Senior Data Scientist: Production ML for Business Impact

Virgin Atlantic

Crawley

Hybrid

GBP 70,000 - 110,000

Full time

8 days ago
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Job summary

Virgin Atlantic is seeking a Senior Data Scientist to design, build, and productionise ML solutions that shape how we fly, plan, and delight our customers. You’ll own the full lifecycle from framing the business problem and exploring data to deploying, monitoring, and improving models in production.

Your work will influence operations, scheduling, and customer experiences, powering decisions that keep Virgin Atlantic ahead of the curve.

Qualifications

  • Proven experience delivering applied ML projects in production.
  • Proven ability to deploy and maintain ML models through CI/CD pipelines.
  • Advanced proficiency in Python and SQL with experience in pandas, scikit-learn, PySpark.

Responsibilities

  • Lead end-to-end ML and optimisation projects from concept through deployment and post-launch performance analysis.
  • Build, test, and refine predictive and prescriptive models delivering tangible business outcomes.
  • Collaborate with data engineers and ML engineers to design robust pipelines integrated with CI/CD workflows.
  • Implement monitoring and retraining frameworks to maintain model performance and governance over time.
  • Contribute to our internal ML frameworks and tooling to streamline experimentation, validation, and deployment at scale.
  • Translate complex analytical results into clear, actionable recommendations for airline operations and strategy.
  • Stay up-to-date with ML, GenAI, and responsible-AI practices, bringing new ideas to data innovation.

Skills

Python
SQL
CI/CD pipelines

Education

PhD or equivalent

Tools

MLflow
Databricks
CI/CD tooling
Containerisation

Job description

Virgin Atlantic is seeking a Senior Data Scientist to design, build, and productionise ML solutions that shape how we fly, plan, and delight our customers. You’ll own the full lifecycle from framing the business problem and exploring data to deploying, monitoring, and improving models in production.

Your work will influence operations, scheduling, and customer experiences, powering decisions that keep Virgin Atlantic ahead of the curve.

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