Assurance - Risk Modeling Services- AI Data Scientist- Senior Associate

Role Overview: As a Senior Associate within Actuarial Services at PwC, you will have the opportunity to provide general insurance advice and consulting services to clients, including insurers, banks, regulators, and third-party administrators. Your role will involve offering advice on various aspects such as solvency, economic capital, risk management, mergers and acquisitions, company restructuring, financial modeling, underwriting, and compliance with new legislation. Your expertise will be crucial in analyzing the impact of new regulations on insurance companies" balance sheets and ensuring businesses have adequate reserves. Key Responsibilities: - Use feedback and reflection to develop self-awareness and address development areas - Delegate tasks to provide stretch opportunities and coach others for results - Demonstrate critical thinking to solve complex business problems - Utilize a range of tools to extract insights from industry trends - Review work for quality, accuracy, and relevance - Use communication skills to influence and connect with others effectively - Apply econometric modeling techniques such as GLMs and time series analysis - Utilize machine learning models including XGBoost and random forests - Ensure compliance with model-related regulatory requirements and standards - Experience with programming languages such as Python and R - Enforce DevOps best practices for model development and deployment - Design, develop, and deploy AI models in client environments - Monitor emerging AI trends and contribute to a forward-looking development environment - Support project delivery to improve business processes and decision-making - Communicate complex concepts to non-technical stakeholders - Collaborate with cross-functional teams to deliver solutions aligned with client needs - Support business development efforts and client proposal processes - Contribute to the development of internal GenAI assets and capabilities Qualification Required: - A degree in statistics, mathematics, electrical engineering, physics, econometrics, computer science, or related technical field - Preferred: Master's degree or PhD from a premium institute - Minimum 3-4 years of relevant experience,