Data Scientist - Hertfordshire, HP2 4YL in Hemel Hempstead

At Haven, data helps us create brighter experiences for our guests and our teams. As a Data Scientist, you’ll play a key role in turning data into insight—building machine learning models and analytical solutions that help us make better, more informed decisions across the business. You’ll work across the full data science journey, from exploring and experimenting with rich datasets to deploying robust, scalable solutions into production. Working closely with colleagues across engineering, product and operations, you’ll translate real business questions into practical, impactful insights—bringing curiosity, collaboration and clarity to everything you do.

What you’ll be doing:

• Owning the end-to-end development and deployment of machine learning models and analytical solutions, from data exploration through to production.
• Making day-to-day technical decisions on feature engineering, model selection, analytical techniques and data requirements within agreed team standards.
• Resolving technical challenges during model development and deployment, seeking guidance from the Senior Data Scientist on complex or high-impact decisions.
• Delivering high-quality, reliable outputs that directly influence project success and provide clear, actionable value to stakeholders.

What we’d like you to bring:

• A strong foundation in data science, including machine learning techniques, statistical analysis, feature engineering and model evaluation, with hands-on experience building and deploying models.
• Proficiency in Python, SQL and data manipulation, alongside a solid understanding of data quality, governance and ethical considerations in analytics.
• Experience translating business problems into analytical solutions, with circa two years in data science, machine learning or a related analytical role.
• The ability to work collaboratively in cross-functional teams, exercising ownership and independent judgement on day-to-day modelling while working under the technical guidance of a Senior Data Scientist.

What’s In It For You?

• ‘Holiday Buy Scheme’
• Annual bonus
• Generous discounts on Haven and Warner Hotels holidays for you, your 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 and 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?

Our people and the teams they form are the backbone of a professional experience with us. 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. Please reach out if you need additional support or specific arrangements to enable you to perform to the fullest during this process. 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 ready 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.