Data Scientist

Job DescriptionMust Have Technical/Functional SkillsStrong Python and Machine Learning skillsetProficient in Python, scikit-learn, TensorFlow, PyTorch, HuggingFace.Strong BFSI domain knowledge.Experience with NLP, LLMs (GPT), and deep learning.Hands-on with MLOps pipelines and tools.Experience with graph analytics tools (Neo4j, TigerGraph, NetworkX).Roles & ResponsibilitiesArchitect and drive the design, development, and deployment of scalable ML/AI solutions.Lead data science teams through complete project lifecycles – from ideation to production.Define standards, best practices, and governance for AI/ML solutioning and model management.Collaborate with data engineering, MLOps, product, and business teams.Oversee integration of data science models into production systems.Evaluate and recommend ML tools, frameworks, and cloud-native solutions.Guide feature engineering, data strategy, and feature store design.Promote innovation with generative AI, reinforcement learning, and graph-based learning.Knowledge of Spark, PySpark, Scala.Experience leading CoEs or data science accelerators.Open-source contributions or published research.