Liberty Global

About the Company

Liberty Global is a world leader in converged broadband, video and mobile communications and an active investor in cutting-edge infrastructure, content and technology ventures.

With our investments in fibre-based and 5G networks we play a vital role in society, currently providing over 80 million fixed and mobile connections and rolling out the next generation of products and services, while readying our networks for 10 Gbps and beyond.

We're creating national champions, combining the best broadband and mobile networks under brands such as Virgin Media O2 in the UK, VodafoneZiggo in The Netherlands, Telenet in Belgium, Virgin Media in Ireland and UPC in Slovakia.

Liberty Global Ventures, our global investment arm, has a portfolio of more than 75 companies and funds across content, technology and infrastructure, including strategic stakes in ITV, Univision, Plume, Lionsgate and the Formula E racing series.

Our scale enables us to transfer knowledge and expertise across our operations and investments, creating a dynamic family of brands united in the pursuit of innovation and excellence.

And we're prioritising diversity, equity and inclusion in our workplace and communities, while reducing our impact on the environment. We are using technology as a force for good; for our people, our partners and the planet.


Twitter https://twitter.com/libertyglobal
Facebook https://www.facebook.com/libertyglobal
Youtube https://www.youtube/c/libertyglobaltv
Instagram https://www.instagram.com/libertyglobal

Listed Jobs

Company Name

Liberty Global

Job Title

Technology Industrial Placement

Job Description

**Job Title** Technology Industrial Placement **Role Summary** A 12‑month hands‑on placement focused on Technology and Cybersecurity operations. Candidates will gain experience across emerging technology domains, support projects, develop technical skills, and network with senior leaders in a multinational telecom environment. **Expectations** - Complete a full academic year of placement within a core emerging technology area. - Transition from academic learning to practical, project‑based work. - Demonstrate initiative, resilience, curiosity, and a growth mindset. - Build confidence and employable skills that support the final year of study and post‑graduation career. **Key Responsibilities** 1. Participate in day‑to‑day Technology and Cybersecurity functions. 2. Assist in the planning, execution, and monitoring of technology projects. 3. Conduct research, data analysis, and coding tasks to support operations and product development. 4. Present findings and project progress to cross‑functional teams. 5. Attend mentoring sessions, workshops, and knowledge‑sharing events with senior leaders. 6. Contribute to continuous improvement initiatives within the Tech and Cybersecurity teams. **Required Skills** - Fundamental knowledge of cybersecurity principles or relevant technical background. - Proficiency in programming or scripting (e.g., Python, SQL, Bash). - Experience with data analytics, data visualization, or statistical analysis. - Strong problem‑solving and analytical abilities. - Effective written and verbal communication skills. - Ability to work collaboratively in a fast‑moving, global environment. - Resilience, curiosity, and confidence to question and propose solutions. **Required Education & Certifications** - Current undergraduate student in the second year of a degree in Cybersecurity, Data Science, Computer Science, IT Engineering, or related field. - Placement to commence in summer 2025 and complete by summer 2027. - No mandatory certifications required; awareness of industry standards (e.g., ISO/IEC 27001, CISSP, CompTIA Security+) is an advantage.

London, United kingdom

On site

07-12-2025

Company Name

Liberty Global

Job Title

Data Scientist

Job Description

**Job Title** Data Scientist **Role Summary** Drive technology strategy and innovation by applying advanced data science, machine learning, and Gen‑AI techniques to support due diligence, market analysis, competitive intelligence, and strategic roadmap development. Build analytical models, AI‑native products, and automated insights to inform decision‑making across the organization. **Expectations** - Deliver actionable insights that influence senior leadership and technology investment decisions. - Build reproducible, production‑ready data pipelines and AI services in a cloud environment. - Communicate complex findings clearly to non‑technical stakeholders. - Continuously iterate models based on performance metrics and emerging AI capabilities. **Key Responsibilities** - Create and maintain analytical frameworks for technology strategy, AI initiatives, and performance benchmarking. - Build Gen‑AI native products and services to be deployed across the business. - Aggregate, correlate, and visualize technology performance metrics, market trends, and competitive intelligence. - Apply statistical and machine learning methods to analyze technology adoption, performance benchmarks, and strategic opportunities. - Define, monitor, and report KPIs for technology strategy, innovation programs, and strategic investments. - Develop benchmarking suites comparing internal technology performance against industry leaders. - Partner with technology and AI teams to prototype emerging AI/ML technologies (NLP, automated intelligence, predictive forecasting). - Automate technology due diligence, market intelligence, and opportunity identification using AI capabilities. **Required Skills** - Graduate degree in Data Science, Statistics, Computer Science, Engineering, or related quantitative field. - 3+ years of data science experience focused on building Data and AI products. - Advanced proficiency in Python, R, and SQL; expertise in statistical analysis, ML algorithms, and data visualization. - Full‑stack development experience and familiarity with cloud platforms (GCP preferred). - Proven experience building Gen‑AI native products and services. - Strong analytical and problem‑solving abilities; ability to translate complex data into actionable business recommendations. - Excellent written and oral communication skills for presenting to senior leadership and technical teams. **Required Education & Certifications** - Master’s or equivalent advanced degree in Data Science, Statistics, Computer Science, Engineering, or related field. ---

London, United kingdom

Hybrid

Junior

27-01-2026