Data Scientist in Hemel Hempstead

Data Scientist in Hemel Hempstead

Hemel Hempstead Full-Time 40000 - 50000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Transform data into insights by building machine learning models and analytical solutions.
  • Company: Join Haven, part of the award-winning Bourne Leisure family.
  • Benefits: Enjoy a competitive salary, annual bonus, and generous holiday discounts.
  • Other info: Hybrid working model with exciting career development opportunities.
  • Why this job: Make a real impact with data while collaborating in a supportive team environment.
  • Qualifications: Strong foundation in data science and experience with Python and SQL required.

The predicted salary is between 40000 - 50000 £ per year.

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
  • 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 at resourcingteam@haven.com.

How to Apply

We’re committed to fostering a diverse, equitable, and inclusive workplace, and we encourage applicants of all backgrounds to apply. To get started, click apply now and answer a few quick questions, which should take 5 minutes. Once submitted, a member of our team will be in touch.

Data Scientist in Hemel Hempstead employer: Leisure Employment Services

At Haven, we pride ourselves on being an exceptional employer, offering a supportive and inclusive work culture that values every team member. As a Data Scientist, you'll enjoy a hybrid working model, competitive salary, and numerous benefits including an annual bonus, generous holiday discounts, and extensive career development opportunities. Join us in creating brighter experiences while collaborating with passionate colleagues across our beautiful seaside locations.

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Contact Details:

Leisure Employment Services Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Scientist in Hemel Hempstead

Tip Number 1

Network like a pro! Reach out to current or former employees on LinkedIn, especially those in data science roles. Ask them about their experiences and any tips they might have for the interview process at Haven.

Tip Number 2

Prepare for technical interviews by brushing up on your Python and SQL skills. Practice coding challenges and be ready to discuss your past projects, focusing on how you turned data into actionable insights.

Tip Number 3

Showcase your curiosity! During interviews, ask insightful questions about Haven's data initiatives and how they use analytics to enhance guest experiences. This demonstrates your genuine interest in the role.

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 serious about joining the Haven team.

We think you need these skills to ace Data Scientist in Hemel Hempstead

Machine Learning
Statistical Analysis
Feature Engineering
Model Evaluation
Python
SQL
Data Manipulation

Some tips for your application 🫡

Tailor Your Application:Make sure to customise your CV and cover letter for the Data Scientist role. Highlight your experience with machine learning, Python, and SQL, and show how your skills align with what we’re looking for at Haven.

Showcase Your Projects:Include specific examples of projects where you've built and deployed models. We love seeing real-world applications of your skills, so don’t hold back on sharing your successes!

Be Clear and Concise:When writing your application, keep it straightforward. Use clear language to explain your experience and how it relates to the role. We appreciate clarity and want to understand your journey easily.

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets to us quickly and efficiently. Plus, it shows you’re keen to join our team!

How to prepare for a job interview at Leisure Employment Services

Know Your Data Science Fundamentals

Brush up on your machine learning techniques, statistical analysis, and feature engineering. Be ready to discuss how you've applied these skills in real-world scenarios, as this will show your hands-on experience and understanding of the data science journey.

Prepare for Technical Questions

Expect questions about Python, SQL, and data manipulation. Have examples ready that demonstrate your proficiency in these areas, especially how you've tackled data quality and governance issues in past projects.

Showcase Your Problem-Solving Skills

Be prepared to translate business problems into analytical solutions. Think of specific instances where you’ve successfully resolved technical challenges during model development and how you made decisions on feature engineering and model selection.

Emphasise Collaboration and Communication

Since you'll be working closely with cross-functional teams, highlight your ability to collaborate effectively. Share examples of how you've communicated complex data insights to non-technical stakeholders, showcasing your clarity and curiosity.