At a Glance
- Tasks: Lead the strategy and development of AI and machine learning products.
- Company: Join Virgin Atlantic, a diverse and inclusive travel company.
- Benefits: Enjoy hybrid working, competitive salary, and career growth opportunities.
- Other info: Be part of a supportive team that values diversity and inclusion.
- 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.
Location: Hybrid working 3 days a week in Virgin Atlantic HQ, Fleming Way, Crawley, West Sussex
Contract: Permanent
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.
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) employer: Virgin Atlantic
Virgin Atlantic is an exceptional employer, offering a dynamic hybrid working environment at our Crawley HQ, where innovation and collaboration thrive. We prioritise employee growth through continuous learning opportunities in data science and AI, while fostering an inclusive culture that celebrates diversity and empowers every team member to contribute their unique perspectives. Join us to lead impactful data products that drive business value and make a difference in the travel industry.
StudySmarter Expert Advice🤫
We think this is how you could land Manager – Data Product (Data Science)
✨Tip Number 1
Network like a pro! Reach out to people in the data science and product management fields. Attend meetups, webinars, or even just grab a coffee with someone who’s already in the game. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨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. This will give you an edge when chatting with potential employers.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss model performance, experimentation, and user needs. Practice explaining complex concepts in simple terms, as you’ll need to communicate effectively with both technical and non-technical stakeholders.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing applications directly from candidates who are passionate about joining us. Tailor your application to highlight your relevant experience in data science and product management, and let us know how you can contribute to our mission.
We think you need these skills to ace Manager – Data Product (Data Science)
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. We want to see how you can bring value to our team!
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. This will help us understand your background and how it aligns with our needs.
Communicate Clearly:When writing your application, aim for clarity and conciseness. We appreciate candidates who can explain complex concepts in simple terms. This is especially important for a role that bridges technical and non-technical teams!
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 shows you’re keen on joining our team at Virgin Atlantic!
How to prepare for a job interview at Virgin Atlantic
✨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. Think of examples where you successfully translated business problems into product requirements and how you drove adoption of data science products.
✨Communicate Clearly
You’ll need to explain complex concepts to non-technical stakeholders, so practice simplifying your explanations. Use clear, relatable language when discussing model performance or data quality, and be ready to share how you’ve engaged users in the past.
✨Stay Current with Trends
Familiarise yourself with the latest trends in data science, ML, and AI. Be ready to discuss emerging techniques and how they could be applied at Virgin Atlantic. Showing that you’re proactive about staying updated will demonstrate your passion for the field.
