At a Glance
- Tasks: Lead the development of predictive models and automate customer interactions using AI.
- Company: Join Virgin Media O2, a forward-thinking company committed to innovation.
- Benefits: Enjoy generous holidays, a pension plan, performance bonuses, and exclusive discounts.
- Other info: Be part of an inclusive workplace that values authenticity and creativity.
- Why this job: Make a real impact with cutting-edge AI while mentoring a talented team.
- Qualifications: Experience in data science leadership, strong maths skills, and proficiency in SQL and Python.
The predicted salary is between 70000 - 90000 £ per year.
Overview
The Senior Data Scientist will play a major role in developing and implementing predictive models and conducting detailed data exploration to maximise business value and growth through advanced data science and AI techniques.
A key focus area will be the development of agentic AI systems leveraging large language models (LLMs) to automate customer call-centre interactions for basic queries, improving customer experience and reducing operational load.
You will work as part of a high-performing data science & insight team with ownership across the modelling lifecycle and the wider predictive modelling ecosystem.
The ideal candidate will be experienced in managing and developing a team, while remaining hands-on and passionate about building state-of-the-art machine learning and LLM-powered solutions.
Responsibilities
- Lead development of predictive models and perform detailed data exploration to maximise business value.
- Design, implement and deploy machine learning and AI solutions end-to-end, including scalable production pipelines and ML ops workflows.
- Develop agentic AI systems using large language models to automate routine customer call-centre interactions for basic queries.
- Bridge technical work with business objectives by ensuring models and automation initiatives map to strategic goals.
- Mentor and manage data science team members, fostering hands-on collaboration within a high-performing group.
- Collaborate across data science, analytics, engineering, and business stakeholders to align on modelling lifecycle and deployment.
Qualifications
- Hands-on leadership experience, including managing and developing data science teams.
- Strong mathematics or statistics foundation (MSc/Ph D or 5+ years of applied experience).
- Advanced SQL and Python skills, with deep knowledge of core data science libraries.
- Ability to design and manage data science development processes, including model factories and scalable production pipelines.
- Proven ability to apply machine learning, NLP, and generative AI/LLM techniques to real-world problems.
- Excellent communication skills, able to explain complex approaches to non-technical partners and drive business impact.
- Experience translating consumer and operational problems into analytics, AI agent, or automation use cases; familiarity with conversational AI, LLM fine-tuning, prompt engineering, and agent design patterns (call-centre automation a strong plus).
- Experience with A/B testing methodologies and experimentation frameworks.
- Strong data wrangling, transformation, visualization, and data storytelling skills.
- Strong commercial awareness with a proactive, creative, solutions-oriented mindset.
Benefits
- Generous holiday allowance
- Contributory pension
- Performance-related bonus
- Discounts across Virgin Media products and Virgin brands
- About Virgin Media O2
We are an equal opportunities employer and strive to remove bias and barriers for our people and candidates. We support you to be authentic throughout your application journey.
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StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist
✨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 Media!
✨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 Scientist at Virgin Media.
✨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 Media.
✨Apply Directly through Our Website
When you find a suitable opening like Data Scientist at Virgin Media, 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 Scientist
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 Media, 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 Media. 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 Media
✨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 Media!
✨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.
