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

At PwC, our people in risk and compliance focus on maintaining regulatory compliance and managing risks for clients, providing advice, and solutions. They help organisations navigate complex regulatory landscapes and enhance their internal controls to mitigate risks effectively. In actuarial services at PwC, you will be responsible for analysing and managing financial risks for clients through statistical modelling and data analysis. Your work will generate valuable insights and recommendations to help businesses make informed decisions and mitigate potential risks. Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to escalate. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm. Skills Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: • Craft and convey clear, impactful and engaging messages that tell a holistic story. • Apply systems thinking to identify underlying problems and/or opportunities. • Validate outcomes with clients, share alternative perspectives, and act on client feedback. • Direct the team through complexity, demonstrating composure through ambiguous, challenging and uncertain situations. • Deepen and evolve your expertise with a focus on staying relevant. • Initiate open and honest coaching conversations at all levels. • Make difficult decisions and take action to resolve issues hindering team effectiveness. • Model and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence

. • Lead the development and deployment of AI and GenAI solutions including prompt engineering, retrieval-augmented generation (RAG), fine-tuning, AI agents, and multi-agent systems (MAS), with solutions operationalized through Palantir Foundry workflows, applications, and ontologies. • Design, build, and maintain end-to-end data pipelines in Palantir Foundry to support AI, econometric, and machine learning models, including: • Transforms on structured (tabular) and unstructured datasets • Production-grade pipelines feeding mission-critical analytics and decision workflows • Performance optimization, logic refactoring, and operational support for existing pipelines • Leverage Spark / PySpark, Python, and SQL within Foundry to perform large-scale distributed data processing, transformation, feature engineering, and integration across diverse internal and external data sources. • Design and implement Foundry ontologies, providing data engineering and modeling context during ontology design, and building pipelines that back ontology objects and links based on analytical, application, and business