Key Responsibilities
Build and optimize predictive and machine learning models for customer behavior, conversion, credit/risk assessment, collections, and repayment use cases.
Develop robust features, datasets, and modeling frameworks for ML and AI applications.
Drive feature engineering, model development, validation, experimentation, and optimization.
Explore and implement relevant AI and Generative AI solutions, including LLM-based applications.
Collaborate with Product and Engineering teams to take models from prototype to production.
Proactively identify, evaluate, and drive 01 AI/ML use cases with measurable business impact.
Monitor and improve model performance, accuracy, and scalability in production environments.

Requirements
2+ years of hands-on experience in Data Science, Machine Learning, AI,



or related fields.
Strong proficiency in Python and Advanced SQL.
Robust understanding of machine learning, statistics, predictive modeling, and feature engineering.
Hands-on experience with ML frameworks such as Scikit-learn, XGBoost, PyTorch, or TensorFlow.
Exposure to Generative AI, LLMs, NLP, embeddings, or RAG is a robust advantage.
Experience in NBFC, Lending, BFSI, or Fintech is strongly preferred.
Solid ownership, problem-solving skills, and an initiator/builder mindset.
Ability to work cross-functionally and translate business problems into scalable data-driven and ML solutions.

📌 Data Scientist New Delhi
🏢 Nxtwave Disruptive Technologies (Hiring for a client)
📍 New Delhi