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Lighthouse is an AI-powered commercial strategy platform for hospitality, serving 85,000+ users across 185 countries. The company has raised $370M in Series C funding and generates over $100M in ARR, with 850+ employees across 35 countries.
As a Data Science Engineer on the Data Science Core team, you will own data science projects end-to-end—from initial business questions through to production models and AI products that reach customers. You'll work in a shared team supporting data science across the organization, combining hands-on internal consulting for teams without embedded data science support, domain expertise maintenance, and research into AI applications for hospitality.
Key responsibilities include:
- Partner with internal teams to contribute data science expertise to projects
- Advise on and review data science work, or contribute hands-on to longer-term projects
- Build, evaluate, and ship machine learning and AI models for customer-facing use
- Bring models and AI products from initial concept through to production
- Ramp up on important data domains to provide support and maintenance as needed
- Research developments in advanced AI capabilities and experiment with their application in hospitality
- Collaborate with stakeholders to determine solution readiness for customer use
You'll work alongside three MLOps Engineers and a Lead Data Scientist. The role emphasizes independent work while drawing on senior support. The team supports data science across Lighthouse, maintains critical data domains, and explores how AI advances can be applied in the hospitality sector.
The company offers flexible working (hybrid in Ghent or remote from global offices), flexible time off, career development support, competitive compensation, mobility budget or company car, home office allowance, lunch and eco vouchers, comprehensive health insurance, pension funding, and referral bonuses.
Requirements:
- Proven experience in Data Science
- Experience using Python to develop machine learning or AI solutions
- Experience with cloud orchestration
- Experience with generative AI
- Track record of taking machine learning models or AI products into production for customers
- Strong communication skills and experience working with stakeholders on ambiguous data science problems
- Ability to work independently on data science projects
- Fluency in English
Welcome additions:
- Experience in a SaaS environment
- Consulting background with experience delivering production-ready data science work
Technologies: Python (pandas, numpy, ML libraries), SQL, Google Cloud Platform (BigQuery, Vertex AI, Dataflow, ADK), Airflow, dbt, MLflow, GitLab, Atlan.
