Data Scientist II - Remote

4w1 month ago

NPS Prism

Gurugram, IN · Full-time · INR 1,800,000 – INR 2,400,000

About this role

NPS Prism is a market-leading, cloud-based SaaS business owned by Bain & Company. We are seeking a Data Scientist II with experience in both classical machine learning and modern AI systems. This role involves end-to-end ownership of data science initiatives, from problem framing to deployment and monitoring.

Develop and deploy AI solutions across ML and genAI use cases. You will design, build, validate and optimize predictive models including regression, tree-based models, ensemble methods, gradient boosting and deep learning. Additionally, develop LLM-based solutions such as RAG, prompt engineering, fine-tuning and agentic workflows.

NPS Prism has rapidly grown to a team of over 200, serving dozens of clients worldwide. The company is transitioning from a consulting-led business to a technology-led business. You will collaborate with cross-functional teams to help drive business growth to its full potential.

This is a great opportunity to help build the largest startup owned by Bain & Company and take NPS Prism into the future. You will ensure production readiness through monitoring, model governance, performance tracking, retraining strategies and documentation.

Requirements

Experience in classical machine learning techniques (regression, classification, predictive modeling).
Experience with modern AI systems including LLMs, Generative AI, and agentic frameworks.
Strong applied modeling skills across structured and unstructured data.
Experience deploying models into production environments.
Proficiency in building and deploying RAG, prompt engineering, fine-tuning, and agentic workflows.
Expertise in statistical analysis, hypothesis testing, and experimental design (including A/B testing).
Ability to collaborate with cross-functional teams.

Responsibilities

Develop and deploy AI solutions across machine learning and generative AI use cases.
Design, build, validate, and optimize predictive models including regression, tree-based models, ensemble methods, gradient boosting, and deep learning architectures.
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 to drive business growth.
Ensure production readiness through monitoring, model governance, performance tracking, retraining strategies, and documentation.

Benefits

Work from home flexibility
Opportunity to be part of a startup backed by a top management consulting firm, Bain & Company
Collaborative and inclusive work environment
Focus on professional growth and becoming the best version of yourself