Senior Data Scientist

SourcingXPress; Gurugram District; On-site; INR 2,000,000 - 4,000,000; Full time

Job summary

A leading technology company in Gurugram is seeking a Senior Data Scientist to develop and deploy AI solutions, particularly in machine learning and Generative AI. The ideal candidate will have over 6 years of experience and a strong proficiency in Python, along with a solid foundation in statistics and machine learning. This is an exciting opportunity to work at the intersection of data science and technology and to contribute to innovative business solutions.

Qualifications

• 6+ years of professional experience in data science or applied machine learning roles.
• Demonstrated experience delivering regression and/or classification models.
• Hands-on experience building and deploying LLM-based or Generative AI applications.

Responsibilities

• Develop and deploy AI solutions for ML and Generative AI use cases.
• Design, build, validate, and optimize predictive models.
• Collaborate with cross-functional teams to communicate findings.

Skills

Strong proficiency in Python

Statistical analysis

Regression

Classification

Experience with LLMs

Deployment experience with MLOps

Cross-functional communication

Education

Bachelor’s or Master’s degree in Computer Science

Tools

Python

MLflow

AWS

Azure

GCP

Databricks

Job description

Position Summary

NPS Prism has experienced tremendous growth as a standalone software and data business over the past few years and is making the leap from being a consulting‑led business to a technology‑led business. Given that shift, we are looking to build our team with world‑class team members to help drive business growth to its full potential in this next phase. This is a great opportunity to help build the largest startup owned by Bain & Company and take NPS Prism into the future.

Company: NPS Prism Asia Private Limited
Website: Visit Website
Business Type: Enterprise
Company Type: Product
Business Model: B2B
Funding Stage: Bootstrapped
Industry: SAAS in CX Loyalty
Salary Range: ₹ 20-40 Lacs PA

Job Description

We are seeking a Senior Data Scientist with experience in both classical machine learning (regression, classification, predictive modeling) and modern AI systems (LLMs, Generative AI and agentic frameworks). The role requires strong applied modeling skills across structured and unstructured data, and experience deploying models into production environments. This position involves end‑to‑end ownership of data science initiatives, from problem framing and experimentation to deployment and monitoring.

Key Responsibilities

• Develop and deploy AI solutions across ML and other genAI use cases.
• Design, build, validate and optimize predictive models including regression, tree‑based models, ensemble methods, gradient boosting and deep learning architectures where appropriate.
• Develop and deploy LLM‑based and Generative AI solutions, including retrieval‑augmented generation (RAG), prompt engineering, fine‑tuning and agentic workflows.
• Build multi‑agent systems and tool‑integrated AI solutions for analytics automation, insight generation and conversational interfaces.
• Apply statistical analysis, hypothesis testing and experimental design (including A/B testing) to inform business decisions.
• Collaborate with cross‑functional teams.
• Ensure production readiness through monitoring, model governance, performance tracking, retraining strategies and documentation.
• Analyze structured and unstructured datasets to generate actionable insights.
• Communicate analytical findings and technical concepts clearly to cross‑functional stakeholders.
• Contribute to code reviews, best practices and continuous improvement of AI infrastructures.
• Independently manage projects in environments with evolving requirements and timelines.

Qualifications

Education

• Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field.

Experience

• 6+ years of professional experience in data science or applied machine learning roles.
• Demonstrated experience delivering regression and/or classification models in production environments.
• Hands‑on experience building and deploying LLM‑based or Generative AI applications.
• Hands‑on experience with agentic frameworks such as CrewAI, LangChain Agents, LangGraph or similar multi‑agent orchestration frameworks.

Skills

• Strong proficiency in Python.
• Solid foundation in statistics, regression, classification and other classical ML techniques.
• Hands‑on experience with LLMs and Generative AI, including prompt engineering, RAG, fine‑tuning and evaluation.
• Experience building multi‑agent systems using frameworks such as CrewAI, LangChain/LangGraph or similar.
• Familiarity with vector databases and embedding pipelines.
• Experience deploying ML/LLM solutions in production with MLOps practices (e.g., MLflow, CI/CD) on cloud platforms (AWS/Azure/GCP/Databricks).
• Strong problem‑solving and cross‑functional communication skills.