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For Companies At a Glance
- Tasks: Lead the strategy and development of AI and machine learning products at Virgin Atlantic.
- Company: Join Virgin Atlantic, a forward-thinking airline with a commitment to innovation.
- Benefits: Enjoy hybrid working, competitive salary, and a supportive work environment.
- Other info: Embrace diversity in an inclusive workplace where everyone can thrive.
- Why this job: Make a real impact by shaping data science products that drive business value.
- Qualifications: Strong experience in data science, machine learning, and product management required.
The predicted salary is between 60000 - 80000 £ per year.
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: 8th May 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.
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.
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.
Our recipe for Leadership
At Virgin Atlantic, our leaders empower teams to thrive through collaboration, innovation, and excellence. 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.
Manager – Data Product (Data Science): Virgin Atlantic employer: Manor Royal Business District
Contact Detail:
Manor Royal Business District Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Manager – Data Product (Data Science): Virgin Atlantic
✨Tip Number 1
Network like a pro! Reach out to people in the data science and product management fields, especially those at Virgin Atlantic. A friendly chat can open doors and give you insights that might just set you apart from other candidates.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies showcasing your hands-on experience with data science models and AI solutions. This will help you demonstrate your technical chops and how you've created business value in the past.
✨Tip Number 3
Get familiar with Virgin Atlantic's products and services. Understanding their business model and how data science can enhance it will help you tailor your conversations and show that you're genuinely interested in contributing to their success.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re serious about joining the Virgin Atlantic team and ready to take on the challenge of leading data products.
We think you need these skills to ace Manager – Data Product (Data Science): Virgin Atlantic
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Manager – Data Product role. Highlight your hands-on experience with data science, machine learning, and AI solutions, as well as your product management skills. This shows us you understand what we're looking for!
Showcase Your Technical Skills: Don’t shy away from mentioning your technical expertise! Include specific tools and technologies you've worked with, like Python, SQL, or TensorFlow. We want to see how your background aligns with our needs in data science and product management.
Communicate Clearly: When writing your application, keep it clear and concise. Use straightforward language to explain complex concepts. We appreciate candidates who can communicate effectively, especially when discussing model performance and business value.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it makes the process smoother for everyone involved!
How to prepare for a job interview at Manor Royal Business District
✨Know Your Data Science Stuff
Make sure you brush up on your data science knowledge, especially around machine learning and AI. Be ready to discuss specific models you've worked with and how they created business value. This will show that you not only understand the theory but can also apply it in practice.
✨Speak Their Language
Since you'll be working with both technical teams and non-technical stakeholders, practice explaining complex concepts in simple terms. Use examples from your past experiences to illustrate how you've successfully communicated technical details to different audiences.
✨Showcase Your Product Management Skills
Be prepared to talk about your experience with product roadmaps, prioritisation, and stakeholder engagement. Highlight specific projects where you’ve owned the roadmap for data science products and how you ensured their successful adoption across the business.
✨Engage with Emerging Trends
Stay updated on the latest trends in data science, ML, and AI. During the interview, mention any new techniques or tools you’re excited about and how you think they could benefit Virgin Atlantic. This shows your passion for the field and your commitment to continuous learning.