Virgin Atlantic
Senior Analyst - Data Science and Operational Research

How your CV stacks up
Upload your CV to see how well it fits this job role
?%
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: Tuesday, 29th September 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.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
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.


Get help with your application
Your very own career expert that helps elevate your application to the next level.
Nice to have:
- Experience applying GenAI or NLP models to real-world business problems.
Be yourself – Our differences make us stronger
Our customers come from all walks of life and so do our colleagues. That’s why we’re proud to be an equal opportunity employer and actively encourage applications from all backgrounds. 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. We celebrate difference and everything that makes our colleagues unique by upholding an inclusive environment in which we can all thrive. So that everyone at Virgin Atlantic can be themselves and know they belong.
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. We are here to support you, so please reach out to our team, recruitment@fly.virgin.com feeling confident that we’ve got your individual considerations covered.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Location