Data Scientist Lead - Balance Sheet Analytics & Modeling

One PNC Plaza (PA370), United States

PNC

PNC Bank offers a wide range of personal banking services including checking and savings accounts, credit cards, mortgage loans, auto loans and much more.

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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 a Data Scientist Lead within PNC's Balance Sheet Analytics & Modeling organization, you may be based in Pittsburgh or Philadelphia, PA, Cleveland, OH, Tysons, VA, New York City, Wilmington, DE, Dallas or Houston, TX. This position is primarily based in a PNC location. Responsibilities require time in the office or in the field on a regular basis. Some responsibilities may be performed remotely, at manager's discretion.

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 plus

Job 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 required certifications/licensures needed to be successful in this position.

Preferred Skills

Analytical Thinking, Competitive Advantages, Data Analytics, Data Mining, Data Science, Machine Learning

Competencies

Data Architecture, Data Mining, Disruptive Innovation, Information Capture, Machine Learning, Modeling: Data, Process, Events, Objects, Prototyping, Query and Database Access Tools

Work Experience

Roles 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.

Education

Masters

Certifications

No Required Certification(s)

Licenses

No Required License(s)

Pay Transparency

Base Salary: $80,000.00 – $209,300.00

Salaries may vary based on geographic location, market data and on individual skills, experience, and education. This role is incentive eligible with the payment based upon company, business and/or individual performance.

Application Window

Generally, this opening is expected to be posted for two business days from 02/18/2025, although it may be longer with business discretion.

Benefits

PNC offers a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include: 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, including select programs fully paid; a robust wellness program with financial incentives.

In addition, PNC generally provides the following paid time off, depending on your eligibility: maternity and/or parental leave; up to 11 paid holidays each year; 8 occasional absence days each year, unless otherwise required by law; between 15 to 25 vacation days each year, depending on career level; and years of service.

To learn more about these and other programs, including benefits for full time and part-time employees, visit Your PNC Total Rewards.

Disability Accommodations Statement

If an accommodation is required to participate in the application process, please contact us via email at AccommodationRequest@pnc.com. Please include “accommodation request” in the subject line title and be sure to include your name, the job ID, and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses.  Applicants may also call 877-968-7762 and say "Workday" for accommodation assistance. All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.


At PNC we foster an inclusive and accessible workplace.  We provide reasonable accommodations to employment applicants and qualified individuals with a disability who need an accommodation to perform the essential functions of their positions.

Equal Employment Opportunity (EEO)


PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law.

California Residents

Refer to the California Consumer Privacy Act Privacy Notice to gain understanding of how PNC may use or disclose your personal information in our hiring practices.

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Tags: APIs Architecture BERT Big Data Computer Science Data Analytics Data Mining Engineering Machine Learning Mathematics ML models NLP PhD Privacy Prototyping Python Spark SQL Statistics Teaching Unstructured data

Perks/benefits: 401(k) matching Career development Competitive pay Equity / stock options Health care Insurance Medical leave Parental leave Team events Wellness

Region: North America
Country: United States

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