AI/Data Scientist, Capgemini

Data Scientist
India, Bangalore
October 7, 2026
Full Time

Apply for this job

Email *
Executive Name *

Job Description

Capgemini is hiring an AI/data scientist to analyze telecom network data and develop machine learning solutions. The role involves KPI modelling, anomaly detection, fault prediction, data pipelines, AIOps, graph analytics, and digital twins. The position also supports LLM, RAG, AI agents, network data quality, and TMF SID/Open API standards. 

Qualification: Bachelor’s degree or equivalent background in computer science

Experience: 10–17 years

Apply: Click Here

Responsibilities

  • Perform analysis of telecom network data in RAN, Core, IP, Transport, SD-WAN, Cloud, and OSS networks.
  • Develop KPI models that will have an emphasis on performance, quality, fault, customer impact, capacity, and resilience.
  • Develop machine learning models for anomaly detection, fault prediction, root cause analysis, and proactive assurance.
  • Implement data pipelines to support data aggregation, data cleansing, data enrichment, correlation, and feature engineering.
  • Support AIOps scenarios, including alarm reduction, incident prioritisation, predictive maintenance, and root cause analysis.

Requirements

  • 10 – 17 years of relevant experience in data science, telecommunication analytics, machine learning or any related technology field.
  • Highly proficient in Python, statistics, machine learning, KPI and feature engineering methodologies.
  • Proficient with network performance analytics in RAN, CORE, IP, SD-WAN, Transport and Cloud domains.
  • Expertise in fault analytics, correlations, anomaly detections, AIOps, predictive analytics, and data quality management.
  • Experience in working on data pipelines, BigQuery or any other equivalent platform, TMF SID & Open APIs.

Preferred Qualifications

  • Experience in graph analytics, digital twin analytics, network topology, dependencies, impact analysis, and fault propagation.
  • Experience in LLMs, RAG, AI agents, embeddings, datasets, metadata, and intelligent automation solutions.
  • Knowledge about data quality for networks, entity resolution, correlation methodologies, and enterprise data management.
  • Familiarity with telecom use cases utilising AI, predictive maintenance, assurance and optimisation, etc.
  • Excellent skills in collaboration and communication with multidisciplinary teams of engineers and technologists.

Related Jobs