SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Lighthouse is an AI-powered commercial strategy platform for hospitality, backed by $370M in Series C funding with over $100M ARR. The company serves tens of thousands of hotels across 185 countries, including all top 15 global chains.
As a Data Science Engineer on the Data Science Core team, you will own projects from initial business question through to production models and AI products. You'll work in a shared team supporting data science across Lighthouse, combining hands-on internal consulting, domain support, and AI research specific to hospitality.
Key responsibilities:
- 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
- Take models and AI products from initial question through production
- Ramp up on important data domains to provide support and maintenance
- Research developments in advanced AI capabilities and experiment with applications 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 requires someone who can independently drive data science projects while drawing on senior support.
The company offers flexible working (home or global offices), flexible time off, career development workshops, mobility budget/company car, competitive compensation, 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 experience:
- SaaS environment experience
- Consulting backgrounds with production-ready data science delivery
Technologies: Python (pandas, numpy, ML libraries), SQL, Google Cloud Platform (BigQuery, Vertex AI, Dataflow, ADK), Airflow, dbt, MLflow, GitLab, Atlan
