At a Glance
- Tasks: Shape data-driven products that enhance member experiences through experimentation and decision-making.
- Company: Join Virgin Red, a forward-thinking tech company focused on personalisation.
- Benefits: Competitive salary, healthcare from day one, and a personal learning budget.
- Other info: Flexible work environment with opportunities for growth and diverse perspectives welcomed.
- Why this job: Make a real impact by turning complex data into actionable insights for our members.
- Qualifications: Experience in data product management or data science with a focus on real business outcomes.
The predicted salary is between 93500 - 114500 £ per year.
We're looking for a Data Product Manager to turn experimentation, data science and decisioning into products that create genuinely better experiences for our members. You'll help shape the models, experiments and decision engines that power personalisation across Virgin Red. If you're excited by taking complex data and turning it into real-world decisions, you'll feel right at home.
Application Deadline: 21 August 2026
Department: Technology
Location: London
Compensation: £93,500 - £114,500 / year
What you’ll be getting stuck into:
- Co-own the product strategy for decisioning, optimisation and data science products that power personalised experiences.
- Work alongside data scientists to take models from experimentation into reliable, scalable products used across the business.
- Lead experimentation, helping teams test ideas, learn quickly and make better decisions backed by data.
- Build reusable data products, features and signals that improve how we understand and serve our members.
- Partner with commercial, product and strategy teams to solve complex problems where customer needs, business goals and technical trade-offs all come together.
- Help shape how Virgin Red uses customer data responsibly to create smarter recommendations and more relevant experiences across our partner network.
- Balance scientific curiosity with delivering measurable outcomes that make a real difference to our members and the business.
What you’ll bring:
- Experience as a Data Product Manager, or a former Data Scientist who has moved into product management.
- A strong understanding of experimentation, predictive modelling, recommendation systems and data science workflows.
- Experience taking data science products from idea through to production, with a focus on real business impact.
- Confidence working closely with data scientists, engineers and senior stakeholders, translating complex concepts into clear decisions.
- A product mindset, treating models and experiments as products that evolve over time rather than one-off projects.
What you’ll get in return:
We know life doesn’t stop when work starts. So we’ve built our benefits to support you - at work and beyond.
- Life: support when it matters most, with healthcare from day one, family-friendly policies and help for life’s bigger moments.
- Work: the foundations that set you up for the future, including a competitive pension, life assurance and options like our EV scheme.
- Spirit: space to grow and enjoy the journey, with a personal learning budget, mentoring, volunteering time… and our famous “Screw it, let’s do it” pot.
The essentials:
Salary: £93,500 – £114,500 + bonus — we’re big on transparency, so no smoke and mirrors here. We’ll always offer a salary that reflects your experience, with room to grow within the range.
Where you’ll work: We come together in the office 1-2 days a week — the rest is yours to work in your own space.
Bring your whole self: We welcome people from all walks of life, with all kinds of experiences and ways of thinking. Different perspectives, however your mind works, help us see things differently and do things better.
If there’s anything we can do to support you through the hiring process, just let us know, we’ll always do our best to make it work for you.
We believe in using business as a force for good, creating positive change for our people, our communities and the world around us. That includes being a Fair Chance employer and championing strengths like dyslexic thinking - staying open, listening to individual circumstances and focusing on potential.
Where could this role take you? Your Virgin adventure starts here.
Data Product Manager (Decisioning, Optimisation & Data Science) employer: Virgin Red
At Virgin Red, we pride ourselves on being an exceptional employer that fosters a dynamic and inclusive work culture. Our team enjoys a wealth of growth opportunities, with access to innovative projects and collaboration across various departments, all set against the vibrant backdrop of our London location. Join us to be part of a forward-thinking company that values creativity and strategic thinking in driving meaningful partnerships.
StudySmarter Expert Advice🤫
We think this is how you could land Data Product Manager (Decisioning, Optimisation & Data Science)
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Virgin Red!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Product Manager (Decisioning, Optimisation & Data Science) at Virgin Red.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Virgin Red.
✨Apply Directly through Our Website
When you find a suitable opening like Data Product Manager (Decisioning, Optimisation & Data Science) at Virgin Red, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Product Manager (Decisioning, Optimisation & Data Science)
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Virgin Red, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Virgin Red. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Virgin Red
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Virgin Red!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
