Freelance Data Scientist GenAI

Huxley; Schiphol-Rijk; Hybrid; EUR 60,000 - 80,000; Full time

Job summary

A leading technology firm in Schiphol-Rijk is seeking a Freelance Data Scientist GenAI. This role involves developing GenAI solutions, collaborating with business stakeholders, and engineering features to improve model performance. The ideal candidate should hold a Master’s degree and have hands-on experience with GenAI technologies. Applicants must be based in Europe due to local regulations. This position offers a hybrid work setup, blending office and remote work opportunities.

Qualifications

• 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.

Responsibilities

• Develop GenAI solutions used in live customer interactions.
• Collaborate with stakeholders to understand business requirements.
• Perform exploratory data analysis to assess and uncover data insights.
• Engineered features creatively for model performance.
• Deploy models into production and monitor improvements.

Skills

Tech-savvy

Analytical skills

Creative thinking

Results-oriented

Explaining technical solutions

Eager to learn ML technologies

Education

Master's degree in Data Science, AI, Computer Science, Econometrics

Tools

Python

Docker

SQL

GCP

Git

Job description

Huxley Schiphol-Rijk, North Holland, Netherlands

Freelance Data Scientist GenAI

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Principal Consultant @Huxley | Technology for Aviation & Tech-Platforms | Interim

Data Scientist - AI & GenAI Focus

For a client active within aviation, I am looking for an experienced Data Scientist that has experience with GenAI. This is an external role open to freelance and Payroll. The role requires Hybrid working in the Schiphol area and is only open to candidates that have 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.

Our 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, VertexAI).

Interested? Reply before Friday morning to be considered for the role.

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