Data Scientist

Virtusa; Bengaluru Urban; On-site; INR 4,000,000 - 8,000,000; Full time

Job summary

Virtusa in Bengaluru seeks a Technical Product Lead – Data Scientist to build an AI-powered analytics platform focusing on location intelligence, geospatial AI, and advanced data science capabilities. This hands‑on senior role blends deep technical expertise with a product mindset to develop production‑grade ML models, AI agents, geospatial frameworks, and data pipelines for data-driven decisions at scale.

The role collaborates with engineering, product, and design teams to deliver scalable AI

Qualifications

• 10+ years of hands-on Data Science experience.
• Minimum 2 years of experience with Geospatial Data, Location Intelligence, or Spatial Analytics.
• Strong proficiency in Python.
• Experience with Pandas, NumPy, Scikit-learn, and SQL.
• Hands-on experience with GeoPandas, Shapely, PostGIS, Folium, or similar geospatial technologies.
• Experience building and deploying AI Agents and Large Language Model (LLM) solutions.
• Strong expertise in Retrieval-Augmented Generation (RAG), Agent Orchestration, and AI output evaluation.

Responsibilities

• Design and develop geospatial models for location scoring, market positioning, demographic analysis, and spatial intelligence.
• Build AI-powered location intelligence capabilities to provide real‑time market insights and portfolio recommendations.
• Develop and maintain scalable geospatial data pipelines for property data, demographic information, transportation networks, and ESG indicators.
• Implement map-based features including property visualization, clustering, search, filtering, and spatial data overlays.
• Evaluate, onboard, and manage third‑party geospatial and market data sources.
• Design, train, validate, and deploy machine learning models supporting cost optimization, sustainability, talent accessibility, market insights.

Skills

Data Science

Geospatial Data

Python

Pandas

NumPy

Scikit-learn

SQL

GeoPandas

Shapely

PostGIS

Folium

LLM / AI Agents

RAG

Agent Orchestration

Tools

GeoPandas

Shapely

PostGIS

Folium

Job description

Job Summary

We are seeking a Technical Product Lead – Data Scientist to build and lead an AI-powered analytics platform focused on location intelligence, geospatial AI, and advanced data science capabilities. This hands‑on senior role combines deep technical expertise with a product mindset to develop production‑grade machine learning models, AI agents, geospatial frameworks, and data pipelines that enable data‑driven decision‑making at scale. The role collaborates closely with engineering, product, and design teams to deliver scalable AI solutions for portfolio analysis, site selection, market intelligence, cost modeling, and sustainability scoring.

Job Summary

We are seeking a Technical Product Lead – Data Scientist to build and lead an AI-powered analytics platform focused on location intelligence, geospatial AI, and advanced data science capabilities. This hands‑on senior role combines deep technical expertise with a product mindset to develop production‑grade machine learning models, AI agents, geospatial frameworks, and data pipelines that enable data‑driven decision‑making at scale. The role collaborates closely with engineering, product, and design teams to deliver scalable AI solutions for portfolio analysis, site selection, market intelligence, cost modeling, and sustainability scoring.

Key Responsibilities

• Design and develop geospatial models for location scoring, market positioning, demographic analysis, and spatial intelligence.
• Build AI-powered location intelligence capabilities to provide real‑time market insights and portfolio recommendations.
• Develop and maintain scalable geospatial data pipelines for property data, demographic information, transportation networks, and ESG indicators.
• Implement map-based features including property visualization, clustering, search, filtering, and spatial data overlays.
• Evaluate, onboard, and manage third‑party geospatial and market data sources.
• Design, train, validate, and deploy machine learning models supporting cost optimization, sustainability, talent accessibility, market

Required Skills

• 10+ years of hands‑on Data Science experience.
• Minimum 2 years of experience with Geospatial Data, Location Intelligence, or Spatial Analytics.
• Strong proficiency in Python.
• Experience with Pandas, NumPy, Scikit‑learn, and SQL.
• Hands‑on experience with GeoPandas, Shapely, PostGIS, Folium, or similar geospatial technologies.
• Experience building and deploying AI Agents and Large Language Model (LLM) solutions.
• Strong expertise in Retrieval‑Augmented Generation (RAG), Agent Orchestration, and AI output evaluation.