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- Tasks: Develop AI-driven solutions and advanced analytics for luxury travel.
- Company: Join Pure Escapes, the leading luxury resort wholesaler with a global presence.
- Benefits: Competitive pay, flexible working conditions, and a vibrant team atmosphere.
- Why this job: Shape the future of luxury travel with cutting-edge data science.
- Qualifications: 3-5 years in data science, strong Python and SQL skills.
- Other info: Dynamic environment with opportunities for growth and collaboration.
The predicted salary is between 36000 - 60000 £ per year.
Pure Escapes is the world’s leading luxury resort wholesaler, specializing in high-end destinations across the Maldives, Seychelles, UAE, and South Africa. We have recently expanded our exclusive portfolio to include new, ultra-luxury destinations such as Mozambique, Zambia, Zimbabwe, and even Antarctica. With offices in the UK, Dubai, Maldives, Seychelles, and South Africa, we are proud to deliver a consistently exceptional standard of service, both to our high-profile clients and within our internal teams. Our reputation for excellence, innovation, and integrity extends across all areas of the business.
We offer a cutting-edge digital platform, uniquely built for the luxury travel sector, and specifically tailored to serve high-net-worth clients. This platform is one of the most advanced of its kind in the market, giving our travel partners unparalleled access to premium resort inventory, real-time availability, and dynamic pricing. At Pure Escapes, we are committed to staying ahead of the curve, combining technology, talent, and bespoke service to shape the future of luxury travel.
Role Overview
As part of our ongoing digital transformation, we are seeking an ambitious Junior Data Scientist to join our forward-thinking team. This is an exciting opportunity to work at the intersection of luxury travel and cutting-edge data science, contributing to the development of AI-driven solutions and advanced analytics capabilities that will shape the future of our business.
You’ll collaborate across teams—including development, sales, product, and marketing—to build scalable data solutions that improve customer experience, optimize operations, and drive strategic decision-making.
Key Responsibilities
- Contribute to the development of AI-driven and advanced analytics solutions, such as AI agents and hybrid models, that support decision-making and optimize internal processes.
- Support efforts to automate workflows and strengthen the company’s transition to becoming more AI & data-driven.
- Build and train machine learning models for business use cases (e.g., segmentation, prediction, scoring systems) with a focus on scalability and impact.
- Collaborate with product, sales, operations, and marketing teams to understand requirements and deliver actionable insights.
- Develop and maintain efficient data pipelines and analytical tools that empower internal teams through self-service insights.
- Collaborate in the design and maintenance of dashboards using Tableau to support decision-making across departments.
- Contribute to the development and evolution of the company’s data warehouse, ensuring data quality, consistency, and accessibility.
- Stay up to date with state-of-the-art AI methodologies and frameworks and apply them where relevant.
- Present findings and results clearly to both technical and non-technical stakeholders.
- Adapt quickly in a fast-paced, shifting environment, managing changing priorities with flexibility.
What We Look For
- 3–5 years of experience in data science, machine learning, or applied AI.
- Strong proficiency in Python for data analysis, modeling, and automation.
- Solid knowledge of SQL and relational databases (e.g., PostgreSQL, MongoDB).
- Experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
- Ability to analyze, structure, and communicate data effectively.
- Strong problem-solving skills, comfortable with ambiguity and evolving requirements.
- Experience with version control tools (e.g., Git) and collaborative development workflows.
- Desired: familiarity with BI tools.
- Desired: experience collaborating in the design of data warehouses and analytical architectures.
- A self-starter attitude with the ability to thrive in a dynamic, fast-changing environment.
- Passion for applying data and AI to improve both user experiences and business performance.
- Collaborative mindset, openness to feedback, and ability to work effectively across teams.
What We Offer
- Competitive Compensation: Based on experience and performance.
- Flexibility: We believe that work/life balance is important, so we offer flexible working conditions.
- Energetic team environment.
Junior Data Scientist in Liverpool employer: Pure Escapes
Contact Detail:
Pure Escapes Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior Data Scientist in Liverpool
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect with current employees at Pure Escapes. A friendly chat can sometimes lead to opportunities that aren’t even advertised!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those related to AI and analytics. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss how you can contribute to Pure Escapes’ mission of combining technology and luxury travel.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining the Pure Escapes team.
We think you need these skills to ace Junior Data Scientist in Liverpool
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Junior Data Scientist role. Highlight your experience with Python, SQL, and any machine learning frameworks you've used. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data science and luxury travel, and explain why you’re excited about joining Pure Escapes. Let us know how you can contribute to our innovative team.
Showcase Your Projects: If you've worked on relevant projects, make sure to include them in your application. Whether it's a machine learning model or a data pipeline, we love seeing practical examples of your work and how they relate to our goals.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team at Pure Escapes!
How to prepare for a job interview at Pure Escapes
✨Know Your Data Science Stuff
Make sure you brush up on your data science fundamentals, especially in Python and SQL. Be ready to discuss your experience with machine learning frameworks like scikit-learn or TensorFlow, as well as any projects you've worked on that demonstrate your skills.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled complex problems in the past. Think about situations where you had to adapt quickly or manage changing priorities, as this role requires flexibility in a fast-paced environment.
✨Understand the Business Context
Familiarise yourself with Pure Escapes and their luxury travel focus. Be ready to discuss how your data-driven insights can enhance customer experiences and optimise operations within the context of high-end travel.
✨Communicate Clearly
Practice presenting your findings in a way that's easy for both technical and non-technical stakeholders to understand. This is crucial, as you'll need to collaborate across various teams and ensure everyone is on the same page.