AGM - Data Scientist
At a glance
Mid-level Data Science role at Vodafone Idea. Pune.
Pay not stated Data Science salary
dataroles summary, based on the employer's posting.
What you'll do
- Build models for network anomaly detection, forecasting, classification, clustering, language tasks and predictive analysis
- Use network KPIs, alarms, logs and service data to surface operational insights and performance issues
- Create LLM applications, retrieval pipelines, semantic search and agent-based AI workflows
- Develop batch and streaming data flows, then deploy and monitor models with MLOps practices
- Turn operational challenges into production AI services with SNOC, performance, engineering and IT teams
What you bring
- At least seven years working in data science, AI/ML or advanced analytics
- Strong practical skills in Python, SQL and machine learning, plus experience with a listed ML framework or equivalent
- Hands-on work with GenAI, LLMs, retrieval-augmented generation, embeddings and vector databases
- A bachelor’s degree in computer science, data science, AI or another related quantitative discipline
Who this fits
This role suits a hands-on data scientist who can take AI solutions from development through production monitoring. You’ll work on telecom network and performance analytics in Pune, collaborating with SNOC, performance, engineering and IT teams.
From the employer
Role
AGM - Data Scientist
Job Level/ Designation
M2/AGM
Function / Department
SNOC/Performance Analytics (S&PM)
Location
Pune
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
- 7+ 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
Bachelor’s 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.
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