Data Scientist

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.
• Strong 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 strong advantage.
• Experience in NBFC, Lending, BFSI, or Fintech is strongly preferred.
• Strong 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.