Be part of something brilliant.
PNC Bank Logo

PNC Bank

Data Scientist Senior--People Analytics & Quantitative Insights

Posted 20 Days Ago
Be an Early Applicant
Hybrid
Pittsburgh, PA
Senior level
Hybrid
Pittsburgh, PA
Senior level
Leads people analytics and quantitative insights initiatives using statistical analysis, machine learning, data modeling, and visualization. Analyzes complex workforce datasets, develops predictive algorithms and dashboards, identifies optimization opportunities, and communicates actionable recommendations to technical and business stakeholders. The role manages multiple analytical projects and partners with data architects, engineers, analysts, and visualization experts. It requires a master’s degree and typically five or more years of relevant experience.
The summary above was generated by AI

Job Profile

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 Human Resources organization, you will be based in Pittsburgh, PA.
Responsibilities include, but are not limited to:
•Partner with business stakeholders to identify analytical opportunities, applying quantitative methods and statistical reasoning to interpret workforce data and develop data-driven solutions that inform strategic and operational decision making.
•Utilize statistical analysis, data modeling, and data visualization techniques to design and deliver analyses and dashboards that quantify relationships between HR metrics and business outcomes.
•Manage and prioritize multiple analytical initiatives, balancing complex data requests, evolving business needs, and competing deadlines in a fast-paced environment.
•Analyze large, complex datasets and model outputs using tools such as SAS, Python, or R, translating results into actionable insights and recommendations, and communicating findings effectively to both technical and non-technical audiences.

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 SkillsAnalytical Thinking, Competitive Advantages, Data Analytics, Data Mining, Data Science, Machine Learning (ML)

CompetenciesData Architecture, Data Mining, Disruptive Innovation, Information Capture, Machine Learning, Modeling: Data, Process, Events, Objects, Prototyping, Query and Database Access Tools

Work ExperienceRoles 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.

EducationMasters

CertificationsNo Required Certification(s)

LicensesNo Required License(s)

Language Assessments
No Required or Preferred Language Assessments

  

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 [email protected]. 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.

Similar Jobs at PNC Bank

Yesterday
Hybrid
86K-158K Annually
Mid level
86K-158K Annually
Mid level
Machine Learning • Payments • Security • Software • Financial Services
Build and deploy intelligent agents, automation solutions, and internal tools using Copilot, generative AI, statistical analysis, and machine learning. Prepare data pipelines, analyze structured and unstructured datasets, integrate solutions with business platforms, and continuously monitor and improve deployed agents. Partner with stakeholders to identify automation opportunities, develop data-driven insights, and communicate recommendations through visualization and storytelling.
Top Skills: CopilotGenerative AiMachine LearningMicrosoft Power PlatformPower AppsPower AutomatePower BI
Yesterday
Hybrid
Senior level
Senior level
Machine Learning • Payments • Security • Software • Financial Services
Leads strategy, financial results, and execution for small-business payment product portfolios. Oversees product development, customer experience initiatives, stakeholder alignment, regulatory and audit responses, risk management, and external relationships. Manages product lines and product development leaders, driving innovation, operational improvements, and successful delivery of new or enhanced products within budget and timeline.
Yesterday
Hybrid
Senior level
Senior level
Machine Learning • Payments • Security • Software • Financial Services
Supports corporate physical security through threat monitoring, intelligence analysis, investigations, executive travel assessments, background investigations, and intelligence reporting. The role evaluates threats to employees, facilities, executives, and business operations; provides briefings and recommendations to security leadership; collaborates with physical security, executive protection, crisis management, and incident response teams; and participates in rotational after-hours on-call coverage.
Top Skills: ExcelMicrosoft Office SuiteOpen Source Intelligence (Osint) PlatformsOutlookPowerPointWord

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account