Senior Data Scientist

Overview

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

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.

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.
  
  

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

• 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.
  
  

• 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.