Data Scientist Senior - Modeling & Customer Analytics

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 Senior. within PNC's Modeling & Customer Analytics organization, you will be based in Pittsburgh, PA; Cleveland, OH; East Brunswick, NJ; or Tyson's Corner, VA. Job Summary: PNC is seeking a highly motivated Data Scientist Senior to join the Modeling & Customer Analytics organization. This role will focus on supporting analytics initiatives across Branch Banking, Customer Care Center, and Customer Analytics functions, leveraging advanced analytics, statistical techniques, and large-scale data processing to drive business insights and decision-making. The ideal candidate will possess strong programming expertise in Python and PySpark, experience working with large datasets, and the ability to communicate complex analytical findings to both technical and non-technical stakeholders. This position will partner closely with business leaders and technology teams to develop predictive models, conduct ad hoc analyses, support test-and-learn initiatives, and deliver actionable insights that improve customer and business outcomes. Required Qualifications: • Bachelor's degree with 5+ years of relevant experience in Data Science, Analytics, Statistics, Mathematics, Computer Science, Engineering, or a related quantitative field; OR Master's degree with 3+ years of relevant experience. • Strong experience in Data Science, Business Analytics, or Advanced Analytics roles. • Advanced programming skills in Python, PySpark, SQL, or JupyterHub/Jupyter Notebook environments • Experience working in Linux environments. • Experience with big data platforms, including Teradata and large-scale data processing frameworks. • Strong statistical, analytical, and mathematical problem-solving skills. • Experience developing predictive models and performing forecasting, and Clustering/Segmentation Analysis • Experience conducting ad hoc analyses and translating data into business recommendations. • Ability to communicate complex analytical concepts effectively to business stakeholders, technical teams, and non-technical audiences. • Experience developing data visualizations and dashboards using Tableau and/or Power BI. • Strong coding, analytical, and communication skills. Preferred Qualifications: • Experience within the Banking or Financial Services industry. • Experience supporting customer analytics, branch banking analytics, or contact center analytics functions. • Knowledge of customer behavior modeling and business performance measurement. • Familiarity with experimental design, A/B testing, and test-and-learn methodologies. • Experience working with cross-functional teams in large enterprise environments. 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 Leads the implementation of analytical projects that leverage vast amounts of structured and unstructured data to extract actionable business insights. Directs the data gathering, data processing and data mining of large and complex datasets. Leads the development of algorithms using advanced mathematical and statistical techniques like machine learning to predict business outcomes and recommend optimal actions to management. Leads analytical experiments in a methodical manner to find opportunities for product and process optimization. Presents business insights to management using visualization technologies and data storytelling. Partners 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 5+ years of industry-relevant experience. Specific certifications are often required. 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: $91,000.00 – $202,800.00 Salaries may vary based on geographic location, market data and on individual ski