Data Scientist   REQUIREMENT: • Professional experience of 3-5 years in business analysis, requirement gathering, solution workflow design for AI/ML/Analytics project • Experience in programming skills in Python and SQL • Strong understanding of ML libraries and applications e.g., Time series analysis, Neural Net, SVMs, boosting methods and implementation using Python • Experience in Deep learning techniques • Excellent Communication skills to effectively collaborate with business SMEs, UX team • Intermediate knowledge with Dev Ops practices, including CICD, Automation, Build Management, and Versioning • Understanding of Cloud services, including Microsoft Azure, GCP or Amazon Web Service • Experience in LLM/Gen AI Prompt Engineering, RAG and parameter hypertuning • Experience in Pyspark will be an added advantage RESPONSIBILITIES: • Excellent problem solving, Critical and Analytical thinking skills and hands on coding skills • Proficient in Data fetch, data merge, data wrangling, exploratory data analysis and feature engineering • Python, SQL Skills with working knowledge of machine learning algorithms • Drive client engagement fully and align the development team towards a technical roadmap • Implements analytical requirements by defining and analyzing system problems, designing and testing standards and solutions • Develops solution by preparing and evaluating alternative workflow solutions • Determines operational objectives by studying business functions; gathering information; evaluating output requirements and formats • Designs new analytical solutions by analyzing requirements; constructing workflow charts and diagrams; studying system capabilities; writing specifications • Improves systems by studying current practices, designing modifications • Recommends controls by identifying problems, writing improved procedures • Defines project requirements by identifying project milestones, phases, and elements; forming project team; establishing project budget • Monitors project progress by tracking activity; resolving problems; publishing progress reports; recommending actions • Maintains system protocols by writing and updating procedures • Provides references for users by writing and maintaining user documentation; providing help desk support; training users • Maintains user confidence and protects operations by keeping information confidential • Prepares technical reports by collecting, analyzing, and summarizing information and trends • Maintains professional and technical knowledge by attending educational workshops; reviewing professional publications; establishing personal networks; benchmarking state-of-the-art practices; participating in professional societies