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Associate Data Scientist - Data and Automation - (Machine Learning, Python, SQL, API, Shiny/Streamlit)
PNCTwo PNC Plaza (PA374), United States, United Statesfull_timeVerifiedPosted 15 Apr 2025
About the role
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 an Associate Data Scientist within PNC's Data and Automation organization, you will be based in Pittsburgh, PA.Responsibilities include:
• Developing machine learning/predictive models end-to-end (data preparation, modeling and evaluation, presentation, deployment)
• Presenting results to stakeholders
• Deriving insights from data (e.g., Python/SQL)
• Deploying models via multiple pathways (batch, API, Shiny/Streamlit, etc.)
PNC will not provide sponsorship for employment visas or participate in OPT or STEM OPT for this position.
Job Description
- Supports the team with 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.
- Supports the team in developing algorithms using advanced mathematical and statistical techniques like machine learning to predict business outcomes.
- Assists with 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.
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 certifications/licensures needed to be successful in this position.
Preferred Skills
Analytical Thinking, Competitive Advantages, Data Analytics, Data Mining, Data Science, Machine LearningCompetencies
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