AI/Data Scientist II 6 to 12 years II Pan india
Capgemini (company site, opens in a new tab)6–12 yrsBengaluruOn-siteDirect career pageEst. 18–35 LPA
Posted on 10 Sept
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Job description
Structured overview of role & requirements
About This Role
- Analyze telecom network data across multiple domains including RAN, Core, IP, Transport, and Cloud to develop KPI and ML models for performance, fault prediction, and anomaly detection.
- Build and maintain data pipelines for feature engineering and support advanced analytics such as digital twin, graph analytics, and AIOps use cases including alarm reduction and predictive maintenance.
- Collaborate with AI/LLM teams to provide datasets and align network data models with industry standards (TMF SID/Open API) to enable AI agents and RAG applications.
Minimum Requirements
- 6 to 12 years of relevant work experience in AI/Data Science related to telecom network analytics.
- Proficiency in Python, Statistics, Machine Learning, KPI & Feature Engineering, Network Performance Analytics, Fault Analysis, and AIOps techniques.
- Experience with data pipeline development and quality management, Graph Analytics, Digital Twin analytics, TMF SID/Open APIs, and platforms like BigQuery or equivalents.
- Notice Period: Immediate to 60 days; Location: PAN India.
Ideal Candidate Profile
- Experienced in telecom network domains including RAN, Core, IP, SD-WAN, and Transport with hands-on analytics and ML modeling for network performance and fault management.
- Skilled in integrating AI/LLM technologies with network data and familiar with industry data modeling standards to support AI-driven operations.
- Capable of designing scalable data pipelines and advanced analytics frameworks like digital twin and graph analytics to drive proactive network assurance and AIOps solutions.