Virgin Atlantic
Manager - Data Product (Data Science)

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Hours: 37.5 per week, Monday to Friday Location: Hybrid working 3 days a week in Virgin Atlantic HQ, Fleming Way, Crawley, West Sussex Contract: Permanent Closing date: 16th August 2026
In a Nutshell
Virgin Atlantic is looking for a Manager - Data Product (Data Science) to lead the strategy, development and adoption of machine learning and AI products across the business.
This is a specialist product role for someone who understands data science in practice. You will need to have hands-on experience working with data science teams, machine learning models, statistical testing and AI solutions, with the credibility to challenge technical choices, shape model-led products and translate complex methods into business value.
You will own the roadmap for data science products, working closely with data scientists, data engineers, technology teams, delivery partners and senior stakeholders. The role will focus on identifying high-value opportunities, defining product requirements, supporting model development and deployment, and ensuring that data science products are scalable, well-governed and adopted by users.
We are looking for someone who can operate at the intersection of data science, technology and product management. You should be comfortable discussing model performance, experimentation, data quality, deployment considerations and user needs, while also managing priorities, stakeholder expectations and measurable business outcomes.
Day to Day
- Develop and manage the roadmap for machine learning, AI and data science products.
- Work with data scientists and engineers to shape, build, test and deploy models and AI-enabled solutions.
- Translate business problems into clear product requirements for data science delivery teams.
- Use your technical understanding to support decisions around model design, experimentation, scalability and performance.
- Engage senior stakeholders to communicate product value, progress, risks and outcomes.
- Drive adoption of data science products through strong user engagement, communication and support.
- Maintain product quality standards across data integrity, governance, usability and business impact.
- Stay close to emerging data science, ML and AI techniques and identify opportunities to apply them effectively.
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.
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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.
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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
- Strong experience in data science, machine learning, AI or a closely related technical field.
- Hands-on experience building, developing, testing or deploying data science models or AI solutions.
- Good working knowledge of ML techniques, statistical testing, model performance and experimentation.
- Experience with tools such as Python, R, SQL, TensorFlow, PyTorch, Azure, AWS or similar technologies.
- Product management experience, including roadmap ownership, prioritisation, requirements gathering and stakeholder engagement.
- Ability to work with both technical teams and non-technical business stakeholders.
- Strong communication skills, with the ability to explain complex models, algorithms and insights clearly.
- Experience delivering data science products that have created measurable business value.


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Ideal background
You may currently be working as a Data Science Product Manager, Analytics Product Manager, Machine Learning Product Owner, Lead Data Scientist moving into product, or a technical product manager with strong AI/ML experience.
The key requirement is that you have not only managed data products, but have also had meaningful hands-on exposure to data science build, model development, experimentation or deployment.
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.
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