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 Technology organization, you will be based in Pittsburgh, PA, Strongsville, OH, Dallas, TX or Birmingham, AL.
We are seeking a versatile and forward-thinking professional to join our team as a Data Scientist Senior / Data Analyst. This role combines the analytical rigor of a Data Analyst with the predictive modeling and experimentation capabilities of a Data Scientist. You will lead data-driven initiatives that span from data acquisition and cleansing to advanced algorithm development.
Data Strategy & Management
Design and implement data acquisition, integration, and archival strategies.
Ensure data integrity, availability, and security across multiple sources and formats.
Structure logical storage environments and map database elements for optimal performance.
Analytical Execution
Lead analytical projects using structured and unstructured data to uncover actionable insights.
Direct data gathering, processing, and mining of large, complex datasets.
Develop and deploy machine learning models and statistical algorithms to predict outcomes and optimize decisions.
Visualization & Communication
Present insights using advanced visualization tools and data storytelling techniques.
Conduct promotional and awareness sessions to drive data literacy and adoption across teams.
Collaboration & Leadership
Partner with Data Architects, Engineers, Analysts, and Visualization Experts to deliver end-to-end solutions.
Mentor junior team members and contribute to a culture of experimentation and continuous learning.
Align analytics initiatives with business goals and stakeholder needs.
Data & Analytics Data ingestion, transformation, integration, statistical modeling
Business Expertise Domain-specific knowledge, business objectives, strategic alignment
IT Skills SQL, Python, SAP S4 HANA, Cloudera, and data visualization tools (e.g., Power BI, Tableau), cloud platforms (Azure, AWS) and big data technologies (e.g., Spark, Hadoop), AI Tools
Soft Skills Collaboration, storytelling, curiosity, creativity
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
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)
Pay Transparency
Base Salary: $65,000.00 - $186,940.00
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 11/06/2025, 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; 8 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 Your PNC Total Rewards (http://yourpnctotalrewards.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 (https://content.pncmc.com/live/pnc/aboutus/HR/Onboarding/PNC\CCPA\Privacy\Disclosure\Employee.pdf) to gain understanding of how PNC may use or disclose your personal information in our hiring practices.
