Senior Data Scientist

F.N.B. Corporation; Pittsburgh (Allegheny County); On-site; USD 120,000 - 190,000; Full time

Job summary

F.N.B. Corporation in Pittsburgh, PA, seeks a Senior Data Scientist to lead the development and deployment of advanced analytics and machine learning solutions across fraud detection, document intelligence, customer analytics, and treasury forecasting.

You will partner with business leaders to translate complex problems into scalable models, oversee end-to-end production ML systems, and drive measurable business impact through governance and monitoring.

Qualifications

• BA or BS in a relevant field.
• Minimum 5 years of related experience.
• Strong communication and collaboration skills.
• Ability to design and implement ML models.
• Experience with production ML systems and governance.
• Familiarity with NLP/vision is a plus.

Responsibilities

• Lead the design and development of ML models across fraud detection, customer behavior, document intelligence, 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 with data pipelines, feature stores, deployment, and monitoring.
• Provide technical leadership, mentorship, and review for quality and best practices.
• Communicate complex analytical findings to technical and non-technical audiences to influence decisions.
• Establish best practices in modeling, documentation, governance, and performance monitoring.
• Design and evaluate experiments (A/B testing, back testing) to measure model impact on fraud loss, retention, and revenue.
• Drive innovation by researching and applying new tools and methodologies in data science.
• Collaborate cross-functionally with data engineering, IT, and business teams to ensure alignment and implementation.
• Design and implement NLP, computer vision, and hybrid rule-based/ML systems for document extraction and text analytics.
• Performs other related duties and projects as assigned.
• All employees have risk management responsibility per the risk management program.

Skills

Communication

Organizational skills

Analytical skills

Interpersonal skills

Detail-oriented

Project management

Machine Learning

Statistical modeling

Data Wrangling

Feature Engineering

Education

BA or BS

Job description

This position leads the development and deployment of advanced analytics and machine learning solutions across fraud detection, document intelligence, customer analytics, and treasury forecasting. The Senior Data Scientist partners with business leaders to translate complex financial and operational problems into scalable models and AI solutions, with a focus on production deployment, model governance, and measurable business impact.

Primary Responsibilities:

Lead the design and development of machine learning models across use cases such as fraud detection, customer behavior modeling, document intelligence (OCR/Doc AI), and financial forecasting.

Partner with senior leadership and stakeholders to identify opportunities, define analytical approaches, 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 of model performance and drift.

Provide technical leadership, mentorship, and guidance to junior and mid-level data scientists; review work to ensure quality, accuracy, and best practices.

Communicate complex analytical findings to both technical and non-technical audiences; influence decision-making through clear storytelling and recommendations.

Establish and maintain best practices in modeling, documentation, model governance, and performance monitoring to ensure scalability and compliance.

Design and evaluate experiments (e.g., A/B testing, back testing) to measure model impact on business outcomes such as fraud loss reduction, customer retention, and revenue growth.

Drive innovation by researching and applying new tools, techniques, and methodologies in data science and analytics.

Collaborate cross-functionally with data engineering, IT, and business teams to ensure alignment and successful implementation of solutions.

Design and implement NLP, computer vision, and hybrid rule-based/ML systems for document extraction, classification, and text analytics use cases.

Performs other related duties and projects as assigned.

All employees have the responsibility and the accountability to serve as risk managers for their businesses by understanding, reporting, responding to, managing and monitoring the risk they encounter daily as required by F.N.B. Corporation's risk management program.

F.N.B. Corporation is committed to achieving superior levels of compliance by adhering to regulatory laws and guidelines. Compliance with regulatory laws and company procedures is a required component of all position descriptions.

Minimum Level of Education Required to Perform the Primary Responsibilities of this Position:

BA or BS

Minimum # of Years of Job Related Experience Required to Perform the Primary Responsibilities of this Position:

5

Skills Required to Perform the Primary Responsibilities of this Position:

Excellent communication skills, both written and verbal

Excellent organizational, analytical and interpersonal skills

Detail-oriented

Excellent project management skills

Ability to use a personal computer and job-related software

Machine Learning (supervised/unsupervised)

Statistical modeling & experimentation

Data Wrangling & Feature Engineering

Licensures/Certifications Required to Perform the Primary Responsibilities of this Position:

N/A

Physical Requirements or Work Conditions Beyond Traditional Office Work:

N/A

Please note: this on-site position is based at our Financial Center in Pittsburgh, PA. Candidates must be local or willing to relocate to the area.

FNB will not provide sponsorship for employment-based visas for this position; only candidates who are legally authorized to work in the U.S. will be considered.