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 such as 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 modelling, underwriting, and new legislation. You will play a key role in analyzing the impact of new regulations on insurance companies and ensuring businesses have adequate reserves.

Key Responsibilities:

• Use feedback and reflection to develop self-awareness, personal strengths, and address development areas.
• Delegate tasks to others to provide stretch opportunities and coach them to deliver results.
• Demonstrate critical thinking and the ability to solve complex business issues.
• Utilize a broad range of tools and techniques to extract insights from current industry trends.
• Review your work and that of others for quality, accuracy, and relevance.
• Know how and when to use tools available for a given situation and explain the reasons for your choice.
• Seek opportunities to gain exposure to different situations, environments, and perspectives.
• Communicate effectively and build quality relationships through structured communication.
• Uphold the firm's code of ethics and business conduct.
• Contribute to the development of GenAI solutions, including engineering, AI models, and multi-agent systems.
• Apply econometric modeling techniques such as generalized linear models, time series analysis, and semi-parametric models.
• Utilize machine learning models including XGBoost, random forests, and support vector machines.
• Ensure compliance with model-related regulatory requirements and standards during model development and monitoring.
• Possess experience with programming languages such as Python, R, Databricks, and React.
• Enforce DevOps best practices including version control, CI/CD, test automation, and system monitoring.
• Design, develop, and deploy AI models in real-world client environments.
• Monitor emerging AI trends and support project delivery to improve business processes and decision-making.
• Communicate complex technical concepts to non-technical stakeholders.
• Collaborate with cross-functional teams to deliver high-quality solutions aligned with client needs.
• Support business development efforts and internal GenAI asset development.

Qualification Required:

• Minimum Educational Qualifications: A degree in statistics, mathematics, electrical engineering, physics, econometrics, computer science, or a related technical field.
• Credentials - Good To Have: A master's degree or PhD in a related field from a premium institute is preferred but not required.
• Min years of Experience Requirement: 3-4 years of relevant experience. 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 such as 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 modelling, underwriting, and new legislation. You will play a key role in analyzing the impact of new regulations on insurance companies and ensuring businesses have adequate reserves.

Key Responsibilities:

• Use feedback and reflection to develop self-awareness, personal strengths, and address development areas.
• Delegate tasks to others to provide stretch opportunities and coach them to deliver results.
• Demonstrate critical thinking and the ability to solve complex business issues.
• Utilize a broad range of tools and techniques to extract insights from current industry trends.
• Review your work and that of others for quality, accuracy, and relevance.
• Know how and when to use tools available for a given situation and explain the reasons for your choice.
• Seek opportunities to gain exposure to different situations, environments, and perspectives.
• Communicate effectively and build quality relationships through structured communication.
• Uphold the firm's code of ethics and business conduct.
• Contribute to the development of GenAI solutions, including engineering, AI models, and multi-agent systems.
• Apply econometric modeling techniques such as generalized linear models, time series analysis, and semi-parametric models.
• Utilize machine learning models including XGBoost, random forests, and support vector machines.
• Ensure compliance with model-related regulatory requirements and standards during model development and monitoring.
• Possess experience with programming languages such as Python, R, Databricks, and React.
• Enforce DevOps best practices including version control, CI/CD, test automation, and system monitoring.
• Design, deve