Junior Data Scientist, The Hotels Network

• Bachelor’s double degree in Mathematics and Computer Science
• Strong theoretical and practical understanding of Machine Learning and statistics
• Proficient in Python and experienced with core Python ML libraries (e.g., pandas, numpy, scikit-learn, tensorflow/keras or pytorch, matplotlib, seaborn, fastapi)
• Strong problem-solving skills and a hands-on, resourceful attitude
• Self-motivated, creative, and always eager to learn and try new tools

Desirable

• Our Data Science team plays a key role in shaping the direction of our platform. We combine deep technical expertise with real-world impact, working across a wide range of ML/AI domains — from user behavior prediction and NLP to LLMs, computer vision, time-series forecasting, and causal inference
• Our Data Science team is at the core of our innovation. We develop and implement cutting-edge Machine Learning (ML) and Artificial Intelligence (AI) techniques that power our market-leading products. We’re able to deliver high-value innovations because:
• We have access to a unique dataset built from years of browsing behavior data from millions of daily users on hotel websites around the globe
• Our team has deep expertise across a wide range of ML/AI areas, including:
• User behavior prediction
• Natural Language Processing (NLP)
• LLMs, Retrieval-Augmented Generation (RAGs), and agentic workflows
• Recommenders
• Computer vision
• Time series forecasting
• Causal inference
• Our developments lead to real, high-impact products used by clients every day
• We’re growing our team and seeking someone eager to contribute to the development of cutting-edge AI and machine learning products that deliver real value to our customers
• Your work will directly influence key product features used by tens of thousands of hotels and millions of travelers around the world
• Here are some examples of what we have build:
• Oráculo Product
• We developed a predictive system using machine learning to forecast user behavior — including purchase likelihood, price sensitivity, and travel flexibility. This enables personalized experiences through targeted messaging, boosting both engagement and conversion for our hotel clients
• AI-Driven Web Content Analysis
• Leveraging NLP techniques, we built tools to analyze web content across more than 20,000 hotel websites. Combined with behavior data from over 400 million annual visitors, this delivers actionable insights that help hoteliers understand and optimize the user journey
• AI-Powered Personalization Tools
• Using Large Language Models (LLMs), we launched a recommendation engine that automatically configures personalized web tools for each property. It targets specific customer segments with the most relevant messaging — maximizing the effectiveness of direct booking strategies

• Trust first - autonomy in everyone's work
• A culture embracing remote working
• Flexible working hours
• Flexible working hours
• Kitchen stocked with fruit, snacks, coffee…
• Kitchen stocked with fruit, snacks, coffee…
• Internal promotions from within the team
• Regular team building events

Total funding: $15.3m

Advanced online players in hospitality win additional customers by offering online consumers the kind of personalised, clean, intuitive experience they’ve come to expect. Hotels with a less finely tuned digital presence lose out, and it’s a shortfall The Hotels Network (THN) is looking to address. THN provides a full-stack platform for hotel growth, including analytics, benchmarking, and a predictive algorithm that automatically carries out website personalisation for visitors.