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Salary
≈ $34k – $78k per year (Estimated)
Location
Remote (India)
Seniority
Staff · 10+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 4, 2026. First seen by Alion on Sep 10, 2026. Capgemini scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Capgemini is a French information technology services and consulting group founded in Grenoble in 1967 by Serge Kampf, and one of the largest IT service providers in the world. It designs, builds and runs systems for large enterprises and governments across some fifty countries, with a delivery workforce concentrated in India and a European client base heavier than most of its competitors. The group is organised into Capgemini Invent for strategy and design, Capgemini Engineering for research and development services acquired with Altran, and Sogeti for local technology services, and it has reoriented its portfolio around cloud migration, data platforms and generative AI.

Job Description

AI / Data Scientist

Choosing Capgemini means choosing a place where you’ll be empowered to shape your career, supported by a collaborative global community, and inspired to reimagine what’s possible. Join us in helping leading Consumer Products and Retail Services (CPRS) organizations unlock the value of technology and drive scalable, sustainable growth.

Your Role:

  • Required experience range between 10-17 years.
  • Analyze telecom network data across RAN, Core, IP, Transport, SD-WAN, Cloud, OSS, and service domains.
  • Develop KPI models for performance, quality, faults, customer impact, capacity, and resilience.
  • Build ML models for anomaly detection, fault prediction, root-cause analysis, and proactive assurance.
  • Create data pipelines for aggregation, cleansing, enrichment, and feature engineering.
  • Support digital twin and graph analytics for topology, dependencies, service impact, and fault propagation.
  • Develop network data quality, correlation, and entity resolution frameworks.
  • Enable AIOps use cases such as alarm reduction, incident prioritization, predictive maintenance, and RCA.
  • Collaborate with AI/LLM teams to provide datasets, features, embeddings, and metadata for RAG and AI agents.
  • Align network data models with TMF SID/Open API standards.

Required Technical Skills

  • Python, Statistics, Machine Learning
  • KPI & Feature Engineering
  • Network Performance Analytics (RAN, Core, IP, SD-WAN, Transport)
  • Fault Analysis, Correlation & Anomaly Detection
  • AIOps & Predictive Analytics
  • Data Pipelines & Quality Management
  • TMF SID/Open APIs
  • Graph Analytics & Digital Twin Analytics
  • BigQuery or equivalent platforms
  • LLMs, RAG, and AI Agents

You’ll Love About Working Here

  • We value flexibility and support our employees with remote work options and adaptable schedules to maintain a healthy work-life balance.
  • Our inclusive culture brings together diverse professionals committed to growth, innovation, and excellence.
  • You’ll have access to continuous learning opportunities and certifications in emerging technologies like cloud and AI.

About Us

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.

Capgemini is a global business and technology transformation partner, helping organizations accelerate their dual transformation to address the evolving needs of customers and citizens. With a strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs-from strategy and design to operations.

To achieve this, Capgemini draws on the capabilities of its 360,000 team members in more than 50 countries, all driven by the purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization with market-leading capabilities in digital, cloud, and data.

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