Data Scientist
Tata Consultancy Services · Bengaluru, Karnataka, India
Tailor my CV for this job — freeGreetings from TCS!
What we can offer you is a space to explore varied technologies and quench your techie soul.RequiredCore Programming & ToolsHands-on experience building and deploying ML models on large-scale production datasetsStrong programming proficiency in Python with production-quality, well-structured codeProficient in SQL; experience working with large-volume datasets in Spark and/or SnowflakeExperience with Git for version control, code review, and collaborationFamiliarity with experiment tracking and model versioning (e.g., MLflow)Classical ML & Statistical ModelingTime series forecasting (ARIMA, Prophet, deep learning approaches)Optimization modeling (linear programming, mixed-integer programming)Classification, regression, clustering, and ensemble methodsFeature engineering, data wrangling, and statistical analysis on structured dataLLM Application & AI Agent DevelopmentAI Agent development: experience building agentic frameworks using Azure AI Studio and Azure model endpoints, including tool-use patterns and multi-step orchestrationRAG pipeline development: document ingestion/chunking, vector embedding/indexing (Azure AI Search), and response generation using LLM endpointsPrompt engineering and chain-of-thought design for complex supply chain workflowsExperience with orchestration frameworks like LangChain or LlamaIndexAzure & Production DeliveryFamiliar with core Azure resources: Azure Machine Learning, Azure AI Studio, Azure OpenAI Service, and Azure storage/computeExperience delivering production-ready models with proper testing, validation, and monitoringBasic UI skills (Streamlit or Gradio) for quick prototyping and demosWork StyleHighly self-motivated, collaborative, and able to deliver in a fast-paced environmentAble to start contributing within 1-2 weeks with minimal ramp-upNice to HaveSupply chain domain experience (demand forecasting, inventory optimization, logistics, etc.)Familiarity with ERP data structures (Oracle, SAP)