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PNC is seeking a Data Scientist for its Data & Automation - AI Governance & Oversight team, based in Pittsburgh PA, Strongsville OH, Dallas TX, or Birmingham AL. You will perform analytical tasks on large datasets, develop ML models, and help govern AI initiatives.
The role requires collaboration with Legal, Ethics, HR, Risk, and Technology; experience with Python, Tableau, Power BI; and the ability to present insights to senior leadership.
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.
R235874
As a Data Scientist in PNC's Data & Automation - AI Governance & Oversight organization, you will be based in Pittsburgh PA, Strongsville OH, Dallas TX, or Birmingham AL.
In this role your key responsibilities will include, but are not limited to:
Candidates must be proficient in Microsoft Suite, with a proficiency in Python, Tableau, and Power BI preferred.
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.
PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be:
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.
AI Risk Management, Analytical Thinking, Artificial Intelligence (AI), Competitive Advantages, Data Analytics, Data Mining, Data Science, Machine Learning (ML)
Data Architecture, Data Mining, Disruptive Innovation, Information Capture, Machine Learning, Modeling: Data, Process, Events, Objects, Prototyping, Query and Database Access Tools
Roles at this level typically require a university / college degree, with 3+ years of relevant / direct industry experience. Certifications are often desired. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered.
Masters