Role Overview
As a Data Scientist within PNC’s Data, Modeling, and Analytics organization, you will perform analytical tasks on vast amounts of structured and unstructured data to extract actionable business insights. You will participate in data gathering, data processing, and data mining of large and complex datasets. You will develop algorithms using advanced mathematical and statistical techniques like machine learning to predict business outcomes and recommend optimal actions to management.
What You Will Do
You will run analytical experiments in a methodical manner to find opportunities for product and process optimization. You will assist in the presentation of business insights to management using visualization technologies and data storytelling.
Why It Might Be a Fit
You will partner with Data Architects, Data Analysts, Data Engineers, and Visualization Experts to develop data-driven solutions for the business. You will be expected to be customer-focused, managing risk, and able to leverage information in creating customized customer solutions.
Requirements
- Analytical Thinking
- Competitive Advantages
- Data Analytics
- Data Mining
- Data Science
- Machine Learning (ML)
- Data Architecture
- Disruptive Innovation
- Information Capture
- Machine Learning
- Modeling: Data, Process, Events, Objects, Prototyping, Query and Database Access Tools
Benefits
- Medical/prescription drug coverage (with a Health Savings Account feature)
- Dental and vision options
- Employee and spouse/child life insurance
- Short and long-term disability protection
- 401(k) with PNC match
- Pension and stock purchase plans
- Dependent care reimbursement account
- Back-up child/elder care
- Adoption, surrogacy, and doula reimbursement
- Educational assistance
- Robust wellness program with financial incentives
- Maternity and/or parental leave
- Up to 11 paid holidays each year
- 9 occasional absence days each year
- Between 15 to 25 vacation days each year, depending on career level
To apply for this job please visit pnc.wd5.myworkdayjobs.com.

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