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 requirements.
  
  

Job Summary

As an AI Data Scientist on the Risk Modeling Services (RMS) team, you will contribute to our growing expertise in developing, validating, and testing quantitative analytics and artificial intelligence models across sectors such as insurance, financial markets, and real estate. You’ll collaborate with data scientists, data engineers, and computer scientists focused on AI, generative AI, and econometric/statistical modeling R&D, all working to build advanced analytical techniques that help our clients optimize operations and achieve strategic goals.

The ideal candidate has significant experience building AI and econometric/statistical models, as well as leading technical teams with STEM backgrounds. You take a first principles approach to problem-solving and foster academic rigor, guiding junior team members toward clear, concise, and accurate solutions.

As a strategic advisor, you use your expertise, influence, and network to deliver high-quality results. You motivate and coach others, collaborate effectively to solve complex problems, and demonstrate sound judgment—knowing when to act independently and when to escalate. You’re expected to think critically, communicate clearly, and bring structure to complexity. Your commitment to building high-performing, diverse, and inclusive teams contributes meaningfully to the firm’s success.

Job Description

What does this role entail?

• Lead the development of GenAI solutions, including prompt engineering, retrieval-augmented generation (RAG), fine-tuning, AI agents, and multi-agent systems (MAS).
• Apply econometric modeling techniques such as generalized linear models (GLMs), time series analysis, and semi-parametric models (e.g., fractional response models).
• Utilize machine learning models including XGBoost, random forests, and support vector machines.
• During the development, validation, and monitoring of models, ensure compliance with model-related regulatory requirements and standards such as SR 11-7, Colorado SB21-169, NIST, ISO 42001, and the NAIC Model Bulletin.
• Experience with programming languages and environments such as Python, R, Databricks, and React.
• Enforce DevOps best practices, including version control (Git), CI/CD, test automation, infrastructure as code, system monitoring, and cross-functional collaboration.
• Design, develop, and deploy AI models in real-world client and business environments.
• Monitor and research emerging AI trends, fostering an agile, forward-looking development environment.
• Manage teams and engage with clients to process structured and unstructured data to improve business processes, workflows, and decision-making.
• Lead documentation and technical analysis efforts for validators, auditors, and regulators; clearly communicate complex concepts to non-technical stakeholders.
• Direct cross-functional teams—data engineers, architects, and data scientists—to deliver efficient, high-quality solutions aligned with client needs.
• Mentor and manage associates and senior associates through coaching, performance feedback, and hands-on guidance.
• Drive business development efforts, including managing the technical sales cycles and the client proposal process.
• Lead the development of internal GenAI assets and foundational capabilities to grow the firm’s practice.
  
  

Qualifications

Minimum Educational Qualifications:

A degree in statistics, mathematics, electrical engineering, physics, econometrics, computer science, or another related technical field.

Credentials - Good To Have

A master's degree or PhD in a related field from a premium institute is preferred but is not required.

Min years of Experience Requirement (Credential) - 8 years