Python/Gen AI Business Analytics

Expertise Required: The Business Analytics Intmd Analyst is a developing professional role. Deals with most problems independently and has some latitude to solve complex problems. Integrates in-depth specialty area knowledge with a solid understanding of industry standards and practices. Good understanding of how the team and area integrate with others in accomplishing the objectives of the sub function/ job family. Applies analytical thinking and knowledge of data analysis tools and methodologies. Requires attention to detail when making judgments and recommendations based on the analysis of factual information. Typically deals with variable issues with potentially broader business impact. Applies professional judgment when interpreting data and results. Breaks down information in a systematic and communicable manner. Developed communication and diplomacy skills are required in order to exchange potentially complex/sensitive information. Moderate but direct impact through close contact with the businesses' core activities. Quality and timeliness of service provided will affect the effectiveness of own team and other closely related teams. Requirement- modeling, Traditional and Machine Learning Algorithms preferred experience in architecting and developing production-ready Gen AI RAG or Agent-based solutions.Mastery of Python, an experience in AI/ML frameworks (PyTorch, TensorFlow, LangChain), MLOps, , handling multi agent framework.Understanding of Agentic solution design, including architecture selection, memory management, hallucination control, and reinforcement learning feedback loopsAnalytical Skills Basic StatisticsHypothesis testingProficient in Formulating Analytical methodology, identifying trends and patterns with dataAbility to handle complex data and generate meaningful business insights(Preferred) - Knowledge of Segmentation, Basic Knowledge of predictive Domain Skills In depth understanding of Customer Lifecycle Management Acquisitions Customer engagement (Pricing, P&L forecasting) Customer servicing & understanding customer touch points Customer retention (Preferred) - Knowledge of Credit Card PnL, Understanding or Retail Business Educational and Experience (Preferred) Post Graduate in Computer Science, Mathematics, Operations Research, Statistics, Econometrics, Management Science and related fields 5 to 8 years of hands on experience in delivering Analytical solutions Expertise Required: The Business Analytics Intmd Analyst is a developing professional role. Deals with most problems independently and has some latitude to solve complex problems. Integrates in-depth specialty area knowledge with a solid understanding of industry standards and practices. Good understanding of how the team and area integrate with others in accomplishing the objectives of the sub function/ job family. Applies analytical thinking and knowledge of data analysis tools and methodologies. Requires attention to detail when making judgments and recommendations based on the analysis of factual information. Typically deals with variable issues with potentially broader business impact. Applies professional judgment when interpreting data and results. Breaks down information in a systematic and communicable manner. Developed communication and diplomacy skills are required in order to exchange potentially complex/sensitive information. Moderate but direct impact through close contact with the businesses' core activities. Quality and timeliness of service provided will affect the effectiveness of own team and other closely related teams. Requirement- modeling, Traditional and Machine Learning Algorithms preferred experience in architecting and developing production-ready Gen AI RAG or Agent-based solutions.Mastery of Python, an experience in AI/ML frameworks (PyTorch, TensorFlow, LangChain), MLOps, , handling multi agent framework.Understanding of Agentic solution design, including architecture selection, memory management, hallucination control, and reinforcement learning feedback loopsAnalytical Skills Basic StatisticsHypothesis testingProficient in Formulating Analytical methodology, identifying trends and patterns with dataAbility to handle complex data and generate meaningful business insights(Preferred) - Knowledge of Segmentation, Basic Knowledge of predictive Domain Skills In depth understanding of Customer Lifecycle Management Acquisitions Customer engagement (Pricing, P&L forecasting) Customer servicing & understanding customer touch points Customer retention (Preferred) - Knowledge of Credit Card PnL, Understanding or Retail Business Educational and Experience (Preferred) Post Graduate in Computer Science, Mathematics, Operations Research, Statistics, Econometrics, Management Science and related fields 5 to 8 years of hands on experience in delivering Analytical solutions