Senior Data Scientist – Internal Audit

PNC

. Lead the design, development, testing, deployment, and maintenance of advanced analytics, machine learning, and AI-enabled solutions for Internal Audit .

Posted 10/23/2026full-timeUnited StatesSenior💰 $91,000 - $185,900 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates advanced proficiency in Python and SQL, with expertise in machine learning, statistical modeling, and data science methodologies. Capable of developing and deploying scalable analytical solutions while ensuring compliance with governance and risk management standards.

Highest-signal resume keywords

Advanced Proficiency In PythonMachine Learning ExperienceStatistical Modeling ExpertiseData Visualization SkillsCollaboration And Mentoring

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLMachine LearningStatistical ModelingPredictive AnalyticsData Science MethodologiesNLPText AnalyticsAnomaly DetectionRisk-Focused ModelsData Processing

Soft Skills

Problem-SolvingCritical ThinkingInfluencing StakeholdersCollaborationMentoring

Tools & Technologies

PandasNumPyScikit-learnPySparkTensorFlowGitHubPower BITableauArtifactoryConda

Industry Keywords

Advanced AnalyticsAI-Enabled SolutionsInternal AuditData EcosystemsGovernanceModel Risk ManagementGenerative AIAI GovernanceData PipelinesData Products

Tech Stack

Tools & technologies

HadoopNumpyPandasPySparkPythonScikit-LearnSQLTableauTensorflow

About the role

Key responsibilities & impact

Lead the design, development, testing, deployment, and maintenance of advanced analytics, machine learning, and AI-enabled solutions for Internal Audit
Translate business challenges, audit objectives, and risk considerations into analytical solutions and data products
Develop predictive, diagnostic, anomaly detection, and risk-focused models for audit planning, testing, continuous monitoring, and reporting
Build scalable, maintainable, and reusable analytical frameworks, workflows, and data products
Identify opportunities to use automation, machine learning, and generative AI to improve audit processes and risk identification
Collaborate with technology, data, and enterprise partners on model deployment, productionization, data pipelines, and solution maintenance
Ensure compliance with governance, validation, testing, documentation, and lifecycle management standards
Communicate analytical results and strategic recommendations to technical and non-technical audiences
Mentor team members and provide technical guidance and best practices
Lead data gathering, processing, mining, and analytical experiments on large structured and unstructured datasets
Develop algorithms using advanced mathematical and statistical techniques to predict business outcomes and recommend actions
Present business insights to management using visualization and data storytelling
Partner with Data Architects, Data Analysts, Data Engineers, and Visualization Experts
Contribute to Internal Audit’s data science, automation, and AI capabilities through innovation and continuous improvement

Requirements

What you’ll need

University/college degree typically required, or comparable combination of education, job-specific certification(s), and experience may be considered in lieu of a degree
5+ years of industry-relevant experience
Advanced proficiency in Python and SQL
Experience with Pandas, NumPy, Scikit-learn, PySpark, TensorFlow, or similar technologies
Experience with large-scale data environments, Hadoop-based platforms, distributed data processing frameworks, and enterprise data ecosystems
Experience using GitHub or other source control platforms
Experience with machine learning, statistical modeling, predictive analytics, and data science methodologies
Experience with NLP, text analytics, document intelligence, topic modeling, and unstructured data
Experience developing, validating, deploying, and monitoring production analytics or machine learning solutions
Familiarity with Artifactory, Conda, pip, or similar package, dependency, and artifact management tools
Familiarity with Power BI, Tableau, or similar data visualization tools
Strong problem-solving and critical-thinking capabilities
Ability to influence stakeholders and communicate across technical and business audiences
Ability to manage multiple priorities and deliver high-quality solutions in a dynamic environment
Strong collaboration skills and passion for mentoring and developing others
Generative AI, LLMs, prompt engineering, RAG, AI agents, or related technologies preferred
Understanding of AI governance, model risk management, and responsible AI practices preferred
No required certifications or licenses
No required or preferred language assessments
Must not require employment visa sponsorship; PNC will not participate in STEM OPT

Benefits

Comp & perks

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 plan
Stock purchase plan
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 and years of service
Incentive-eligible compensation based on company, business, and/or individual performance