Data Scientist - Marketing & Customer Analytics

PNC; Pittsburgh (Allegheny County); On-site; USD 95,000 - 173,000; Full time

Benefits offered by this job

Medical/dental/vision coverage

401(k) with PNC match

Paid holidays

Parental leave

Education assistance

Job summary

PNC invites applications for a Data Scientist - Marketing Valuations based in Pittsburgh, PA, Tysons Corner, VA, or Wilmington, DE. You will develop valuation analytics, CLV, and offer economics to guide marketing investments.

The role requires strong statistics, Python and SQL, and collaboration with cross-functional teams. 3+ years of data science experience and a Masters; familiarity with marketing analytics is preferred.

Qualifications

• Bachelor's degree or higher in a quantitative field; Masters preferred.
• 3+ years of data science, analytics, or related experience.
• Familiarity with marketing valuation concepts and measurement.
• Strong Python and SQL; exposure to cloud platforms a plus.

Responsibilities

• Develop valuation and forecasting models (NPV, CLV, offer economics) for marketing.
• Apply statistical techniques to measure performance and guide decisions.
• Analyze customer and marketing data to identify trends and opportunities.
• Support end-to-end analytical processes from data prep to reporting.
• Collaborate with marketing, finance, and data teams to implement recommendations.

Skills

Python

SQL

Data Science

Machine Learning

Communication

Problem Solving

Education

Masters

Tools

Spark

Hadoop

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 within PNC's Data, Modeling & Analytics Marketing & Customer Analytics organization, you will be based in Pittsburgh, PA, Tysons Corner, VA or Wilmington, DE.

Job Profile

R233750

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 within PNC's Data, Modeling & Analytics Marketing & Customer Analytics organization, you will be based in Pittsburgh, PA, Tysons Corner, VA or Wilmington, DE.

Role Overview

The Data Scientist - Marketing Valuations will support profitable growth by developing, enhancing, and applying valuation analytics and statistical models to inform marketing decisions.

This role focuses on analyzing customer, offer, and channel economics to generate insights that help guide prioritization, optimization, and investment decisions across marketing initiatives.

The ideal candidate combines strong analytical and problem-solving skills with a solid foundation in statistical modeling and data analysis.

Key Responsibilities

• Valuation Modeling & Forecasting: Assist in the development and maintenance of valuation and forecasting models, including Net Present Value (NPV), Customer Lifetime Value (CLV), and Offer Economics models to support marketing budget and investment decisions.
• Apply statistical and analytical techniques to measure performance, estimate incremental impact, and evaluate business trade-offs.
• Business Analysis & Insights: Analyze customer and marketing data to identify trends, evaluate opportunities, and provide actionable recommendations.
• Analytical Execution: Support the end-to-end analytical process, including data preparation, exploratory analysis, model development, validation, and performance monitoring.
• Cross-functional Collaboration: Partner with marketing, finance, and data teams to understand business needs, communicate analytical findings, and support implementation of valuation-based recommendations.

Preferred Skills And Experience

• Bachelor's degree in a quantitative field such as mathematics, statistics, economics, data science, engineering, or a related discipline. Advanced degree preferred.
• Experience in data science, advanced analytics, quantitative modeling, marketing analytics, or a related field.
• Familiarity with marketing valuation concepts, including customer lifetime value, offer economics, marketing measurement, or related analytical methodologies.
• Proficiency in Python and SQL. Exposure to cloud platforms and big data technologies such as Spark or Hadoop is a plus.
• Strong communication skills with the ability to explain analytical results to both technical and non-technical stakeholders.
• Strong attention to detail and commitment to delivering high-quality work.

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

• Performs analytical tasks on vast amounts of structured and unstructured data to extract actionable business insights.
• Participates in the data gathering, data processing and data mining of large and complex datasets.
• Develops algorithms using advanced mathematical and statistical techniques like machine learning to predict business outcomes and recommend optimal actions to management.
• Runs analytical experiments in a methodical manner to find opportunities for product and process optimization. Assists in the presentation of business insights to management using visualization technologies and data storytelling.
• May partner 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 3+ years of relevant / direct industry experience. Certifications are often desired. 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: $94,875.00 – $172,500.00

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 09/02/2026, although it may be longer with business discretion.

Benefits

• 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.
• 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
• years of service

Disability Accommodations Statement

If an accommodation is required to participate in the application process, please contact us via email at [e-mail]. 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.

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.

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.