Senior Associate - Data Scientist

Role Overview: At PwC, you will focus on leveraging data to drive insights and make informed business decisions. Your role in business intelligence will involve providing strategic insights and driving informed decision-making for clients. You will be developing and implementing innovative solutions to optimize business performance and enhance competitive advantage. Key Responsibilities: - Work on end-to-end insurance analytics use cases such as underwriting, claims, risk, customer analytics, and related areas - Translate business problems into analytical solutions and deliver actionable insights - Develop and implement predictive models and advanced analytical approaches - Build dashboards and data visualizations to support decision-making for business stakeholders - Collaborate with cross-functional and client teams to drive analytics-led solutions Qualifications Required: - Strong Insurance Domain Knowledge - Advanced analytical skills using Python and SQL - Solid understanding of predictive modeling and analytical problem-solving - Experience creating dashboards and visualizations for business users - Hands-on Python programming experience (data wrangling, modeling, visualization) - Ability to communicate insights to Stakeholders Additional Details: At PwC, you will be part of a vibrant community that leads with trust and creates distinctive outcomes for clients and communities. The purpose-led and values-driven work, powered by technology in an innovative environment, will enable you to make a tangible impact in the real world. PwC believes in providing equal employment opportunities without any discrimination and strives to create an inclusive environment for personal and firm growth. Role Overview: At PwC, you will focus on leveraging data to drive insights and make informed business decisions. Your role in business intelligence will involve providing strategic insights and driving informed decision-making for clients. You will be developing and implementing innovative solutions to optimize business performance and enhance competitive advantage. Key Responsibilities: - Work on end-to-end insurance analytics use cases such as underwriting, claims, risk, customer analytics, and related areas - Translate business problems into analytical solutions and deliver actionable insights - Develop and implement predictive models and advanced analytical approaches - Build dashboards and data visualizations to support decision-making for business stakeholders - Collaborate with cross-functional and client teams to drive analytics-led solutions Qualifications Required: - Strong Insurance Domain Knowledge - Advanced analytical skills using Python and SQL - Solid understanding of predictive modeling and analytical problem-solving - Experience creating dashboards and visualizations for business users - Hands-on Python programming experience (data wrangling, modeling, visualization) - Ability to communicate insights to Stakeholders Additional Details: At PwC, you will be part of a vibrant community that leads with trust and creates distinctive outcomes for clients and communities. The purpose-led and values-driven work, powered by technology in an innovative environment, will enable you to make a tangible impact in the real world. PwC believes in providing equal employment opportunities without any discrimination and strives to create an inclusive environment for personal and firm growth.