Freelance Data Scientist Genai
Huxley
About the role
Location
Huxley Schiphol‑Rijk, North Holland, Netherlands
Role
Freelance Data Scientist – GenAI
About the role
- External role open to freelance and payroll
- Hybrid working in the Schiphol area
- Only open to candidates with European nationality due to screening processes
What will you do?
- Develop GenAI solutions used in live customer interactions 24/7, helping customers get the right products and services.
- Collaborate with stakeholders and subject matter experts to understand business problems and requirements.
- Perform exploratory data analysis to assess data quality and uncover insights.
- Engineer features creatively, combining new data sources with traditional warehouses and data lakes to boost model performance.
- Execute experiments, log metrics, parameters, and metadata in a model registry for reproducibility.
- Deploy models into production and work with engineers to meet company‑wide standards.
- Continuously monitor, retrain, and improve models with new features.
- Drive cloud‑native data science development: build new solutions in cloud environments and migrate existing applications.
- Translate data science requirements into architectural components and workflows.
- Share your insights at community events.
About the team
The GenAI team within Big Data Engineering & Maintenance consists of researchers, data scientists, and ML engineers working closely with business stakeholders. The team is part of a larger Big Data program, collaborating with other data teams focused on predictive maintenance, supply chain, and maintenance planning optimization.
Core mission: improve Engineering & Maintenance processes using GenAI solutions. Example challenges include:
- Helping engineers quickly find the correct document during an Aircraft‑on‑Ground situation.
- Ensuring mechanics correctly fill in all information after engine repairs.
- Verifying manufacturer‑suggested changes for relevance to our aircraft.
These solutions directly impact operations, creating opportunities to save costs, boost customer satisfaction, and increase revenue.
Your profile
You are:
- Tech‑savvy with strong logic, math, and statistics skills.
- Entrepreneurial, analytical, creative, and results‑oriented.
- Skilled at explaining technical solutions in layman's terms.
- Eager to learn and stay up to date on ML and GenAI technologies.
You bring:
- A Master’s degree (or higher) in Data Science, AI, Computer Science, Econometrics, or similar.
- Experience writing production‑level Python code and applying software engineering principles.
- Hands‑on experience with GenAI/LLMs and Graph Analysis.
- Knowledge of MLOps processes, including deployment, monitoring, and retraining.
- Familiarity with Big Data tools and cloud development (GCP is a plus).
- Experience with external suppliers/partners and agile/scrum working methods.
- Bonus: experience with Agentic AI, GraphRAG, and Engineering & Maintenance.
Technologies we use
- Python, Docker, Git, SQL
- Grafana, Kibana, Prometheus
- Atlassian Suite (Confluence, JIRA)
- GitHub Actions
- GCP (BigQuery, Cloud Run, Vertex AI)
Application
Interested? Reply before Friday morning to be considered for the role.
Fraud warning (Let op: vacaturefraude)
Dutch:
- Wij zullen nooit via WhatsApp of in een videogesprek vragen om jouw persoonlijke gegevens (zoals een kopie van je ID, bankgegevens of BSN).
- Twijfel je over de echtheid van een vacature of contactpersoon? Neem dan altijd rechtstreeks contact met ons op via de officiële contactgegevens op onze website.
English:
- We will never ask for personal information (such as a copy of your ID, bank details, or BSN).
- If you doubt the authenticity of a vacancy or contact person, always contact us directly using the official contact details on our website.
Requirements
- A Master's degree (or higher) in DataScience, AI, Computer Science, Econometrics, or similar.
- Experience writing production-level Python code and applying software engineering principles.
- Hands‑on experience with GenAI/LLMs and Graph Analysis.
- Knowledge of MLOps processes, including deployment, monitoring, and retraining.
- Familiarity with Big Data tools and cloud development (GCP is a plus).
- Experience with external suppliers/partners and agile/scrum working methods.
Responsibilities
- Develop GenAI solutions used in live customer interactions 24/7, helping customers get the right products and services.
- Collaborate with stakeholders and subject matter experts to understand business problems and requirements.
- Perform exploratory data analysis to assess data quality and uncover insights.
- Engineer features creatively, combining new data sources with traditional warehouses and data lakes to boost model performance.
- Execute experiments, log metrics, parameters, and metadata in a model registry for reproducibility.
- Deploy models into production and work with engineers to meet company-wide standards.
- Continuously monitor, retrain, and improve models with new features.
- Drive cloud-native data science development: build new solutions in cloud environments and migrate existing applications.
- Translate data science requirements into architectural components and workflows.
- Share your insights at community events.
Skills
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