Senior Data Scientist: ML for Fraud & Docs (On-Site)

fnbcorp; Pittsburgh (Allegheny County); On-site; USD 120,000 - 190,000; Full time

Job summary

F.N.B. Corporation in Pittsburgh is seeking a Senior Data Scientist to lead development and deployment of advanced analytics and ML solutions across fraud detection, document intelligence, customer analytics, and treasury forecasting.

You will translate business problems into scalable models with production deployment and governance. You will mentor junior scientists, design end-to-end ML systems, collaborate across data engineering, IT and business teams, and communicate results to both

Qualifications

• BA or BS required.
• Strong Python, SQL and ML skills.
• Experience delivering production ML systems and governance.
• Excellent communication and collaboration across teams.

Responsibilities

• Lead the design and development of machine learning models across fraud detection, customer behavior modeling, document intelligence (OCR/Doc AI), and financial forecasting.
• Partner with senior leadership to identify opportunities and translate business needs into data-driven solutions.
• Architect and oversee end-to-end production ML systems, including data pipelines, feature stores, model deployment, and monitoring.
• Provide technical leadership and mentorship to junior and mid-level data scientists; review work for quality and best practices.
• Communicate analytical findings to technical and non-technical audiences; influence decisions with clear storytelling.

Skills

Python (pandas, scikit-learn)

SQL (advanced querying)

Machine Learning (supervised/unsuperv…

Statistical modeling & experimentation

Data Wrangling & Feature Engineering

Excellent communication

Project management

MS Excel

MS PowerPoint

Detail-oriented

Interpersonal skills

Excellent management skills

Education

BA or BS

Job description

F.N.B. Corporation in Pittsburgh is seeking a Senior Data Scientist to lead development and deployment of advanced analytics and ML solutions across fraud detection, document intelligence, customer analytics, and treasury forecasting.

You will translate business problems into scalable models with production deployment and governance. You will mentor junior scientists, design end-to-end ML systems, collaborate across data engineering, IT and business teams, and communicate results to both