Data Scientist

At Lighthouse, we’re on a mission to disrupt commercial strategy for the hospitality industry. Our innovative commercial platform takes the complexity out of data, empowering businesses with actionable insights, advanced pricing tools, and cutting‑edge business intelligence to unlock their full revenue potential.

Backed by $370 million in series C funding and driven by an unwavering passion for growth, we’ve welcomed five companies into our journey and have surpassed $100 million in ARR in 2024. Our 850+ teammates span 35 countries and represent 34 nationalities.

At Lighthouse, we’re more than just a workplace – we’re a community. Collaborative, fun, and deeply committed, we work hard together to revolutionize the hospitality sector. Are you ready to join us and shine brighter in the industry’s most exciting rocket‑ship? 🚀

The Hotels Network has joined Lighthouse! And we are expanding internationally. As a Data Scientist at The Hotels Network, you will develop and implement cutting‑edge Machine Learning (ML) and Artificial Intelligence (AI) techniques that power our market‑leading products. You’ll work across a wide range of ML/AI domains, including user behavior prediction, NLP, LLMs, computer vision, time‑series forecasting, and causal inference. Your work will directly influence key product features used by tens of thousands of hotels and millions of travelers around the world.

Examples of projects you’ll work on include:

• Oraculo Product – Build predictive systems to forecast user behavior, enabling personalized experiences and boosting hotel engagement and conversion.
• AI-Driven Web Content Analysis – Leverage NLP to analyze content across 20,000+ hotel websites, providing actionable insights to optimize the user journey.
• AI-Powered Personalization Tools – Use LLMs to launch recommendation engines that automatically configure personalized web tools for each property, maximizing direct booking effectiveness.

Your contributions will have a direct impact on the growth and results of The Hotels Network. By applying your machine learning expertise, you’ll enhance the personalization and performance of our platform, driving value for thousands of hotels globally. Your work will influence product decisions, improve customer experiences, and shape the future direction of our data‑driven innovations.

Our Data Science team is at the core of our innovation. We combine deep technical expertise with real‑world impact to deliver AI‑powered products that lead the market in personalization and performance. With access to a unique dataset of millions of daily user sessions across 20,000+ hotel websites, we develop high‑value innovations in ML/AI domains including:

• User behavior prediction
• NLP
• LLMs, RAGs, and agentic workflows
• Time series forecasting

We are a collaborative, ambitious, and creative team, eager to develop solutions that make a tangible difference for our clients.

• Flexible working environment:
  Hybrid role from our office in Barcelona.
• Flexible time off:
  Autonomy to manage your work‑life balance.
• Collaborative team:
  High‑bar, friendly, creative, and passionate colleagues.
• Career development:
  Workshops, frameworks, tools, training, and processes to realize your full potential.
• Impactful work:
  Shape products relied on by 75,000+ users worldwide.
• Competitive compensation:
  Proactively maintained to value your work.
• Referral bonuses:
  Earn rewards for bringing in new talent.

• Bachelor’s degree in a quantitative field such as Computer Science, Mathematics, Physics, Engineering, or similar.
• 3+ years of industry experience applying machine learning techniques.
• Strong technical skills in Python and core ML libraries (pandas, numpy, scikit‑learn, Tensor Flow/Keras or PyTorch, matplotlib, seaborn, FastAPI).
• Proven experience in end‑to‑end data science project execution — from ideation and planning to implementation, evaluation, and delivery.
• Strong theoretical and practical understanding of Machine Learning and statistics.
• Hands‑on, resourceful, self‑motivated, and creative attitude.

• Experience with Airflow DAGs, Apache Kafka, AWS,…