Senior Analyst - Data Science and Operational Research
At a glance
Senior Data Science role at Iagime. Crawley · full-time · no salary stated · we estimate £81,900–£111,875 across the United Kingdom.
Iagime has not published a salary for this role. The figure below is our estimate, not theirs.
dataroles summary, based on the employer's posting.
What you'll do
- Run machine-learning and optimisation work from initial idea through launch, then assess how it performs
- Build and improve predictive and prescriptive models tied to practical business results
- Work with data and ML engineers on reliable pipelines, CI/CD, and repeatable model releases
- Set up ongoing checks and retraining so deployed models stay effective and governed
- Turn analysis into clear recommendations for airline stakeholders and help improve internal ML tools
What you bring
- You have delivered applied machine-learning projects into production and managed their full lifecycle
- You have deployed and supported ML models using CI/CD pipelines
- You bring strong Python and SQL skills, including pandas, scikit-learn or PySpark
- You have used MLflow, Databricks or comparable listed lifecycle tools, plus testing, version control, containers and monitoring
- You hold a quantitative degree or have doctoral or postdoctoral experience in a related discipline
Who this fits
This senior role suits a data scientist who can connect technical modelling with commercial needs and work across teams. You’ll be on site in Crawley three days each week under a hybrid arrangement; the role is permanent and runs Monday to Friday, thirty-seven and a half hours per week.
From the employer
Location: VHQ, Crawley. With 3 days on site in line with our hybrid working model
Contract type: Permanent
Hours: 37.5 per week, Monday to Friday
Closing date: Sunday, 22nd November 2026
In a nutshell
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. Your work will directly influence operations, scheduling, and customer experiences, powering decisions that keep Virgin Atlantic ahead of the curve.
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.
Day to day
- 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 that deliver tangible business outcomes.
- 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.
- Partner with stakeholders across the airline to translate complex analytical results into clear, actionable recommendations.
Stay curious; keep up with developments in ML, GenAI, and responsible-AI practices, bringing new ideas to how we innovate with data.
About you
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.
You’ll bring:
- Proven 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.
- Demonstrable 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.
Nice to have:
Experience applying GenAI or NLP models to real-world business problems.
Accessibility and inclusion
We’re committed to making our recruitment process accessible. If you need reasonable adjustments or additional support, you can let us know in your application.
If you’d prefer to speak to someone directly before or during your application, interview or assessment, please contact our recruitment team at recruitment@fly.virgin.com.
We know every role and candidate is different, so we’ll discuss the adjustments available for the role and at each stage of recruitment, and how best to support you.
At Virgin Atlantic, we’re proud to be an equal opportunities employer and welcome applications from everyone. Whatever your background, identity, experience or perspective, we’d love to hear from you.
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