AGM - Data Scientist

Vodafone Idea Limited; Pune District; On-site; INR 1,500,000 - 2,800,000; Full time

Job summary

Vodafone Idea Limited is seeking an experienced Data Scientist to develop AI/ML and GenAI solutions for telecom network analytics. You will work with large-scale data to deliver predictive insights, anomaly detection and intelligent automation, with end-to-end ownership from model development to deployment.

The role requires 5+ years in data science, strong Python/SQL, and hands-on ML/DL experience across scikit-learn, PyTorch, TensorFlow and MLOps.

Qualifications

• Bachelor's degree in computer science, data science, AI, statistics, engineering or related quantitative field.
• Master's degree or AI/ML certification is an advantage.
• 5+ years of experience in Data Science, AI/ML or Advanced Analytics.

Responsibilities

• Develop ML solutions for anomaly detection, forecasting, classification, clustering, NLP and predictive analytics.
• Apply AI/ML to telecom datasets including network KPIs, alarms, events, logs, configurations and service-performance data.
• Build GenAI/LLM applications, RAG pipelines, semantic search and Agentic AI workflows.
• Develop scalable batch and streaming data pipelines using Python, SQL, Spark, Kafka or similar technologies.
• Implement MLOps practices covering model versioning, CI/CD, deployment, monitoring, drift detection and retraining.
• Design production-ready AI services using APIs, microservices and containerized architectures.
• Apply Responsible AI, security, privacy, governance and AI guardrails.
• Collaborate with SNOC, Performance, Engineering and IT teams to translate operational problems into scalable AI solutions.

Skills

Python

SQL

Machine Learning

Scikit-learn

PyTorch

TensorFlow

GenAI/LLMs

MLOps

Spark

Kafka

Education

Bachelor's in CS/DS/AI

Master's or AI certification

Tools

LangGraph

LlamaIndex

AutoGen

CrewAI

MLflow

Kubeflow

Azure ML

Job description

Job Purpose

We are looking for an experienced, hands-on Data Scientist to develop and produce AI/ML, Generative AI and Agentic AI solutions for telecom network and performance analytics.

The role will work with large-scale network and operational data to deliver predictive insights, anomaly detection, forecasting, root-cause analysis and intelligent automation, with end-to-end ownership from model development to production deployment and monitoring.

Key Responsibilities

• Develop ML solutions for anomaly detection, forecasting, classification, clustering, NLP and predictive analytics.
• Apply AI/ML to telecom datasets including network KPIs, alarms, events, logs, configurations and service-performance data.
• Build GenAI/LLM applications, RAG pipelines, semantic search and Agentic AI workflows.
• Develop scalable batch and streaming data pipelines using Python, SQL, Spark, Kafka or similar technologies.
• Implement MLOps practices covering model versioning, CI/CD, deployment, monitoring, drift detection and retraining.
• Design production-ready AI services using APIs, microservices and containerized architectures.
• Apply Responsible AI, security, privacy, governance and AI guardrails.
• Collaborate with SNOC, Performance, Engineering and IT teams to translate operational problems into scalable AI solutions.

Required Skills & Experience

• 5+ years of experience in Data Science, AI/ML or Advanced Analytics.
• Strong hands-on expertise in Python, SQL and Machine Learning.
• Experience with scikit-learn, PyTorch, TensorFlow or equivalent.
• Hands‑on experience with GenAI, LLMs, RAG, Embeddings, Vector Databases, Classical ML and Deep Learning.
• Exposure to Agentic AI frameworks such as LangGraph, LlamaIndex, AutoGen or CrewAI.
• Experience with MLOps platforms such as MLflow, Kubeflow, Azure ML, SageMaker or equivalent.
• Experience handling high-volume data using Spark, Kafka, Databricks or similar platforms.
• Strong analytical, problem-solving and stakeholder communication skills.

Preferred Qualifications:

• Experience in telecom/network performance analytics.
• Knowledge of network anomaly detection, outage prediction, RCA, forecasting and network optimization.
• Experience with Azure/AWS/GCP, Docker, Kubernetes and microservices.
• Understanding of Responsible AI and AI governance

Education

Bachelors degree in computer science, Data Science, AI, Statistics, Engineering or a related quantitative discipline. Master's degree or relevant AI/ML certification is an advantage.