Data Scientist – Marketing, Customer Analytics

• Develop, enhance, and apply valuation analytics and statistical models to inform marketing decisions
• Analyze customer, offer, and channel economics to guide prioritization, optimization, and investment decisions
• Develop and maintain NPV, CLV, and Offer Economics valuation and forecasting models
• Apply statistical and analytical techniques to measure performance, estimate incremental impact, and evaluate business trade-offs
• Analyze customer and marketing data to identify trends, evaluate opportunities, and provide actionable recommendations
• Support data preparation, exploratory analysis, model development, validation, and performance monitoring
• Partner with marketing, finance, data, architecture, engineering, analytics, and visualization teams
• Present business insights to management using visualization technologies and data storytelling
• Develop algorithms using mathematical, statistical, and machine-learning techniques to predict business outcomes and recommend actions
• Run analytical experiments to identify product and process optimization opportunities

• Bachelor's degree in a quantitative field such as mathematics, statistics, economics, data science, engineering, or a related discipline
• 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
• Strong communication skills with the ability to explain analytical results to technical and non-technical stakeholders
• Strong attention to detail and commitment to delivering high-quality work
• 3+ years of relevant/direct industry experience typically required at this level
• In lieu of a degree, a comparable combination of education, job-specific certification(s), and experience may be considered
• No required certifications
• No required licenses
• PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position

Demonstrates expertise in developing and applying valuation analytics, statistical models, and machine-learning techniques to inform marketing decisions and optimize business outcomes. Proficient in data analysis, visualization, and communication of insights to both technical and non-technical stakeholders.

• Python Proficiency
• SQL Proficiency
• Valuation Analytics
• Statistical Modeling
• Marketing Analytics

• Valuation Analytics
• Statistical Modeling
• Data Analysis
• Machine Learning
• Quantitative Modeling
• Forecasting Models
• Data Preparation
• Performance Monitoring
• Exploratory Analysis
• Analytical Experimentation

• Strong Communication Skills
• Attention to Detail

• Customer Lifetime Value
• Offer Economics
• Marketing Measurement
• Data Science
• Advanced Analytics

• Visualization Technologies