Assurance Risk Modeling Services AI Data Scientist Manager

Role Overview: At PwC, the focus of risk and compliance professionals is on maintaining regulatory compliance and managing risks for clients. This involves providing advice and solutions to help organizations navigate complex regulatory landscapes and enhance their internal controls effectively. In the actuarial services department at PwC, you will be responsible for analyzing and managing financial risks for clients through statistical modeling and data analysis. Your work will involve generating valuable insights and recommendations to assist businesses in making informed decisions and mitigating potential risks.

Key Responsibilities: - Contribute to the development and deployment of GenAI solutions, including prompt engineering, retrieval-augmented generation (RAG), fine-tuning, AI agents, and multi-agent systems (MAS). - Develop and integrate econometric and statistical models such as generalized linear models (GLMs), time-series models, and semi-parametric approaches into Foundry-based pipelines and analytical workflows. - Build, train, and deploy machine learning models including XGBoost, random forests, and support vector machines leveraging Foundry's distributed compute environment (Spark / PySpark) for scalable feature engineering and model execution. - Design, build, and maintain production-grade data pipelines in Palantir Foundry, including transforms on structured and unstructured datasets, supporting end-to-end ingestion, transformation, feature generation, and model scoring. - Contribute to Foundry ontology design and implementation, supporting ontology objects and links with pipelines aligned to modeling, application, and client workflow requirements. - Ensure data quality, lineage, governance, and security across Foundry datasets and pipelines, supporting auditability and regulatory review. - Support compliance with model risk management and AI governance standards including SR 11-7, Colorado SB21-169, NIST frameworks, ISO 42001, and NAIC Model Bulletins throughout model development, validation, deployment, and monitoring. - Apply DevOps and MLOps best practices including Git-based version control, CI/CD, automated testing, infrastructure-as-code, and system monitoring in collaboration with Foundry, cloud, and data engineering teams. - Deploy AI and analytics solutions into real-world client environments, integrating models with Foundry-powered applications, dashboards, and decision workflows. - Monitor and research emerging AI, GenAI, and data-platform capabilities, incorporating new Foundry features and best practices into solution design. - Support project delivery and client engagements, working with structured and unstructured data in Foundry to improve business processes, operational workflows, and data-driven decision-making. - Support documentation and technical analysis for validators, auditors, and regulators, including detailed descriptions of Foundry pipelines, ontologies, modeling logic, and controls; communicate complex concepts clearly to non-technical stakeholders. - Collaborate with cross-functional teams including data engineers, architects, and data scientists to deliver scalable, high-quality Foundry-enabled AI and analytics solutions aligned to client needs. - Mentor and support associates and senior associates, providing coaching, technical guidance, and hands-on support across AI modeling and Palantir Foundry development. - Support business development activities, including technical solutioning, participation in sales cycles, and contribution to proposals that highlight Palantir-enabled AI and analytics capabilities. - Contribute to the development of internal GenAI assets and foundational platforms, building reusable Foundry pipelines, ontologies, and analytics components to scale the firms practice.

Qualification Required: - A degree in statistics, mathematics, electrical engineering, physics, econometrics, computer science, or another related technical field. - A master's degree or PhD in a related field from a premium institute is preferred but not required.

(Note: Any additional details of the company were not present in the provided job description.) Role Overview: At PwC, the focus of risk and compliance professionals is on maintaining regulatory compliance and managing risks for clients. This involves providing advice and solutions to help organizations navigate complex regulatory landscapes and enhance their internal controls effectively. In the actuarial services department at PwC, you will be responsible for analyzing and managing financial risks for clients through statistical modeling and data analysis. Your work will involve generating valuable insights and recommendations to assist businesses in making informed decisions and mitigating potential risks.

Key Responsibilities: - Contribute to the development and deployment of GenAI solutions, including prompt engineering, retrieval-augmented generation (RAG), fine-tuning, AI agents, and multi-agent sy