Data Scientist, Enterprise Fraud Analytics

PNC Financial Services Group, Inc.; Birmingham (AL); On-site; USD 86,250 - 172,500; Full time

Benefits offered by this job

Medical/prescription coverage

Dental and vision options

401(k) with PNC match

Pension and stock purchase plans

Educational assistance

Job summary

PNC Financial Services Group, Inc. is seeking a Data Scientist to develop anomaly detection metrics and analytics within Enterprise Fraud. The role involves analyzing vast data to uncover fraud patterns and partnering with cross‑functional teams to enhance mitigation strategies.

Responsibilities include building ML models, conducting experiments, and presenting actionable insights to management using visualization tools.

Qualifications

• University degree plus relevant industry experience is expected.
• Masters degree preferred; certifications are optional.
• Experience with analytics, ML and data mining is valued.

Responsibilities

• Develop anomaly detection metrics and monitoring tools for fraud.
• Analyze data to surface suspicious activity and trends.
• Collaborate with cross‑functional teams to improve fraud mitigation.
• Present insights using visualization and data storytelling.

Skills

Analytical Thinking

Data Analytics

Data Mining

Data Science

Machine Learning

Data Architecture

Disruptive Innovation

Information Capture

Modeling

Education

Masters

Job description

PNC Financial Services Group, Inc. is seeking a Data Scientist to develop anomaly detection metrics and analytics within Enterprise Fraud. The role involves analyzing vast data to uncover fraud patterns and partnering with cross‑functional teams to enhance mitigation strategies.

Responsibilities include building ML models, conducting experiments, and presenting actionable insights to management using visualization tools.