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For Companies At a Glance
- Tasks: Lead the strategy and development of AI and machine learning products.
- Company: Join Virgin Atlantic, a diverse and inclusive workplace.
- Benefits: Enjoy hybrid working, competitive salary, and career growth opportunities.
- Other info: Be part of a supportive team that values your unique background.
- Why this job: Make a real impact by shaping innovative data science solutions.
- Qualifications: 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.
Manager - Data Product (Data Science) in Crawley employer: Virgin holidays
Contact Detail:
Virgin holidays Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Manager - Data Product (Data Science) in Crawley
✨Tip Number 1
Network like a pro! Reach out to folks in the data science and product management space. Attend meetups, webinars, or even just grab a coffee with someone who’s already in the game. You never know where a casual chat might lead!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your hands-on experience with data science projects. Whether it’s a GitHub repo or a personal website, make sure it highlights your ability to translate complex data into business value.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss model performance and deployment strategies. Practice explaining complex concepts in simple terms – it’ll impress both technical and non-technical interviewers.
✨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, you can tailor your application to highlight how your experience aligns with the role of Manager – Data Product.
We think you need these skills to ace Manager - Data Product (Data Science) in Crawley
Some tips for your application 🫡
Show Your Data Science Skills: Make sure to highlight your hands-on experience with data science, machine learning, and AI in your application. We want to see how you've tackled real-world problems using these skills, so don’t hold back!
Tailor Your Application: Take the time to customise your CV and cover letter for this role. Use the job description as a guide to showcase your relevant experience and how it aligns with what we’re looking for at Virgin Atlantic.
Communicate Clearly: We love clear communication! When explaining your past projects or experiences, make sure to break down complex concepts into simple terms. This will show us that you can bridge the gap between technical and non-technical stakeholders.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Virgin holidays
✨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.
✨Master the Product Management Angle
Since this role involves product management, be prepared to talk about your experience with roadmaps, prioritisation, and stakeholder engagement. Have examples ready that demonstrate how you've successfully managed data products from conception to deployment.
✨Communicate Clearly
You’ll need to explain complex concepts to non-technical stakeholders, so practice simplifying your explanations. Use clear, jargon-free language to describe your past projects and their impact. This will help you connect with the interviewers and showcase your communication skills.
✨Engage with Emerging Trends
Stay updated on the latest trends in data science, ML, and AI. Be ready to discuss how you can leverage these emerging techniques in the role. Showing that you're proactive about learning and applying new technologies will set you apart from other candidates.