This role pays less than
93%
of similar roles. Most pay
$126,800–$189,562
— the shaded band above.
At the midpoint, this role pays about
$122k
versus about
$158k
for comparable roles.
Based on 240 similar postings.
Employer
About PNC
PNC is one of the largest diversified financial services institutions in the U.S., based in Pittsburgh, PA, it provides retail banking, corporate banking, and asset management.
PNC currently has
57 open roles
on FindRole.
Listed pay typically runs
$87,500–$185,900
across 37 roles with salary data.
Data Scientist - Data & Automation joins the Data & Automation - AI Governance & Oversight team to manage governance forum operations, including agenda creation, meeting preparation, decision tracking, and documentation management. This role involves partnering with cross-functional stakeholders in Legal, Ethics, HR, Risk, and Technology to drive progress on Responsible AI reporting activities and intellectual property tracking. The position requires performing analytical tasks on structured and unstructured data to extract insights, developing machine learning algorithms to predict business outcomes, and running experiments for process optimization. Candidates should be proficient in Microsoft Suite, with preferred skills in Python, Tableau, and Power BI. The role addresses the critical domain of AI risk management and governance, ensuring that automated systems and artificial intelligence initiatives adhere to established oversight standards and internal audit requirements within a complex corporate environment.
What does a Data Scientist earn?
Median $162000 from 284 postings across 56 companies.
Artificial Intelligence
Machine Learning
Data Science
Python
Power BI
Data Mining
Data Analytics
Data Architecture
Risk Management
Modeling
Structured Data
Unstructured Data
Python
Machine Learning
Artificial Intelligence
Natural Language Processing
SQL
NoSQL
Hadoop
Hive
EMR
Kafka
Spark
MySQL
R
SAS
Monte Carlo Simulation
Data Visualization
Grafana
Python
R
SQL
Machine Learning
Data Visualization
Inferential Statistics
Data Analytics
Data Cleansing
System Integration
Web Applications
Item Response Theory
Factor Analysis
Data Governance
Research Design