Data science jobs in Telecommunications industry

Data Science in Telecommunications

Telecoms companies manage vast networks generating continuous streams of data. Data science is applied to network anomaly detection, customer churn prediction, dynamic pricing, spectrum optimisation, and 5G network planning.

Common roles

Network data scientists, churn prediction modellers, customer analytics leads, and data engineers building real-time event pipelines from network telemetry are common roles across mobile and fixed-line operators.

Key skills

Python, SQL, Spark, Kafka, time-series analysis, graph analytics for network topology, and experience with telecom data formats (CDRs, IPDR) are core to this sector.