As a Business Intelligence professional at PwC, your primary focus will be on utilizing data and analytics to generate strategic insights and facilitate informed decision-making for clients. Your role will involve developing and implementing innovative solutions to optimize business performance and gain a competitive edge.Key Responsibilities:- Work on end-to-end insurance analytics use cases encompassing underwriting, claims, risk assessment, customer analytics, and related areas.- Translate complex business challenges into analytical solutions and deliver actionable insights.- Develop and deploy predictive models and advanced analytical methodologies.- Create dashboards and data visualizations to aid business stakeholders in decision-making.- Collaborate effectively with cross-functional and client teams to drive analytics-driven solutions.Qualifications Required:- Solid understanding of the insurance domain.- Proficiency in advanced analytical skills using Python and SQL.- Solid grasp of predictive modeling and analytical problem-solving.- Experience in developing dashboards and visualizations for business users.- Hands-on experience with Python programming (data wrangling, modeling, visualization).- Ability to effectively communicate insights to stakeholders.Preferred Skills:- Exposure to GenAI driven analytics.- Familiarity with cloud platforms like Databricks/AWS.- Prior experience in consulting or client-facing roles.Please note that this job posting has been sourced from an external provider. Kindly verify the latest information directly from the companys official website before applying.



As a Business Intelligence professional at PwC, your primary focus will be on utilizing data and analytics to generate strategic insights and facilitate informed decision-making for clients. Your role will involve developing and implementing innovative solutions to optimize business performance and gain a competitive edge.Key Responsibilities:- Work on end-to-end insurance analytics use cases encompassing underwriting, claims, risk assessment, customer analytics, and related areas.- Translate complex business challenges into analytical solutions and deliver actionable insights.- Develop and deploy predictive models and advanced analytical methodologies.- Create dashboards and data visualizations to aid business stakeholders in decision-making.- Collaborate effectively with cross-functional and client teams to drive analytics-driven solutions.Qualifications Required:- Solid understanding of the insurance domain.- Proficiency in advanced analytical skills using Python and SQL.- Strong grasp of predictive modeling and analytical problem-solving.- Experience in developing dashboards and visualizations for business users.- Hands-on experience with Python programming (data wrangling, modeling, visualization).- Ability to effectively communicate insights to stakeholders.Preferred Skills:- Exposure to GenAI driven analytics.- Familiarity with cloud platforms like Databricks/AWS.- Prior experience in consulting or client-facing roles.Please note that this job posting has been sourced from an external provider. Kindly verify the latest information directly from the companys official website before applying.

📌 Senior Associate Data Scientist (India)
🏢 PwC Service Delivery Center
📍 India