Junior Data Scientist in Doncaster

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.