Senior Associate Data Scientist

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 company's 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 company's official website before applying.