Data Scientist - Marketing & Customer Analytics

PNC Financial Services Group, Inc.; Pittsburgh, Northern (Allegheny County, KY); Hybrid; USD 95,000 - 173,000; Full time

Benefits offered by this job

Health insurance

Dental and vision insurance

401(k) with company match

Life insurance

Disability protection

Educational assistance

Wellness program

Job summary

PNC Financial Services Group, Inc. is seeking a Data Scientist - Marketing Valuations to build and refine valuation analytics and statistical models for marketing decisions.

You will analyze customer, offer, and channel economics to guide prioritization and investments. The role combines strong analytical skills with expertise in statistical modeling, data analysis, and effective communication to stakeholders across marketing and finance.

Qualifications

• Bachelor's degree in a quantitative field; advanced degree preferred.
• Experience in data science, analytics, modeling, or marketing analytics.
• Familiarity with marketing valuation concepts such as CLV and offer economics.
• Proficiency in Python and SQL; exposure to cloud platforms and big data tech like Spark/Hadoop.

Responsibilities

• Develop, maintain, and apply valuation and forecasting models (NPV, CLV, offer economics) for marketing decisions.
• Apply statistical techniques to measure performance and evaluate trade-offs.
• Analyze customer and marketing data to identify trends and provide actionable recommendations.
• Support end-to-end analytical process including data prep, modeling, validation, and monitoring.
• Collaborate with marketing, finance, and data teams to implement recommendations.

Skills

Analytical Thinking

Data Analytics

Data Mining

Data Science

Machine Learning

Communication

Education

Bachelor's degree in quantitative field

Master's degree preferred

Tools

Python

SQL

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.

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.

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

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

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. 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.

For nearly 160 years, PNC has strived to make a meaningful impact for our employees, customers, communities, and shareholders. We believe our success and positive reputation are built on open and honest dialogue, an unwavering focus on smart risk management, relationship‑based customer service and community investments. Our inclusive workplace allows our employees to be heard, valued, and developed to do their best work. Being a great place to work means we are making a lasting difference for everyone we serve.

Check out the top reasons to join PNC

PNC’s total rewards package includes things like time off, benefits, learning and career development, wellness programs, recognition and much more. The benefits and programs highlighted below are just a sampling of what PNC offers its employees.