Data Analyst / Data Scientist
Role details
Job location
Tech stack
Job description
Analyze large and complex datasets to generate business and operational insights. Build, validate, and optimize predictive and machine learning models. Develop data pipelines, perform data wrangling, cleansing, and exploratory analysis using Python. Work on AI/ML use cases involving Generative AI, Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), and LangChain. Create dashboards, reports, and data-driven recommendations for stakeholders. Collaborate with cross-functional teams to design and implement scalable data science solutions. Support model deployment, performance monitoring, and continuous improvement initiatives.
Requirements
Strong experience in Data Science and Data Analytics Proficiency in Python (Pandas, NumPy, Scikit-learn, etc.) Hands-on experience with AI/ML, including RAG, LLMs, LangChain, or related GenAI frameworks Experience with statistical analysis, predictive modeling, and data visualization Ability to work independently and in a collaborative environment