Data science jobs in Media and Telecommunications industry

Data Science in Media and Telecommunications

Media and telecoms companies combine content analytics with network data to drive personalisation, churn prevention, content investment decisions, and subscriber acquisition targeting.

Common roles

Content recommendation ML engineers, subscriber analytics data scientists, churn modellers, and data platform engineers building unified media data lakes are in demand across broadcasters, streaming platforms, and telecoms operators.

Key skills

Python, SQL, Spark, collaborative filtering and deep learning for recommendations, time-series modelling, and experience with streaming media analytics platforms are core to this sector.