Decision Scientist

Decision Scientist

Hemel Hempstead (Hybrid – 3 days in office / 2 days remote)

Permanent | Full Time

Competitive Salary + Bonus and Benefits

Join Us in Driving Data-Led Decisions

We’re looking for a talented Decision Scientist to join our Commercial team at Haven, playing a key role in automating and optimising our Holiday pricing system. This is an exciting opportunity for a data-driven professional to shape strategic decisions using statistical modelling, machine learning, and operations research techniques. With a strong emphasis on business impact, you’ll work collaboratively across departments to transform data into clear, actionable insights that power better outcomes.

Your Opportunity:

• Apply advanced statistical and machine learning methods to complex business problems
• Build and maintain decision science algorithms to support commercial strategies
• Deliver compelling insights to stakeholders, clearly communicating technical outputs
• Ensure data quality and integrity throughout all analysis projects
• Document processes to ensure replicability and long-term use
• Provide technical guidance to peers and junior analysts
• Keep up to date with emerging data science trends and technologies
• Contribute to continuous innovation within the analytics function
• Support the delivery of key business KPIs including EBITDA performance
• Embed data at the heart of decision-making processes across the organisation

What We’d Like You to Bring:

• Strong proficiency in statistical analysis, machine learning, and predictive modelling
• Advanced knowledge of programming tools such as Python, R, and Microsoft SQL
• Proven ability to translate complex data into meaningful business recommendations
• Experience managing multiple projects with competing deadlines
• High-level communication skills with the ability to influence and build rapport
• Understanding of revenue management, ideally within the travel or leisure industry
• Strong MS Excel, PowerPoint, and Word skills
• Bachelor’s degree in Data Science, Statistics, Mathematics, or related discipline
• Proactive, collaborative mindset with a continuous improvement ethos
• Familiarity with tools like Snowflake, SharePoint, and AWS (desirable)

What’s In It For You?

• 25 Days Holiday + Bank Holidays + Holiday Buy Scheme
• Annual bonus
• 20% discount on both Haven and Warner Hotels holiday for you, family and friends
• Comprehensive wellbeing support
• Access to the Bourne Leisure corporate box at the O2 Arena ,London
• Exclusive discounts with corporate partners
• Exciting career pathways, including Learning and Development opportunities such as Apprenticeships and Degrees
• Enhanced family friendly policies and pay (eligibility criteria applied)

Who are we?

We’re part of an award-winning Bourne Leisure family, which includes Haven & Warner Hotels. We have 9,000 fantastic team members and 39 beautiful seaside locations and our HQ based in Hemel Hempstead.

What’s it like to work with us?

Working with us is ultimately defined by our exceptional people and teams. At Haven, we take pride in our Breath of Fresh Air culture, which focuses on valuing and supporting every team member. We prioritise openness and transparency in our interactions allowing our team members to be their authentic selves.

We operate a hybrid working model, meaning 50% of your working week will be spent at the office, occasionally on Park, or at external events.

What can you expect during the recruitment process?

The interview process will be up to 3 stages and may contain a presentation or skills test, depending on the role. If you require any support or reasonable adjustments to help you perform at your best during this process, please let us know.

Diversity, equity, and inclusion are at the heart of who we are and what we do. Our commitment to these values is unwavering and they are central to our mission. We encourage applications from all backgrounds, communities and industries and we are happy to discuss any reasonable adjustments or flexibility that you may require, including whether a role can be part-time or a job-share.

We genuinely care about every candidate's experience during the recruitment process and are here to provide support where we can. If you require any assistance or reasonable adjustments while applying, please don't hesitate to reach out to us at .