Large Indian Business House in Electrical & Electronics

Role Overview: You will be responsible for contributing to the design, execution, and continuous improvement of the AI and Data Science strategy. Additionally, you will help build and nurture a data-driven culture and a strong analytics practice within the organization. Key Responsibilities: - Work with large datasets across sales, consumer, manufacturing, and user attributes. - Identify opportunities to enrich both structured and unstructured data to improve analytical outcomes. - Collaborate with Data Engineering teams to build, enhance, and maintain cloud-based Data Lakes/Warehouses (MS Azure Databricks). - Prepare datasets, develop new data attributes, and create unified consumer, retailer, and electrician profiles. - Lead ad-hoc and ongoing analyses to uncover insights and improve campaign performance. - Develop a GenAI-powered Consumer Insights Factory to automate and scale insights generation. - Support insight generation across consumer, loyalty, app, sales, and transactional data. - Build and maintain predictive AI/ML models across key consumer, CX, and service-related use cases such as product recommendations, purchase propensity, and churn prediction. - Work with Data Engineering and Visualization teams to deliver MIS reports and dashboards. - Support AI/ML solutions across multiple business functions such as market mix modeling, partner risk scoring, and demand forecasting. - Utilize LLMs and agent-based AI to build solutions including internal business chatbots, consumer-facing chatbots, and manufacturing-focused GenAI applications. Qualifications Required: - Experience in working with large datasets and data engineering activities. - Proficiency in building and maintaining predictive AI/ML models. - Hands-on experience with cloud-based Data Lakes/Warehouses (MS Azure Databricks). - Strong analytical skills and the ability to uncover insights from data. - Familiarity with visualization tools such as Power BI. - Knowledge of AI/ML applications and predictive analytics. - Understanding of GenAI applications and data architecture for efficient visualization and ML modeling. - Ability to integrate new structured and unstructured data sources into the Databricks ecosystem.,