Risk Modeling Services- AI Data Scientist - 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.

Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member’s unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same.

Skills

Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

• Analyse and identify the linkages and interactions between the component parts of an entire system.
• Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion.
• Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables.
• Develop skills outside your comfort zone, and encourage others to do the same.
• Effectively mentor others.
• Use the review of work as an opportunity to deepen the expertise of team members.
• Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate.
• Uphold 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 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 those around you, 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?

• Help contribute to 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.
• Help manage project delivery and work with clients to process structured and unstructured data to improve business processes, workflows, and decision-making.
• Support the documentation and technical analysis efforts for validators, auditors, and regulators; clearly communicate complex concepts to non-technical stakeholders.
• Work with 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.
• Support business development efforts, including the technical sales cycles and the client proposal process.
• Support 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) - 6 years