Lead I - Data Science

Role Description ROLE: Mid-Level Data Scientist Requirement Professional experience of 5-7 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 analysing 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 analysing 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, analysing, 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 Skills Machine Learning,Generative AI,Xpresso,Nlp