Data Science Data Science Senior Data Scientist

3 days ago

Crawley West Sussex, United Kingdom Virgin Atlantic Full time

Location: VHQ, Crawley, 3 days on site in line with our hybrid working model Contract Type: Permanent
Hours: 37.5 per week, Monday to Friday
Department: Data & AI
Reports to: Manager of Data Science and Operational Research

Are you a data scientist who turns models into measurable business impact?

At Virgin Atlantic, we’re looking for a Senior Data Scientist to design, build, and productionise machine-learning solutions that shape how we fly, plan, and delight our customers.
You’ll own the full project lifecycle, from defining the business problem and exploring the data to deploying, monitoring, and continuously improving models in production. As an important member of our team you’ll also help define our data-science best practices, and champion a culture that values experimentation, collaboration, and delivery excellence.

Lead end-to-end ML and optimisation projects, from concept through deployment and post-launch performance analysis.
Collaborate with data engineers and ML engineers to design robust pipelines integrated with CI/CD workflows, ensuring models are reproducible, version-controlled, and continuously deployed with confidence.
Implement monitoring and retraining frameworks to maintain model performance and governance over time.
Contribute to our internal ML frameworks and tooling, streamlining how we experiment, validate, and deploy models at scale.
keep up with developments in ML, GenAI, and responsible-AI practices, bringing new ideas to how we innovate with data.

You’re an experienced, impact-driven data scientist who has seen multiple projects through the full lifecycle, from Jupyter notebook to production API. You combine deep technical expertise with commercial understanding and thrive on collaboration.
5 + years’ experience delivering applied machine-learning projects in production.
~ Proven record of deploying and maintaining ML models through CI/CD pipelines
~ Advanced proficiency in Python (pandas, scikit-learn, PySpark) and SQL.
~ Experience with ML lifecycle tooling such as MLflow and Databricks.
~ Strong understanding of testing, version control, containerisation, and monitoring.
~ A degree, PHD or post-doc experience in a quantitative discipline such as statistics, mathematics, computer science, or a related field.


At Virgin Atlantic, we believe everyone can take on the world - no matter your age, gender, gender identity, gender expression, ethnicity, sexual orientation, disabilities, religion, or beliefs. To make your journey with us accessible and individual to you, we encourage you to let us know if you’d like a little extra help with your application, or if you have any individual requirements at any stage along your recruitment journey. Explore our Leadership Recipe and discover the 20 core ingredients that define what it means to lead with us, driving our mission to be the most loved travel company and achieve sustainable profit.

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