Trend Analysis
Experiment Design

Some tips for your application 🫡

Show Your Passion for Data:When you're writing your application, let your enthusiasm for data science shine through! We want to see how excited you are about using data to drive decisions and improve revenue. Share specific examples of how you've used data in the past to make an impact.

Tailor Your Application:Make sure to customise your application to fit the role at Heidi. Highlight your experience in revenue management and pricing strategies, especially in dynamic environments like travel or hospitality. We love seeing how your skills align with our goals!

Be Clear and Concise:Keep your application straightforward and to the point. Use clear language to communicate your ideas and experiences. We appreciate a well-structured application that makes it easy for us to see your qualifications and potential contributions.

Apply Through Our Website:Don't forget 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 awesome team at Heidi!

How to prepare for a job interview at Heidi

Know Your Numbers

As a Data Scientist focused on revenue, you 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 during the interview.

Showcase Your Analytical Skills

Prepare to demonstrate your hands-on experience with data extraction and analysis. Bring examples of past projects where you’ve used SQL or data visualisation tools like Looker Studio. This will show that you can dive into the data and provide actionable insights.

Emphasise Experimentation

Highlight your experimentation-first mindset. Be prepared to discuss how you've designed pricing experiments in the past and what methodologies you used. This will resonate well with the company’s focus on data-driven decision-making.

Cultural Fit Matters

Since you'll be meeting with team members, make sure to convey your enthusiasm for their culture. Research the company’s values and think about how your personal values align with theirs. This will help you connect better during the Culture Add Interview.