Senior Data Scientist - Pittsburgh, PA

First National Bank; Pittsburgh (Allegheny County); On-site; USD 120,000 - 180,000; Full time

Job summary

Senior Data Scientist at First National Bank (F.N.B. Corporation) is sought to lead the development and deployment of advanced analytics and ML solutions across fraud detection, document intelligence, customer analytics, and treasury forecasting.

You will translate complex financial problems into scalable models, emphasize production deployment, governance, and measurable business impact, while guiding junior team members.

Qualifications

• BA or BS required for the role.
• Minimum 5 years of data science/analytics experience.
• Proficiency with Python, SQL, and ML techniques.

Responsibilities

• Lead design and development of ML models across fraud detection, customer behavior modeling, 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, including data pipelines, feature stores, model deployment, and monitoring.
• Provide technical leadership and mentorship to junior data scientists.

Skills

Communication

Organization

Analytical thinking

Detail-oriented

Project management

Interpersonal skills

Education

BA/BS in a related field

Tools

Python (pandas, scikit-learn)

SQL

MS Excel

MS PowerPoint

Job description

Location

Primary Office Location: 626 Washington Place. Pittsburgh, Pennsylvania. 15219.

Position Title

Position Title: Senior Data Scientist

Business Unit

Business Unit: Strategy and Innovation

Reports to

Reports to: Manager of Data Science

Position Overview

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.
• Perform other related duties and projects as assigned.

Minimum Education

BA or BS.

Minimum Years of Experience

5.

Skills

• Excellent communication skills, both written and verbal.
• Excellent organizational, analytical, and interpersonal skills.
• Detail-oriented.
• Excellent project management skills.
• MS Excel - Intermediate Level.
• MS PowerPoint - Intermediate Level.
• Ability to use a personal computer and job-related software.
• Excellent management skills.
• Python (pandas, scikit-learn, etc.).
• SQL (advanced querying, data extraction).
• Machine Learning (supervised/unsupervised).
• Statistical modeling & experimentation.
• Data Wrangling & Feature Engineering.

Licensures/Certifications

N/A.

Physical Requirements

N/A.

Equal Employment Opportunity (EEO)

It is the policy of F.N.B. Corporation (FNB) and its affiliates not to discriminate against any employee or applicant for employment because of age, race, color, religion, sex, national origin, disability, veteran status or any other category protected by law. It is also the policy of FNB and its affiliates to employ and advance in employment all persons regardless of their status as individuals with disabilities or veterans, and to base all employment decisions only on valid job requirements. FNB provides all applicants and employees a discrimination and harassment free workplace.

Visa Sponsorship

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.