Data Scientist – Enterprise Fraud

PNC

Data Scientist analyzing fraud trends and developing tools for PNC's Enterprise Fraud Organization. Partnering with teams to improve fraud mitigation processes with data insights and analytics.

Posted 7/23/2026full-timePittsburgh • Alabama, Ohio, Pennsylvania • 🇺🇸 United StatesMid-LevelSenior💰 $86,250 - $172,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Data Analytics, Data Mining, and Machine Learning to develop effective anomaly detection metrics and monitoring tools. Capable of analyzing large datasets to extract actionable insights and optimize fraud mitigation processes through collaboration and data storytelling.

Highest-signal resume keywords

Data AnalyticsData MiningMachine LearningAnalytical ThinkingData Science

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Anomaly Detection MetricsFraud DetectionStatistical TechniquesAlgorithm DevelopmentData ProcessingData VisualizationData AnalysisPredictive ModelingBusiness Insights ExtractionData Experimentation

Soft Skills

Analytical ThinkingCollaborationCommunication

Certifications & Qualifications

Master’s Education

Industry Keywords

Fraud MitigationCross-Functional TeamsStructured DataUnstructured DataEmerging Trends

About the role

Key responsibilities & impact

Developing effective anomaly detection metrics and monitoring tools to identify potential fraud.
Analyzing data to detect suspicious activity, identify fraud patterns, and surface emerging trends.
Partnering closely with cross‑functional teams to share insights and continuously improve fraud mitigation processes.
Performs analytical tasks on vast amounts of structured and unstructured data to extract actionable business insights.
Participates in the data gathering, data processing and data mining of large and complex datasets.
Develops algorithms using advanced mathematical and statistical techniques like machine learning to predict business outcomes and recommend optimal actions to management.
Runs analytical experiments in a methodical manner to find opportunities for product and process optimization.
Assists in the presentation of business insights to management using visualization technologies and data storytelling.

Requirements

What you’ll need

3+ years of relevant / direct industry experience
Master’s education
Analytical Thinking
Competitive Advantages
Data Analytics
Data Mining
Data Science
Machine Learning (ML)

Benefits

Comp & perks

medical/prescription drug coverage (with a Health Savings Account feature)
dental and vision options
employee and spouse/child life insurance
short and long-term disability protection
401(k) with PNC match
pension and stock purchase plans
dependent care reimbursement account
back-up child/elder care
adoption, surrogacy, and doula reimbursement
educational assistance, including select programs fully paid
a robust wellness program with financial incentives
maternity and/or parental leave
up to 11 paid holidays each year
9 occasional absence days each year, unless otherwise required by law
between 15 to 25 vacation days each year, depending on career level; and years of service