Verified Job
IT / Software / Data Analyst
Risk Modeling Services - AI - Experienced Associate
IT / Software / Data Analyst
#682856
Remote / WFH
Job Description
Full job description
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.
Driven by curiosity, you are a reliable, contributing member of a team. In our fast-paced environment, you are expected to adapt to working with a variety of clients and team members, each presenting varying challenges and scope. Every experience is an opportunity to learn and grow. You are expected to take ownership and consistently deliver quality work that drives value for our clients and success as a team. As you navigate through the Firm, you build a brand for yourself, opening doors to more opportunities.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
Apply a learning mindset and take ownership for your own development.
Appreciate diverse perspectives, needs, and feelings of others.
Adopt habits to sustain high performance and develop your potential.
Actively listen, ask questions to check understanding, and clearly express ideas.
Seek, reflect, act on, and give feedback.
Gather information from a range of sources to analyse facts and discern patterns.
Commit to understanding how the business works and building commercial awareness.
Learn and apply professional and technical standards (e.g. refer to specific PwC tax and audit guidance), uphold 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 an 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 1 year 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 1 year 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
Learn more about how we work: https://pwc.to/how-we-work
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.
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; *** (including pregnancy, ****** orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.
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.
Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines
The salary range for this position is: $63,000 - $141,500. 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
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.
Driven by curiosity, you are a reliable, contributing member of a team. In our fast-paced environment, you are expected to adapt to working with a variety of clients and team members, each presenting varying challenges and scope. Every experience is an opportunity to learn and grow. You are expected to take ownership and consistently deliver quality work that drives value for our clients and success as a team. As you navigate through the Firm, you build a brand for yourself, opening doors to more opportunities.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
Apply a learning mindset and take ownership for your own development.
Appreciate diverse perspectives, needs, and feelings of others.
Adopt habits to sustain high performance and develop your potential.
Actively listen, ask questions to check understanding, and clearly express ideas.
Seek, reflect, act on, and give feedback.
Gather information from a range of sources to analyse facts and discern patterns.
Commit to understanding how the business works and building commercial awareness.
Learn and apply professional and technical standards (e.g. refer to specific PwC tax and audit guidance), uphold 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 an 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 1 year 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 1 year 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
Learn more about how we work: https://pwc.to/how-we-work
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.
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; *** (including pregnancy, ****** orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.
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.
Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines
The salary range for this position is: $63,000 - $141,500. 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
