At a Glance
- Tasks: Develop predictive models and analyse complex datasets to drive business value.
- Company: Join Virgin Media, a leader in UK digital infrastructure investment.
- Benefits: Generous holiday allowance, pension contributions, performance bonuses, and product discounts.
- Why this job: Gain hands-on experience in a fast-paced environment while making a real impact.
- Qualifications: MSc/PhD in STEM or 1-2 years of data science experience required.
- Other info: Collaborative team culture with opportunities for continuous learning and growth.
The predicted salary is between 28800 - 48000 ÂŁ per year.
hackajob is collaborating with Virgin Media to connect them with exceptional tech professionals for this role.
The Data Scientist at Virgin Media will play an important role in developing predictive models, analysing complex datasets, and supporting the delivery of dataâdriven products that drive value across the business. This role sits within our fraud and credit risk domain, where you will help build and maintain models that detect fraud, assess customer risk, and strengthen decisionâmaking for critical business processes.
This is an excellent opportunity for earlyâcareer data scientists â including MSc/PhD graduates â to gain handsâon experience building productionâgrade models in a fastâmoving, highâimpact environment. You will work as part of a highâperforming data science & insight team, contributing to the wider modelling ecosystem and supporting the ongoing development of analytical capabilities across Virgin Media.
Virgin Media is delivering the biggest investment in UK digital infrastructure for over a decade, with a ÂŁ3bn programme extending ultrafast broadband and Virgin TV services to millions of homes and businesses.
Role Purpose
You will be part of our Data Science organisation, which creates data products that provide Virgin Media with competitive advantage. We apply statistics and machine learning to uncover insights, enable riskâbased decisioning, and automate processes across the business.
In this role, you will support the development, monitoring, and improvement of models used in credit risk assessment, fraud detection, and responsible customer decisioning. You will also contribute to data exploration, feature development, and analysis that helps shape risk strategies, reduce losses, and ensure Virgin Media is protected from emerging fraud threats. You will help maintain the predictive models and segmentation tools that feed core business infrastructure, ensuring they remain accurate, reliable, and compliant.
Core Skills
- Strong academic background in a STEM field (MSc or PhD preferred) or 1-2 years of commercial data science experience
- Solid grounding in statistics, probability, and core machine learning concepts
- Experience applying ML techniques to realâworld datasets
- Interest or exposure to natural language processing or large language models (LLMs), with a desire to learn more about agentic AI and callâcentre automation use cases
- Ability to translate business questions into clear analytical approaches
- Familiarity with A/B testing and experimentation
- Practical experience with SQL and Python (numpy, pandas, scikitâlearn, matplotlib, etc.)
- Clear communication skills, including explaining technical concepts to nonâtechnical partners
- Curious, proactive, and comfortable exploring new methodologies and technologies
- Ability to work in a shipping/iterative product environment and contribute to continuous improvement
Key Responsibilities
- Build and maintain predictive models that support Virgin Media's key business functions
- Contribute to the development of AI components for our LLMâpowered callâcentre automation platform
- Conduct detailed data exploration to identify opportunities for optimisation and automation
- Support model monitoring, performance evaluation, and continuous improvement
- Develop clean, productionâready analytical code
- Collaborate with data engineers, product teams, and operational partners to ensure highâquality delivery
- Champion a dataâdriven mindset across the business
Join us and you will be part of the Virgin Media family. We offer a fantastic working environment and impressive benefits â including a generous holiday allowance, contributory pension, performanceârelated bonus, and discounts across Virgin Media products and Virgin brands.
Data Scientist in London employer: hackajob
Contact Detail:
hackajob Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Data Scientist in London
â¨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works at Virgin Media. Building relationships can open doors that a CV just can't.
â¨Show Off Your Skills
Donât just talk about your experience; showcase it! Create a portfolio of your projects, especially those involving predictive models or data analysis. Share it on platforms like GitHub to let potential employers see your work in action.
â¨Ace the Interview
Prepare for your interviews by practising common data science questions and case studies. Be ready to explain your thought process clearly, especially when discussing complex concepts like machine learning or A/B testing.
â¨Apply Through Our Website
Make sure to apply directly through our website! Itâs the best way to ensure your application gets seen by the right people. Plus, youâll be one step closer to joining the Virgin Media family!
We think you need these skills to ace Data Scientist in London
Some tips for your application đŤĄ
Tailor Your CV: Make sure your CV is tailored to the Data Scientist role at Virgin Media. Highlight relevant skills like statistics, machine learning, and any experience with SQL and Python. We want to see how your background fits into our world!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how you can contribute to our fraud and credit risk domain. Let us know what excites you about working with Virgin Media.
Showcase Your Projects: If you've worked on any cool data science projects, make sure to mention them! Whether it's a university project or something from your previous job, we love seeing practical applications of your skills. It helps us understand your hands-on experience.
Apply Through Our Website: Don't forget to apply through our website! It's the best way for us to receive your application and ensures youâre considered for the role. Plus, itâs super easy and straightforward â just a few clicks and youâre done!
How to prepare for a job interview at hackajob
â¨Know Your Data Science Fundamentals
Make sure you brush up on your statistics, probability, and machine learning concepts. Be ready to discuss how you've applied these in real-world scenarios, especially in fraud detection or credit risk assessment.
â¨Showcase Your Technical Skills
Be prepared to demonstrate your proficiency in SQL and Python. You might be asked to solve a problem on the spot, so practice coding challenges that involve libraries like numpy, pandas, and scikit-learn.
â¨Communicate Clearly
Youâll need to explain complex technical concepts to non-technical partners. Practice articulating your thought process and findings in a way that's easy to understand, as this will be crucial in your role.
â¨Demonstrate Curiosity and Proactivity
Show your enthusiasm for exploring new methodologies and technologies. Discuss any recent projects or learning experiences related to natural language processing or AI, and how they could apply to Virgin Media's goals.