Risk Modeling Services Life - AI Data Scientist

Industry/Sector

Not Applicable

Specialism

Assurance

Management Level

Senior Associate

Job Description & Summary

At PwC, our people in software and product innovation focus on developing cutting-edge software solutions and driving product innovation to meet the evolving needs of clients. These individuals combine technical experience with creative thinking to deliver innovative software products and solutions.

In technology delivery at PwC, you will focus on implementing and delivering innovative technology solutions to clients, enabling seamless integration and efficient project execution. You will manage the end-to-end delivery process and collaborate with cross-functional teams to drive successful technology implementations.

Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn’t clear, you ask questions, and you use these moments as opportunities to grow.

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

• Respond effectively to the diverse perspectives, needs, and feelings of others.
• Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems.
• Use critical thinking to break down complex concepts.
• Understand the broader objectives of your project or role and how your work fits into the overall strategy.
• Develop a deeper understanding of the business context and how it is changing.
• Use reflection to develop self awareness, enhance strengths and address development areas.
• Interpret data to inform insights and recommendations.
• 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.

The Opportunity

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. As a Senior Associate, you will analyze complex problems, mentor junior team members, and build meaningful client relationships while navigating the intricacies of quantitative analytics and artificial intelligence. You will work 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 clients optimize operations and achieve strategic goals.

Responsibilities

- 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)

- During the development, validation, and monitoring of models, verify compliance with model-related regulatory requirements and standards

- Enforce DevOps best practices, including version control (Git), CI/CD, test automation, infrastructure as code, and system monitoring in the development and deployment of AI solutions

- 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

- Support 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

What You Must Have

- Bachelor's Degree 

- At least 2 years of AI, ML, econometrics, software development, or other related technical skills and professional experience

What Sets You Apart

- Master's degree in Statistics, Financial Mathematics, Mathematics, Electrical Engineering, Physics, Econometrics, or Computer Science 

- Having more than 2 years of hands-on experience with data science, ML/AI, or econometric modeling in industry or applied research settings

- Experience with programming languages and environments such as Python, R, Databricks, and React

- Experience with LangChain, LangGraph, LangSmith, or other agentic frameworks

- Experience building and deploying machine learning models including XGBoost, random forests, and support vector machines

- Hands-on experience implementing DevOps practices for data, machine learning or AI systems, including automated testing, Continuous Integration / Continuous Delivery / Deployment pipelines, and infrastructure as code

- Track record of supporting business development efforts, including technical sales cycles and the client proposal process

- Demonstrated experience applying regulatory and risk management standards such as SR 11-7, Colorado SB21-169, NIST, ISO 42001, and the NAIC Model Bulletin 

- Proven verbal and written communication skills, with the ability to translate complex technical concepts for non-technical audiences and engage with key stakeholders

Travel Requirements

Up to 20%

Job Posting End Date

The salary range for this position is: $72,000 - $184,440. For residents of Washington state the salary range for this position is: $72,000 - $212,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. 

PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.

Learn more about how we work: https://pwc.to/how-we-work

For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws.  At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.