Data Scientist Senior - Internal Audit at PNC Financial Services Group

Job description

Position Overview At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company’s success. As a Data Scientist Senior within PNC's Internal Audit organization, you will be based in Cleveland, OH; Pittsburgh, PA; Raleigh, NC or Birmingham, AL. PNC's Internal Audit organization is seeking a highly motivated Senior Data Scientist to join a dynamic team that is redefining how risk is identified, monitored, and assessed across the enterprise. PNC's Internal Audit department is composed of industry leaders who provide independent, objective assurance and consulting services designed to add value and improve organizational performance. Through innovative use of data, emerging technologies, and analytical methodologies, the team is evolving audit practices to deliver deeper insights, proactive risk identification, and more effective assurance. As a Senior Data Scientist, you will play a key role in delivering advanced analytical solutions that enhance audit effectiveness, improve operational insights, and support strategic decision-making across Internal Audit. You will collaborate with audit professionals, business partners, and technology teams to develop scalable, production-ready analytics and AI-enabled solutions that help identify risk and drive value. The successful candidate will be a technically strong and innovative data scientist who can combine advanced analytical techniques with business acumen to solve complex risk challenges. This individual will help Internal Audit move beyond descriptive reporting toward predictive and AI-enabled insights that improve audit quality, strengthen risk identification, and drive strategic value across the organization. Key Responsibilities • Lead the design, development, testing, deployment, and maintenance of advanced analytics, machine learning, and AI-enabled solutions supporting Internal Audit priorities. • Partner with audit teams and stakeholders to translate business challenges, audit objectives, and risk considerations into analytical solutions and data products. • Develop predictive, diagnostic, anomaly detection, and risk-focused models that improve audit planning, testing, continuous monitoring, and reporting capabilities. • Build scalable, maintainable, and reusable analytical frameworks, workflows, and data products that drive efficiency and insight generation across the audit lifecycle. • Identify opportunities to leverage automation, machine learning, and generative AI technologies to enhance audit processes and risk identification. • Collaborate with technology, data, and enterprise partners to support model deployment, productionization, data pipeline development, and ongoing solution maintenance. • Ensure analytical solutions comply with established governance, validation, testing, documentation, and lifecycle management standards. • Communicate analytical results and strategic recommendations to both 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's data science, automation, and AI capabilities through innovation, thought leadership, and continuous improvement initiatives. Desired Skills & Experience Technical Skills • 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, Tableau, or similar tools. Emerging Technology Skills • Experience with generative AI, large language models (LLMs), prompt engineering, retrieval-augmented generation (RAG), AI agents, or related technologies preferred. • Understanding of AI governance, model risk management, and responsible AI practices preferred. Leadership & Business Skills • 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. PNC is an in-office company that fosters a supportive culture where employees can thrive and achieve balance. We encourage candidates to connect with their recruiter and hiring manager to understand workplace expectations and ensure the role aligns with their goals. PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position. Job Description Leads the implementation of analytical projects that leverage vast amounts of structured and unstructured data to extract actionable business insights. Directs the data gathering, data processing and data mining of large and complex datasets. Leads the development of algorithms using advanced mathematical and statistical techniques like machine learning to predict business outcomes and recommend optimal actions to management. Leads analytical experiments in a methodical manner to find opportunities for product and process optimization. Presents business insights to management using visualization technologies and data storytelling. Partners with Data Architects, Data Analysts, Data Engineers and Visualization Experts to develop data-driven solutions for the business. PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be: Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions. Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC s Enterprise Risk Management Framework. Qualifications Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position. Preferred Skills Analytical Thinking, Competitive Advantages, Data Analytics, Data Mining, Data Science, Machine Learning (ML) Competencies Data Architecture, Data Mining, Disruptive Innovation, Information Capture, Machine Learning, Modeling: Data, Process, Events, Objects, Prototyping, Query and Database Access Tools Work Experience Roles at this level typically require a university / college degree, with 5+ years of industry-relevant experience. Specific certifications are often required. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered. Education Masters Certifications No Required Certification(s) Licenses No Required License(s) Language Assessments No Required or Preferred Language Assessments Pay Transparency Base Salary: $91,000.00 – $185,900.00 Salaries may vary based on geographic location, market data and on individual skills, experience, and education. This role is incentive eligible with the payment based upon company, business and/or individual performance. Application Window Generally, this opening is expected to be posted for two business days from 09/08/2026, although it may be longer with business discretion. Benefits PNC offers a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include: medical/prescription drug coverage (with a 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; a robust wellness program with financial incentives. In addition, PNC generally provides the following paid time off, depending on your eligibility: maternity and/or parental leave; up to 11 paid holidays each year; 9 occasional absence days each year, unless otherwise required by law; between 15 to 25 vacation days each year, depending on career level; and years of service. To learn more about these and other programs, including benefits for full time and part-time employees, visit pncthrive.com . Disability Accommodations Statement If an accommodation is required to participate in the application process, please contact us via email at AccommodationRequest pnc.com . Please include “accommodation request” in the subject line title and be sure to include your name, the job ID, and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses. Applicants may also call 877-968-7762 and say Workday for accommodation assistance. All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. At PNC we foster an inclusive and accessible workplace. We provide reasonable accommodations to employment applicants and qualified individuals with a disability who need an accommodation to perform the essential functions of their positions. Equal Employment Opportunity (EEO) PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law. This position is subject to the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA) and, for any registered role, the Secure and Fair Enforcement for Mortgage Licensing Act of 2008 (SAFE Act) and/or the Financial Industry Regulatory Authority (FINRA), which prohibit the hiring of individuals with certain criminal history. California Residents Refer to the California Consumer Privacy Act Privacy Notice to gain understanding of how PNC may use or disclose your personal information in our hiring practices.

Requirements

Must-haves

Position Overview
PNC's Internal Audit organization is seeking a highly motivated Senior Data Scientist to join a dynamic team that is redefining how risk is identified, monitored, and assessed across the enterprise.
Lead the design, development, testing, deployment, and maintenance of advanced analytics, machine learning, and AI-enabled solutions supporting Internal Audit priorities.
Partner with audit teams and stakeholders to translate business challenges, audit objectives, and risk considerations into analytical solutions and data products.
Develop predictive, diagnostic, anomaly detection, and risk-focused models that improve audit planning, testing, continuous monitoring, and reporting capabilities.
Build scalable, maintainable, and reusable analytical frameworks, workflows, and data products that drive efficiency and insight generation across the audit lifecycle.
Identify opportunities to leverage automation, machine learning, and generative AI technologies to enhance audit processes and risk identification.
Collaborate with technology, data, and enterprise partners to support model deployment, productionization, data pipeline development, and ongoing solution maintenance.
Ensure analytical solutions comply with established governance, validation, testing, documentation, and lifecycle management standards.
Communicate analytical results and strategic recommendations to both 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's data science, automation, and AI capabilities through innovation, thought leadership, and continuous improvement initiatives.
Desired Skills & Experience
Technical Skills
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.

Nice-to-haves

Experience with generative AI, large language models (LLMs), prompt engineering, retrieval-augmented generation (RAG), AI agents, or related technologies preferred.
Understanding of AI governance, model risk management, and responsible AI practices preferred.
Preferred Skills Analytical Thinking, Competitive Advantages, Data Analytics, Data Mining, Data Science, Machine Learning (ML)
No Required or Preferred Language Assessments

Application prep

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Keywords to mirror

aimachine learningpythonsqlml

Platform: workday
Effort: long

Benefits

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Dental

Vision

401(K)

Paid Time Off

Parental Leave

Wellness