Risk Modeling Services AI Data Scientist

PWC

Quick summary

Work type
On-site
Location
New York, NY
Salary
$72,000–$184,440 / yr
Posted
2 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $170k
This role $128k
$54k most similar roles pay here $243k

This role pays less than 72% of similar roles. Most pay $126,800–$212,433 — the shaded band above. At the midpoint, this role pays about $128k versus about $170k 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 43 open roles on FindRole.

Listed pay typically runs $99,000–$232,000 across 41 roles with salary data.

Most-posted roles

View all roles at PWC

At a glance

TL;DR · Risk Modeling Services AI Data Scientist

Role Posting Log in to save

As a Senior Associate on PwC's Risk Modeling Services team, you will contribute to developing and validating AI models across sectors like insurance and finance. Your day-to-day involves applying econometric techniques, enforcing DevOps practices, and deploying AI solutions in real-world environments while ensuring compliance with regulatory standards. You will collaborate closely with data scientists, engineers, and architects to deliver high-quality projects that optimize client operations. The role requires a Bachelor's degree and at least two years of experience in AI, ML, or econometrics, along with proficiency in Python, R, Databricks, and React. Ideal candidates also have hands-on experience with DevOps practices, regulatory standards like SR 11-7, and the ability to communicate complex technical concepts effectively to non-technical stakeholders.

Skills

Python R Databricks React LangChain LangGraph LangSmith XGBoost random forests support vector machines Git CI/CD test automation infrastructure as code system monitoring Generalized Linear Models (GLMs) time series analysis fractional response models SR 11-7 Colorado SB21-169 NIST ISO 42001 NAIC Model Bulletin

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.
  • Enforce DevOps best practices including version control, CI/CD, and test automation.

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 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 to non-technical stakeholders.

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