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
Closing Date: 27th June
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:
- 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.
- 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.
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, ([email protected]) feeling confident that we’ve got your individual considerations covered.
Skills Required
- 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 (including pandas, scikit-learn, PySpark)
- Advanced proficiency in SQL
- Demonstrable experience with ML lifecycle tooling such as MLflow and Databricks
- Strong understanding of testing, version control, containerisation, and monitoring
- Degree, PhD or post-doc in a quantitative discipline (statistics, mathematics, computer science, or related)
- Experience applying GenAI or NLP models to real-world business problems
What We Do
Virgin Atlantic first took to the skies in 1984 to shake things up, bringing a sparkle of red, a touch of wit and a passion for flying to the grey world of airlines. We fell in love with creating the best experience in the skies for our customers, and they fell in love with us right back. Since then we’ve become Britain’s second largest carrier, with non-stop transatlantic routes including New York, Orlando, the Caribbean, Delhi and Johannesburg. And thanks to our hugely successful joint venture with Delta, Air France and KLM, we can seamlessly connect our customers to over 350 cities across North America, Europe and the UK. Today, we want to empower everyone to take on the world. The customers we proudly fly and our people who go the extra mile. As we embark on a brand spanking new era of travel, it gives us more opportunities to do things differently and lead the way with fresh ideas. This means becoming more sustainable for our planet and our destinations, and working hard to make travel open to everyone, no matter who you are, who you love or where you go. And of course never, ever, forgetting the small stuff - like the clink of champagne glasses on a special occasion or a cheeky cream tea at 30,000 feet.
