This role pays less than
98%
of similar roles. Most pay
$145,200–$217,156
— the shaded band above.
At the midpoint, this role pays about
$102k
versus about
$181k
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
108 open roles
on FindRole.
Listed pay typically runs
$99,000–$252,450
across 105 roles with salary data.
As an AI Engineer / Data Scientist, AI Experienced Associate within the Digital Assurance & Technology team, you will design and develop robust data solutions to transform raw information into actionable insights for clients. You will build and deploy machine learning models, perform complex data wrangling, and manage relational database systems to ensure scalable AI applications. Your daily work involves developing reusable tools, conducting testing and evaluation of AI-enabled systems for behavior, bias, and explainability, and documenting technical evidence regarding control effectiveness. To succeed in this role, you must be proficient in Python and other programming languages while applying data modeling techniques to improve quality. You will solve critical problems related to responsible, reliable AI deployment by identifying patterns, monitoring performance metrics, and translating complex technical findings into clear insights for non-technical stakeholders.
Artificial Intelligence
Machine Learning
Python
Deep Learning
Natural Language Processing
Speech Recognition
Data Modeling
Data Infrastructure
Monitoring
Data Analysis
Explainability
Guardrails
Artificial Intelligence
Machine Learning
Deep Learning
Python
Data Modeling
Data Analysis
Text Analytics
Pattern Recognition
Monitoring
Infrastructure
Algorithms
Artificial Intelligence
Machine Learning
Deep Learning
Data Science
Data Modeling
Data Analysis
Automated Testing
Monitoring
Data Infrastructure
Systems Thinking
Artificial Intelligence
Machine Learning
Python
C++
Java
TensorFlow
Scikit-Learn
Data Engineering
Data Wrangling
Data Modeling
AWS
Google Cloud
Microsoft Azure
Databricks
Snowflake
open-source
Software Implementation
Generative AI
Python
PyTorch
LangChain
AWS
Spark
Vector Databases
RAG
Multi-Agent Systems
Deep Learning
NLP
SQL
Scala
R
Machine Learning
Statistical Modeling
Time Series
Sentiment Analysis
Context Engineering
Information Retrieval