PNC is looking to leverage AI and data-driven decision-making to optimize business processes and enable teams to focus on higher-value tasks by implementing analytical projects that extract actionable business insights from large datasets.
Requirements
- Machine learning
- Data Analytics
- Data Mining
- Data Science
- Analytical Thinking
- Data Architecture
- Modeling: Data, Process, Events, Objects
Responsibilities
- Machine learning model solution design, build, orchestration and implementation
- Experience building solutions with model governance, risk management, and regulatory adherence at top of mind
- Substantial experience implementing production AI/ML solutions.
- Continuous support of models deployed to production applications
- Release planning, coordination, and hands on support throughout release windows
- Leads the implementation of analytical projects that leverage vast amounts of structured and unstructured data to extract actionable business insights.
- Leads the development of algorithms using advanced mathematical and statistical techniques like machine learning to predict business outcomes and recommend optimal actions to management.
Other
- Internal client consultation to elicit and collect requirements, and communicate and align the technical team toward delivery
- 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.
- PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position.
- The position is primarily based in a PNC location. Responsibilities require time in the office or in the field on a regular basis.
