Marketing Analytics & Valuation Scientist

PNC; Wilmington (DE); On-site; USD 95,000 - 173,000; Full time

Benefits offered by this job

Comprehensive benefits package

Job summary

PNC is seeking a Data Scientist in Marketing Valuations to support profitable growth by developing valuation analytics and statistical models. You will analyze customer, offer, and channel economics to guide marketing investments and prioritization.

You will collaborate with marketing, finance, and data teams to translate complex analyses into actionable recommendations and ensure rigorous validation and monitoring of models.

Qualifications

• 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.

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.

Skills

Python

SQL

Marketing analytics

Data science

Machine learning

Cloud platforms

Spark

Hadoop

Communication

Attention to detail

Education

Bachelor's degree in quantitative field

Advanced degree preferred

Tools

Spark

Hadoop

Job description

PNC is seeking a Data Scientist in Marketing Valuations to support profitable growth by developing valuation analytics and statistical models. You will analyze customer, offer, and channel economics to guide marketing investments and prioritization.

You will collaborate with marketing, finance, and data teams to translate complex analyses into actionable recommendations and ensure rigorous validation and monitoring of models.