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: Experience in data science, machine learning, and product management is essential.
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 in Crawley employer: Manor Royal Business District
Elekta is an exceptional employer, offering a dynamic work environment where innovation meets collaboration in the MedTech sector. With a strong focus on employee growth, we provide comprehensive benefits including paid vacation, private medical insurance, and a competitive pension scheme, all while fostering a culture that values strategic thinking and teamwork. Join us in our office-based role to make a meaningful impact in global radiotherapy solutions and advance your career in a supportive setting.
Contact Details:
Manor Royal Business District Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Manager - Data Product (Data Science): Virgin Atlantic in Crawley
✨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 projects. Highlight how you've translated complex data into business value – this is what will catch their eye!
✨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 speak their language during interviews. Plus, it shows you're genuinely interested in the role!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re proactive and keen on joining the Virgin Atlantic team.
We think you need these skills to ace Manager - Data Product (Data Science): Virgin Atlantic in Crawley
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Manager – Data Product role. Highlight your hands-on experience with data science, machine learning, and AI solutions. We want to see how your skills align with the job description!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this role. Share specific examples of your past experiences that relate to product management and data science.
Showcase Your Technical Skills:Don’t forget to mention your technical skills! Whether it's Python, SQL, or any other tools you've used, we want to know how you’ve applied them in real-world scenarios. This will help us see your credibility in the field.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and keep track of it. Plus, it shows you’re keen on joining our team!
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, the challenges you faced, and how you overcame them. This will show that you have the hands-on experience they’re looking for.
✨Speak Their Language
Familiarise yourself with the technical jargon and tools mentioned in the job description, like Python, R, SQL, and TensorFlow. Being able to communicate effectively with both technical teams and non-technical stakeholders is crucial, so practice explaining complex concepts in simple terms.
✨Showcase Your Product Management Skills
Prepare examples of how you've managed product roadmaps, prioritised tasks, and engaged with stakeholders. Highlight any measurable business outcomes from your previous projects to demonstrate your ability to drive value through data science products.
✨Engage and Ask Questions
During the interview, don’t hesitate to ask insightful questions about their current data science initiatives and future goals. This shows your genuine interest in the role and helps you understand how you can contribute to their success.
