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 Retail Lending organization, you will be based at a HUB site within the PNC footprint, although it may not be available in all jurisdictions. Certain job responsibilities may require in-person, in office activities on a regular basis.

Specific responsibilities for this role include (but are not limited to):
• Lead efforts to increase team effectiveness in utilizing Python and Hadoop
• Use a variety of analytical techniques to extract usable information from various data sources, including customer, account, and transactional data sets.
• Participate in data set creation, analysis, model building, and model monitoring
• Represent the modeling team in various forums to inform senior executives and various team partners of progress on key modeling efforts
The successful candidate will have the following qualifications:
• Master’s degree in a quantitative field (e.g., Statistics, Mathematics, Economics, Computer Science, Engineering, Quantitative Psychology, Quantitative Political Science, MBA with a specialization in Analytics) with 3+ years of relevant work experience
• Experience executing complex queries and building large data sets using tools such as SAS, SQL, and Teradata.
• Strong communication skills that encompass writing, communicating, facilitating, and presenting cogently to and/or for all levels of audiences
• A demonstrated history of successfully managing several projects concurrently
• A demonstrated ability to develop strong relationships and partnerships within and outside of the organization
• A strong track record of successful development of complicated statistical models

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 certifi