Data Scientist - Marketing & Customer Analytics

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.
• 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.

Requirements

• 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.
• 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.

Preferred

• Analytical Thinking, Competitive Advantages, Data Analytics, Data Mining, Data Science, Machine Learning (ML)
• Proficiency in Python and SQL.
• Exposure to cloud platforms and big data technologies such as Spark or Hadoop is a plus.

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.