Primary Office Location: 626 Washington Place. Pittsburgh, Pennsylvania. 15219. Join our team. Make a difference - for us and for your future. **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.** Position Title: Senior Data Scientist Business Unit: Strategy and Innovation 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. 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 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 Required to Perform the Primary Responsibilities of this Position: N/A Physical Requirements or Work Conditions Beyond Traditional Office Work: 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. 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. A culture of teamwork. A history of success. As a leading diversified financial services company, F.N.B. Corporation (FNB) offers a wide range of opportunities for individuals who want to grow their careers. The FNB team is a group of highly qualified professionals who work together to provide comprehensive financial solutions across our corporate footprint, which includes Pennsylvania, Ohio, Maryland, West Virginia, Virginia, North Carolina, and South Carolina. Our consistent recognition as a best place to work and top workplace by our own employees symbolizes the outstanding culture we represent. Sign up for Job Alerts: A simple and easy way to stay up to date on career opportunities available. Interested in a career with FNB Corporation but not finding something that currently aligns with your interests, background, or experience? You now have the ability to sign up for job alerts through your candidate profile. To enroll you will need to create or sign into your candidate profile and select "job alerts". By enrolling in job alerts, you will receive email notifications as opportunities come available that match your selected interests.

Senior Data Scientist - Pittsburgh, PA.

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