below marketmost similar roles pay hereabove market
This role pays less than
83%
of similar roles. Most pay
$145,200–$208,925
— the blue band above.
At the midpoint, this role pays about
$140k
versus about
$177k
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
101 open roles
on FindRole.
Listed pay typically runs
$99,000–$232,000
across 97 roles with salary data.
As an AI & GenAI Data Scientist-Senior Associate within the Data and Analytics Engineering practice, you will solve complex business problems by leveraging advanced analytics, statistical modeling, and exploratory analysis. Your daily responsibilities include developing data science workflows to transform large datasets into actionable insights, designing data pipelines, and performing data quality checks. You will build machine learning and predictive modeling solutions using Python, R, TensorFlow, or Scikit-learn while collaborating on AI and GenAI use cases. The role requires interpreting complex data to provide technical documentation and visual storytelling for clients. You will also mentor junior team members and manage assigned workstreams. Key competencies include NLP, data mining, and the ability to navigate ambiguity to support data-driven transformation and advanced analytics delivery.
Machine Learning
Deep Learning
Natural Language Processing
Statistical Modeling
Data Visualization
Data Engineering
Data Pipelines
Predictive Modeling
Data Quality
Descriptive Analysis
Data Science Workflows
Python
SQL
LLMs
Snowflake
Tableau
AWS
Machine Learning
Data Engineering
Data Science
Generative AI
Multi-agent patterns
Data Pipelines
Quantitative Research
Generative AI
Python
PyTorch
LangChain
AWS
Spark
Vector Databases
RAG
Multi-Agent Systems
Deep Learning
NLP
SQL
Scala
R
Machine Learning
Statistics
Time Series
Clustering
Sentiment Analysis