At a Glance
- Tasks: Develop predictive models and analyse complex datasets to combat fraud and assess customer risk.
- Company: Join Virgin Media O2, a leader in digital innovation and inclusivity.
- Benefits: Enjoy a fantastic reward package with benefits that support you and your loved ones.
- Other info: Be part of a diverse team that values curiosity and continuous improvement.
- 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.
The predicted salary is between 30000 - 40000 £ per year.
Data Scientists play an important role in developing predictive models, analysing complex datasets, and supporting the delivery of data‑driven 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 decision‑making for critical business processes. This is an excellent opportunity for early‑career data scientists — including MSc/PhD graduates — to gain hands‑on experience building production‑grade models in a fast‑moving, high‑impact environment. You will work as part of a high‑performing data science & insight team, contributing to the wider modelling ecosystem and supporting the ongoing development of analytical capabilities across Virgin Media.
The must haves:
- Strong academic background in a STEM field (MSc or PhD preferred) or 1-2 years of commercial data science experience
- Experience applying ML techniques to real‑world datasets
- Practical experience with SQL and Python (numpy, pandas, scikit‑learn, matplotlib, etc.)
- Ability to work in a shipping/iterative product environment and contribute to continuous improvement
- Solid grounding in statistics, probability, and core machine learning concepts
The other stuff we are looking for:
- Curious, proactive, and comfortable exploring new methodologies and technologies
- Familiarity with A/B testing and experimentation
What's in it for you:
Our goal is to celebrate our people, their lives and everything in-between. We aim to create a culture that empowers everyone to bring the best versions of themselves to work each and every day. We believe the most inclusive and diverse culture makes for a better business and a brighter world. Working at Virgin Media O2, you get a bumper reward package bursting with benefits, and loads of extras you can add if you’d like. These are designed to support both you and your loved ones, making sure that you’re covered no matter what life throws your way.
Equal Opportunities:
Virgin Media O2 is an equal opportunities employer and we're working hard to remove bias and barriers for our people and candidates. We build equity and inclusion into everything we do, from the policies we craft to the relationships we shape. We support and encourage you to be your authentic self throughout your application journey with us.
Data Scientist employer: Virgin Media O2
At Virgin Media O2, we pride ourselves on fostering a vibrant and inclusive work culture that empowers our employees to thrive. As a Data Scientist in London, you will not only gain invaluable hands-on experience in a dynamic environment but also benefit from a comprehensive rewards package designed to support your well-being and career growth. Join us to be part of a high-performing team that values diversity and encourages innovation, ensuring you can bring your best self to work every day.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist
✨Embrace Online Competitions
Get involved in online data science competitions like Kaggle or DrivenData. These platforms not only let you showcase your skills but also help you build a portfolio that stands out to hiring companies like Virgin Media O2 when you're aiming for that entry-level role.
✨Join Data Science Meetups
Look for local data science meetups or workshops happening in your area. These are perfect for connecting with industry professionals and fellow newbies, giving us the chance to learn the ropes and get our foot in the door at companies like Virgin Media O2.
✨Networking Through University Career Services
Don't forget to leverage your university's career services! They often have exclusive internships and networking events specifically for entry-level data science positions. This is a golden opportunity to meet recruiters from companies like Virgin Media O2.
✨Spotlight Your Skills Online
Create a strong online presence by sharing your projects and insights on platforms like GitHub or LinkedIn. Make sure to apply directly through Virgin Media O2’s career page, where your unique skills can shine in their entry-level data science openings!
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Show Off Your Data Skills:As you're aiming for an entry-level data science role at Virgin Media O2, don't forget to highlight your proficiency in programming languages like Python or R. Dive into your CV and mention any relevant projects or coursework that demonstrate your data analysis skills or machine learning knowledge.
Include Relevant Projects:If you've done any data-related projects, whether in your studies or during a personal quest, showcase them in a portfolio. This gives us a tangible sense of your capabilities and shows your hands-on experience with data manipulation, visualisation, or model building.
Tailor Your Cover Letter:When crafting your cover letter, make sure to express your enthusiasm for data science and how this role at Virgin Media O2 aligns with your career goals. Consider sharing why you’re drawn to data-driven decision-making and how you see yourself growing in this field.
Show Your Curiosity:In the data science world, curiosity is key! Mention any online courses or certifications you've pursued that complement your studies. This could be anything from a statistics certification to a data visualisation workshop. It shows us you're serious about learning and growing in this field.
How to prepare for a job interview at Virgin Media O2
✨Brush Up on Your Statistics
For a data science role, the interview may involve some statistical questions or problems. Make sure you're comfortable with concepts like probability, distributions, and hypothesis testing. This will not only help you answer questions but also show your analytical thinking.
✨Get Hands-On with Tools
Familiarise yourself with popular data science tools like Python, R, and SQL. If you're asked about specific projects, be ready to discuss the tools you used and how they contributed to your analysis. Showing that you not only know the theory but can apply it is essential!
✨Showcase Relevant Projects
As an entry-level candidate, your portfolio is crucial. Bring along examples of data projects you've worked on, whether during your studies or personal projects. Discuss the challenges you faced and how you overcame them, highlighting your problem-solving skills.
✨Prepare for Case Studies
Entry-level interviews in data science often include case studies where you'll have to analyse a dataset or solve a problem on the spot. Try out some practice case studies beforehand, so you're not caught off guard. It's all about displaying your thought process and how you tackle data-driven challenges!
