PNC Data Scientist Lead - Balance Sheet Analytics & Modeling 

United States, Pennsylvania, Pittsburgh 

202712221

Preferred Experience:• Master’s degree in data science, computer science, engineering, applied mathematics or a related field. A PhD degree is preferred, but not required.
• At least 5 years of experience with direct data science or machine learning projects in industry, with 2+ years, specifically in NLP.
• Strong background in Mathematics and Statistics.
• Very strong expertise in data collection, cleaning, preprocessing, and transforming of data.
• Expert programming skills in Python, Spark, and SQL.
• Experience with big data platforms.
• Experience in transfer learning and in fine tuning open-sourced transformer models like BERT.
• Ability to collaborate within and between cross-functional teams; excellent verbal and written communication skills; effectively communicate technical concepts and results to both technical and business audiences
• API experience preferred
• Curious, hardworking, and detail-oriented, and motivated by complex analytical problems.
• Experience with cloud-native model development and deployment preferred.
• Experience managing and/or mentoring technical individual contributors
• Enjoys teaching, mentoring, and building relationships with business partners across the organization
• Prioritizes pace over perfection and is comfortable in the face of changing circumstances and business priorities
• Excited by the prospect of delivering value through the application of emerging technologies and techniques.
• Previous experience in financial services industry is not required but is considered a plusJob Description

• Directs and consults on analytical projects that leverage vast amounts of structured and unstructured data to extract actionable business insights.
• Directs the data gathering, data processing and data mining of large and complex datasets. Provides deep technical expertise to advance the data science capabilities of analytics teams.
• Serves as a representative of PNC; understands the needs and challenges PNC is facing and provides thought leadership around data science activities both internally and externally.
• Supervises the implementation of advanced analytics projects, and as an expert in the field, helps other data scientists present the analytical processes and outcomes to management.
• Partners 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 requiredneeded to be successful in this position.

Analytical Thinking, Competitive Advantages, Data Analytics, Data Mining, Data Science, Machine LearningData Architecture, Data Mining, Disruptive Innovation, Information Capture, Machine Learning, Modeling: Data, Process, Events, Objects, Prototyping, Query and Database Access ToolsRoles at this level typically require a university / college degree. Higher level education such as a Masters degree, PhD, or certifications is desirable. Industry relevant experience is typically 8+ years. Specific certifications are often required. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered.No Required Certification(s)No Required License(s)
California Residents

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