Data Science Engineer

Our Mission: Why Lighthouse? 

At Lighthouse, we’re on a mission to revolutionize commercial strategy as hospitality’s most powerful AI platform. We take the world's largest hotel data network and transform it into real-time intelligence that drives action. We don't just deliver insights; we empower businesses to make decisions that move revenue. 

With $370M in Series C funding and over $100M in ARR, we are scaling at lightspeed. Our 850+ teammates across 35 countries aren't just building software—they are leveraging cutting-edge AI to help hoteliers be the first to act. Tens of thousands of hotels across 185 countries trust Lighthouse to execute their commercial strategy, including every one of the top 15 global chains and thousands of independent hotels that consistently outperform their markets. With Lighthouse AI, the intelligence gets deeper. Decisions get smarter. Actions get faster. We help hoteliers be first to act.

Lighthouse Values: Our guiding light

We are Lumineers. Our shared values keep us on a collaborative path fostering a cultural and customer centric environment

• Pursuit of greatness: We’re innovators who care deeply about our customers’ success. Our team brings their best work, stays curious, and delivers excellence through attention to detail
• Meaningful work matters: We make every moment count by knowing what to deliver, why it matters, and how it drives Lighthouse forward
• Elevate each other: We don’t just work together - we grow together. What unites us is understanding each other as people and working toward shared goals

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? 🚀

Job Details

• 💼 Engineering
• 📍 Belgium - Ghent
• 🕜 Full-Time/Hybrid

What you will do

As a Data Science Engineer, you will work in the Data Science Core team, a shared team supporting data science across Lighthouse. You will own work from an initial business question through to models and AI products that reach customers. The role combines hands-on internal consulting for teams without embedded data science support, readiness to support important data domains, and continuous research into AI applications for hospitality. You will work independently on projects while drawing on the support of Senior Data Scientists and MLOps Engineers.

Where you will have impact

• Partner with internal teams to contribute your data science expertise to projects
• Advise on and review data science work, or contribute hands-on to longer projects.
• Build, evaluate, and ship machine learning and AI models for customer-facing use.
• Bring models and AI products from an initial question through to production.
• Ramp up on important data domains to provide support and maintenance when needs arise.
• Research developments in advanced AI capabilities and experiment with their application in hospitality.
• Collaborate with stakeholders to determine whether a solution is ready for customer use.

About our team

You'll be joining our Data Science Core team. Supporting teams with data science expertise, maintaining important data domains, and researching how developments in AI can be applied in hospitality. You'll work alongside three MLOps Engineers and a Lead Data Scientist. This is a role for someone who can take data science work from an initial question through to a product that reaches customers.

What's in it for you?

• Flexible working environment: Work from home or at one of our global offices.
• 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 85,000+ users worldwide.
• Mobility options: Mobility budget or company car (based on your job category).
• Competitive compensation: Proactively maintained to value your work.
• Net allowance: to support home office related expenses.
• Vouchers: lunch vouchers & eco vouchers.
• Comprehensive health insurance: Extensive coverage for you and your dependents.
• Pension funding: Group insurance to secure your future.
• Referral bonuses: Earn rewards for bringing in new talent.

Who you are

• Proven experience in Data Science.
• Experience using Python to develop machine learning or AI solutions.
• Experience with cloud orchestration.
• Experience with generative AI.
• A 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.

We welcome

• Experience in a SaaS environment.
• Consulting backgrounds with experience delivering production-ready data science work.

Technologies you will work with

Python (pandas, numpy, ML libraries...), SQL, Google Cloud Platform (BigQuery, Vertex AI, Dataflow, ADK...), Airflow, dbt, MLflow, GitLab, Atlan

Diversity, equity, inclusion, and belonging

Thank you for considering a career with Lighthouse. We are committed to fostering a diverse and inclusive workplace that values equal opportunity for all. We welcome candidates from all backgrounds, regardless of age, gender, race, religion, sexual orientation, and disability. Our commitment to equality is part of our culture. If you require reasonable accommodation at any point during the application or interview process, please notify your recruiter.

Not ticking every box? No problem! We value diverse backgrounds and unique skill sets, and we encourage individuals from all walks of life to apply. If your experience looks a little different from what we've described, but you're passionate about what we do and are a quick learner, we'd love to hear from you!

Learn more about our careers and recruitment process | Our company and leadership team | Beware of recruitment scams