At a Glance
- Tasks: Transform data into insights by building machine learning models and analytical solutions.
- Company: Join Haven, a remote-first company focused on creating brighter experiences.
- Benefits: Enjoy a competitive salary, annual bonus, and discounts on holidays for you and your loved ones.
- Other info: Exciting career pathways and a commitment to diversity, equity, and inclusion.
- Why this job: Make a real impact by turning complex data into actionable insights that drive business decisions.
- Qualifications: Strong foundation in data science with hands-on experience in Python and SQL.
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.
Benefits
- Holiday Buy Scheme
- Annual bonus
- 20% discount on both Haven and Warner Hotels holiday for you, family and friends
- Generous discounts on Haven and Warner Hotels holidays for you, your family and friends
- Comprehensive wellbeing support
- Exclusive discounts with corporate partners
- Access to the Bourne Leisure corporate box at the O2 Arena, London
- Exciting career pathways, including Learning and Development opportunities such as Apprenticeships and Degrees
- Enhanced family friendly policies and pay (eligibility criteria applied)
Diversity, Equity and Inclusion
We are committed to diversity, equity and inclusion. We encourage applications from all backgrounds, communities and industries and we are ready to discuss any reasonable adjustments or flexibility that you may require.
Data Scientist in England employer: Haven
At Haven, we pride ourselves on being an exceptional employer that values innovation and collaboration. As a Data Scientist in a remote-first environment, you'll enjoy a flexible work culture that promotes personal growth and professional development, alongside competitive benefits such as an annual bonus, generous holiday discounts, and comprehensive wellbeing support. Join us to make a meaningful impact while enjoying exciting career pathways and a commitment to diversity and inclusion.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist in England
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Haven on LinkedIn. A friendly chat can give you insider info and might just get your application noticed.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data science projects, especially those involving machine learning. This will help you stand out during interviews and demonstrate your hands-on experience.
✨Tip Number 3
Practice makes perfect! Brush up on common data science interview questions and coding challenges. We recommend doing mock interviews with friends or using online platforms to build your confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the Haven team.
We think you need these skills to ace Data Scientist in England
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Data Scientist role. Highlight your machine learning projects, Python proficiency, and any relevant analytical work to catch our eye!
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about data science and how you can contribute to our team. Share specific examples of how you've turned data into actionable insights in previous roles.
Showcase Your Technical Skills:Don’t forget to mention your experience with SQL and data manipulation! We love seeing candidates who can demonstrate their technical prowess and understanding of data quality and governance.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and we can’t wait to see your application come through!
How to prepare for a job interview at Haven
✨Know Your Data Science Fundamentals
Brush up on your machine learning techniques, statistical analysis, and feature engineering. Be ready to discuss specific projects where you've applied these skills, as it shows you can translate theory into practice.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled real business problems with data. Highlight your thought process in translating complex questions into actionable insights, as this is key for the role.
✨Familiarise Yourself with Python and SQL
Since proficiency in Python and SQL is crucial, be prepared to discuss your experience with these tools. You might even want to run through some coding challenges or data manipulation tasks to demonstrate your skills.
✨Emphasise Collaboration and Communication
This role involves working closely with cross-functional teams, so be ready to share experiences where you've successfully collaborated. Highlight how you communicate technical concepts to non-technical stakeholders, as clarity is essential.
