Data Scientist Senior - Internal Audit

Senior Data Scientist supporting PNC’s Internal Audit organization, delivering advanced analytics, machine learning, and AI-enabled solutions to identify, monitor, and assess risk across the enterprise.

Responsibilities

• Lead end-to-end delivery of advanced analytics, machine learning, and AI-enabled solutions for Internal Audit priorities, including design, development, testing, deployment, and ongoing maintenance.
• Work with audit teams and stakeholders to convert audit objectives, business challenges, and risk considerations into analytics and data products.
• Develop predictive, diagnostic, anomaly detection, and risk-focused models to strengthen audit planning, testing, continuous monitoring, and reporting.
• Build scalable, maintainable, reusable analytical frameworks, workflows, and data products to improve efficiency across the audit lifecycle.
• Identify opportunities to apply automation, machine learning, and generative AI to enhance audit processes and improve risk identification.
• Collaborate with technology, data, and enterprise partners to support model deployment, productionization, data pipeline development, and solution maintenance.
• Ensure solutions follow established governance, validation, testing, documentation, and lifecycle management standards.
• Present analytical results and strategic recommendations to technical and non-technical audiences, translating complex findings into actionable business insights.
• Mentor and provide technical guidance to team members while promoting best practices in data science, machine learning, software development, and analytics engineering.
• Contribute to the evolution of Internal Audit data science, automation, and AI capabilities through innovation, thought leadership, and continuous improvement.
• Lead analytical projects using large volumes of structured and unstructured data to extract actionable business insights.
• Direct data gathering, data processing, and data mining across large and complex datasets.
• Lead development of algorithms using advanced mathematical and statistical techniques to predict business outcomes and recommend optimal actions to management.
• Run methodical analytical experiments to identify opportunities for product and process optimization, using visualization and data storytelling to share insights with management.
• Partner with Data Architects, Data Analysts, Data Engineers, and Visualization Experts to develop data-driven solutions.

Requirements

• Advanced proficiency in Python and SQL.
• Experience with data manipulation and analytical libraries, such as Pandas, NumPy, Scikit-learn, PySpark, TensorFlow, or similar technologies.
• Experience working with large-scale data environments, including Hadoop-based platforms, distributed data processing frameworks, and enterprise data ecosystems.
• Experience using GitHub or other source control platforms for code management, collaboration, version control, and code review.
• Experience with machine learning, statistical modeling, predictive analytics, and data science methodologies.
• Experience with natural language processing (NLP), text analytics, document intelligence, topic modeling, and analysis of unstructured data.
• Experience developing, validating, deploying, and monitoring production analytics or machine learning solutions.
• Familiarity with software package, dependency, and artifact management tools such as Artifactory, Conda, pip, or similar enterprise development technologies.
• Familiarity with data visualization platforms such as Power BI or Tableau, or similar tools.
• Generative AI experience preferred, including LLMs, prompt engineering, RAG, AI agents, or related technologies.
• Understanding of AI governance, model risk management, and responsible AI practices preferred.
• Strong problem-solving and critical-thinking capabilities.
• Ability to influence stakeholders and communicate effectively across technical and business audiences.
• Demonstrated ability to manage multiple priorities and deliver high-quality solutions in a dynamic environment.
• Strong collaboration skills and a passion for mentoring and developing others.
• Typically requires a university or college degree and 5+ years of industry-relevant experience.
• In lieu of a degree, a comparable combination of education, job-specific certifications, and experience (including military service) may be considered.

Technologies

• Python, SQL
• Pandas, NumPy, Scikit-learn, PySpark, TensorFlow
• GitHub
• Hadoop
• Power BI, Tableau
• Artifactory, Conda, pip
• Natural language processing (NLP), Topic modeling
• Generative AI, Large language models (LLMs), Prompt engineering, Retrieval-augmented generation (RAG), AI agents
• Machine learning

Benefits

• Medical and prescription drug coverage (with Health Savings Account feature)
• Dental and vision options
• Employee and spouse/child life insurance
• Short and long-term disability protection
• 401(k) with PNC match
• Pension and stock purchase plans
• Dependent care reimbursement account
• Back-up child/elder care
• Adoption, surrogacy, and doula reimbursement
• Educational assistance (including select programs fully paid)
• Robust wellness program with financial incentives
• Maternity and/or parental leave
• Up to 11 paid holidays each year
• 9 occasional absence days each year (unless otherwise required by law)
• 15 to 25 vacation days each year (depending on career level)

Location and Work Model

• Onsite: Pittsburgh, PA 15222
• In-office work location options include Cleveland, OH; Pittsburgh, PA; Raleigh, NC; or Birmingham, AL

Compensation

• Base salary: $91,000.00 to $185,900.00 per year
• Salaries may vary based on geographic location, market data, and individual skills, experience, and education
• Incentive eligible; payment based on company, business, and/or individual performance

Application Window

• Expected posted duration: two business days from 09/08/2026 (may be longer with business discretion)

Disability Accommodations Statement

If an accommodation is required to participate in the application process, contact [email protected] with subject “accommodation request” and include your name, job ID, and preferred contact method. Applicants may also call 877-968-7762 and say “Workday”. All information provided will be kept confidential and used only to the extent required for reasonable accommodations.

EEO Statement

• Equal employment opportunity regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other legally protected categories
• Subject to requirements of Section 19 of the Federal Deposit Insurance Act (FDIA); and, for any registered role, the SAFE Act and/or FINRA rules that prohibit hiring of individuals with certain criminal history

California Residents

Refer to the California Consumer Privacy Act Privacy Notice to understand how PNC may use or disclose personal information in hiring practices.

Customer Focused / Managing Risk

• Customer Focused: Knowledgeable of values and practices that align with customer needs and satisfaction
• Managing Risk: Assessing and effectively managing risks related to business objectives and activities to support PNC’s Enterprise Risk Management Framework

Preferred Skills / Competencies

• Analytical Thinking, Competitive Advantages, Data Analytics, Data Mining, Data Science, Machine Learning (ML)
• Data Architecture, Data Mining, Disruptive Innovation, Information Capture, Modeling: Data, Process, Events, Objects, Prototyping, Query and Database Access Tools
• No required certification(s)
• No required license(s)

Sponsorship

• PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position

Role Requirements (Summary)

• Senior Data Scientist in Internal Audit organization
• Minimum experience: 5 years
• Education: Masters