As a Data Scientist within PNC's Data and Automation organization, the role aims to extract actionable business insights from vast amounts of structured and unstructured data, develop predictive algorithms, and optimize products and processes.
Requirements
- Natural Language Processing (NLP)
- PyTorch / Tensorflow
- Small / Large Language Model Experience
- Prompt Engineering
- MS Azure or AWS experience
- Data Analytics
- Data Mining
- Data Science
- Machine Learning
- Data Architecture
- Modeling: Data, Process, Events, Objects
- Prototyping
- Query and Database Access Tools
Responsibilities
- 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.
Other
- 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.
- Roles at this level typically require a university / college degree, with 3+ years of relevant / direct industry experience.
- Masters
- No Required Certification(s)
