Risk Modeling Services Life - AI Data Scientist

PWC

Hybrid

Quick summary

Work type
Hybrid
Location
New York - 300 Madison Avenue
Salary
$72,000–$184,440 / yr
Posted
46 days ago
Nearby
43 roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $168k
This role $128k
$55k most similar roles pay here $234k

This role pays less than 70% of similar roles. Most pay $126,800–$209,536 — the shaded band above. At the midpoint, this role pays about $128k versus about $168k for comparable roles.

Based on 240 similar postings.

Employer

About PWC

PwC (PricewaterhouseCoopers) is one of the "Big Four" accounting and professional services firms, providing audit, tax, and advisory services to companies, governments, and institutions worldwide. Industry: Professional Services & Accounting

PWC currently has 55 open roles on FindRole.

Listed pay typically runs $99,000–$232,000 across 55 roles with salary data.

Most-posted roles

View all roles at PWC

At a glance

TL;DR · Risk Modeling Services Life - AI Data Scientist

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As a Senior Associate on PwC's Risk Modeling Services team, you will play a pivotal role in developing and validating AI models across sectors like insurance, financial markets, and real estate. Your day-to-day responsibilities include contributing to the creation of GenAI solutions through prompt engineering and RAG techniques, applying econometric modeling methods, ensuring regulatory compliance, and enforcing DevOps best practices such as CI/CD and infrastructure as code. You will collaborate with data scientists, engineers, and architects to deliver high-quality AI models that optimize client operations, while also supporting project delivery and business development efforts. The ideal candidate possesses a Bachelor's degree and at least two years of experience in AI, ML, econometrics, or software development, along with hands-on experience in Python, R, Databricks, React, and agentic frameworks like LangChain. Additionally, you should have expertise in deploying machine learning models and implementing DevOps practices for data and AI systems, as well as a track record of applying regulatory standards such as SR 11-7 and NIST.

Skills

Python R Databricks React LangChain LangGraph LangSmith XGBoost random forests support vector machines Git CI/CD DevOps NIST ISO 42001 NAIC Model Bulletin SR 11-7 Colorado SB21-169

What you'll do

  • Contribute to the development of GenAI solutions and apply econometric modeling techniques.
  • Verify compliance with model-related regulatory requirements during development, validation, and monitoring.
  • Design, develop, and deploy AI models in real-world client environments.
  • Monitor emerging AI trends and foster an agile development environment.
  • Support project delivery by processing structured and unstructured data for clients.
  • Document technical analysis efforts and communicate complex concepts to non-technical stakeholders.

What we're looking for

  • At least 2 years of experience in AI, ML, econometrics, or software development.
  • Bachelor's Degree required; Master’s degree preferred in relevant fields.
  • Proficiency in Python, R, Databricks, and React programming languages/environments.
  • Experience with DevOps practices for data, machine learning, and AI systems.
  • Knowledge of regulatory standards such as SR 11-7, NIST, ISO 42001, NAIC Model Bulletin.
  • Ability to communicate complex technical concepts clearly to non-technical stakeholders.

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