Private Sector · Subsector
Telecom & Media
The telecom and media sector covers companies that provide communications networks and content. Telecom companies build and operate the infrastructure that carries phone calls, internet traffic, and data. Media companies produce and distribute content, from news and entertainment to advertising. Both types of company generate large amounts of data and use it extensively.
In this sector you might model customer churn for a telecom provider, analyse viewing behaviour to inform content decisions, or build a pricing model for advertising inventory.
Telecom companies serve millions of customers and manage complex technical infrastructure. They need to forecast network demand, detect fraud, price their services competitively, and retain customers. Media companies need to understand audiences, optimise content distribution, and price advertising. Both rely heavily on data to make these decisions.
The daily work involves working with customer data, usage data, and network or content performance data. Common tasks include churn modelling, pricing analysis, fraud detection, and audience segmentation. A/B testing is widely used in both telecoms and media to test product or content changes.
The main tools are Python and SQL, with BI tools for reporting and dashboards. Statistical modelling and machine learning are both commonly used. In media, familiarity with advertising technology and audience measurement is useful.
The work environment varies by company type. Large telecom operators tend to be structured and process-driven. Media and streaming companies tend to move faster and iterate more frequently. The sector connects to Digital Services & Platforms and to roles like Data Scientist, Data Analyst, and Market Researcher.
Companies
A selection of organisations active in this sector where econometrics graduates typically find roles.
No companies found for the Telecom & Media.