AI/Data Scientist II

Job not on LinkedIn

🔥 17 hours ago

🇮🇳 India – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Capgemini

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1967

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Capgemini is a global leader in partnering with businesses to transform and manage their operations by harnessing the power of technology. With expertise across a wide array of industries such as aerospace, automotive, banking, and healthcare, Capgemini provides a constantly evolving portfolio of services to meet the ever-changing needs of their clients. Their offerings include cloud, cybersecurity, data and artificial intelligence, and enterprise management, among others. Capgemini also emphasizes innovation and sustainability, helping companies achieve digital transformation while promoting environmental and social responsibility. Additionally, Capgemini provides career opportunities across various levels and professions, encouraging innovation and diversity in its workforce.

📋 Description

• 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 machine-learning 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 including alarm reduction, incident prioritization, predictive maintenance, and root-cause analysis • 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

🎯 Requirements

• 6–12 years of experience • Immediate to 0–60 days’ notice period • Proficiency in Python, statistics, and machine learning • KPI and feature engineering • Network performance analytics across RAN, Core, IP, SD-WAN, and Transport • Fault analysis, correlation, and anomaly detection • AIOps and predictive analytics • Data pipelines and quality management • TMF SID/Open APIs • Graph analytics and digital twin analytics • BigQuery or equivalent platforms • LLMs, RAG, and AI agents

🏖️ Benefits

• Remote work options • Adaptable schedules • Inclusive culture • Continuous learning opportunities • Certifications in emerging technologies such as cloud and AI