To advance the data science capabilities of analytics teams and provide thought leadership around data science activities both internally and externally at PNC
Requirements
- Analytical Thinking
- Data Analytics
- Data Mining
- Data Science
- Machine Learning
- Data Architecture
- Modeling: Data, Process, Events, Objects
- Prototyping
- Query and Database Access Tools
Responsibilities
- Directs and consults on 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
- Supervises the implementation of advanced analytics projects
- Partners with Data Architects, Data Analysts, Data Engineers and Visualization Experts to develop data-driven solutions for the business
- Provides deep technical expertise to advance the data science capabilities of analytics teams
- Helps other data scientists present the analytical processes and outcomes to management
Other
- Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions
- 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
- Masters degree, PhD, or certifications is desirable
- Industry relevant experience is typically 8+ years
