Lead - Data Scientist (Tech & Digital)

Job Purpose

• To transform raw data into valuable insights for organizational growth and competition.
• Interpret and analyze data from multiple sources to devise innovative solutions.
• Build AI models and applications to solve complex banking business problems.

Job Responsibilities

• Product Development, focusing on Machine Learning Engineer tasks.
• Build, train, and deploy ML models for inferencing, creating surrounding APIs for cloud and on-prem access.
• Develop ML-based applications for the bank using various ML techniques.
• Build and deploy ML applications in the cloud utilizing NLP, LLMs, and supervised learning.
• Understand the bank's data domain for EDA and MI reports, designing and developing ML applications.
• Leverage data to impact the economic ecosystem of the bank and Indian financial space.

Educational Qualifications

• Bachelor’s degree in Computer Science, Engineering, Data Science, Machine Learning, or relevant field.
• Graduate degree in Data Science or another quantitative field is preferred.

Key Skills

• Strong knowledge of Python and cloud-based deployments.
• Expertise in EDA, NLP, Topic Modeling, NER, Embedding models, and Semantic Search techniques.
• Working knowledge of LLMs via APIs (e.g., Open AI) and deploying open-source LLMs (e.g., LLAMA2, FLAN T5).
• Proficiency in Lang Chain framework and Fast API of Python.
• Working experience with Cloud (preferably Azure); understanding of MLOps frameworks is a plus.
• Knowledge of Classification, Q&A networks using BERT.
• Strong knowledge of TensorFlow and PyTorch frameworks.
• Experience with business intelligence tools (e.g., Tableau) and data frameworks (e.g., Hadoop) is a plus.
• Understanding of machine-learning and operations research.
• Analytical mind, business acumen, problem-solving ability.
• Excellent communication and presentation skills.

Experience Required

• 11+ years of proven experience as a Data Scientist or Data Analyst.