About this role
To address the challenge of transforming massive hotel data networks into real-time intelligence for the hospitality industry, Lighthouse is hiring a Data Science Engineer in Ghent. Operating within the Data Science Core team alongside three MLOps Engineers and a Lead Data Scientist, this professional will bridge the gap between initial business questions and customer-ready AI products. The scope includes internal consulting for teams lacking dedicated data science support, maintaining vital data domains, and researching advanced AI applications.
This position suits an autonomous engineer with a background in Python, cloud orchestration, and generative AI who enjoys guiding projects from concept to production. The ideal candidate communicates clearly with stakeholders, handles ambiguous problems, and thrives in a hybrid work environment.
What you will do
- Partner with internal teams to contribute data science expertise across various projects.
- Advise on, review, and contribute hands-on to machine learning and AI initiatives.
- Build, evaluate, and ship customer-facing machine learning and AI models.
- Take models and products from an initial concept all the way through to production.
- Support and maintain important data domains when operational needs arise.
- Research developments in advanced AI capabilities and experiment with their hospitality applications.
- Collaborate with stakeholders to determine when solutions are ready for customer use.
What you need
- Demonstrated professional experience in Data Science.
- Proficiency in using Python to develop machine learning or AI solutions.
- Practical experience with cloud orchestration tools.
- Hands-on experience working with generative AI.
- A proven track record of taking machine learning models or AI products into production for customers.
- Strong communication skills with experience handling ambiguous data science problems alongside stakeholders.
- Ability to work independently on data science projects.
- Full fluency in the English language.
Nice to have
- Experience working in a SaaS environment.
- Consulting background with experience delivering production-ready data science work.
Benefits
- Flexible working environment with options to work from home or the Ghent office
- Flexible time off for work-life balance
- Mobility budget or company car based on job category
- Net allowance for home office expenses and lunch/eco vouchers
- Comprehensive health insurance for employees and dependents
- Pension funding through group insurance
Skills and tech stack
Questions candidates ask
What is the remote work policy?
The role is offered on a hybrid basis out of Ghent, Belgium, with a flexible working environment that allows employees to work from home or at the office.
What tools and technologies will I be using?
You will work with a stack that includes Python, pandas, numpy, SQL, Google Cloud Platform tools like BigQuery and Vertex AI, Airflow, dbt, MLflow, GitLab, and Atlan.
Who will I be working with on the team?
You will join the Data Science Core team, working alongside three MLOps Engineers and a Lead Data Scientist while collaborating with other internal teams.
What compensation and perks are included?
The company offers a competitively maintained compensation package, a net allowance for home office expenses, lunch and eco vouchers, comprehensive health insurance, and pension funding.