Senior Data Science Analyst

Location and work model

• Based at VHQ in Crawley, with three days on site under the hybrid working model.

Contract

• Permanent position.

Hours

• 37.5 hours per week, Monday to Friday.

Role overview

Day-to-day responsibilities

• Lead end-to-end ML and optimization projects, from concept through deployment and post-launch performance analysis.
• Build, test, and refine predictive and prescriptive models that deliver tangible business outcomes.
• Partner with data engineers and ML engineers on robust pipelines, CI/CD integration, reproducibility, version control, and continuous deployment.
• Implement model monitoring and retraining frameworks to sustain performance and governance.
• Improve internal ML frameworks and tools for experimentation, validation, and deployment at scale.
• Turn complex analytical results into actionable recommendations with airline stakeholders.
• Track ML, GenAI, and responsible-AI developments and apply relevant ideas.

What you bring

• Proven experience delivering applied machine-learning projects in production.
• Proven record deploying and maintaining ML models through CI/CD pipelines.
• Advanced proficiency in Python, pandas, scikit-learn, PySpark, and SQL.
• Demonstrable experience with ML lifecycle tools such as MLflow and Databricks.
• Strong understanding of testing, version control, containerization, and monitoring.
• A degree, PhD, or postdoctoral experience in a quantitative discipline such as statistics, mathematics, computer science, or a related field.

Nice to have

• Experience applying GenAI or NLP models to real-world business problems.

Closing date

• Applications close Sunday, 22 November 2026.