PNC Financial Services Group
AI

Data Scientist - Balance Sheet Analytics Modeling

PNC Financial Services Group · Pittsburgh, PA, US · $55k - $148k

Actively hiring Posted 4 months ago

Job Profile

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 within PNC's Balance Sheet Analytics & Modeling Retail Banking Data Modeling organization, you will be based in Pittsburgh or Philadelphia, PA, Cleveland, OH, Wilmington, DE, Tysons Corner, VA or Charlotte, NC.

Preferred Skills & Experience:

  • Master’s degree in data science, computer science, engineering, applied mathematics or 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. Demonstrable mathematical inventiveness for novel problem solving (via probability, optimization, information theory, linear algebra)
  • Very strong expertise in data collection, cleaning, preprocessing, and transforming data.
  • Expert programming skills in Python, Spark, and SQL. Solid software practices (testing, packaging, CI). MLOps familiarity.
  • Experience with big data platforms. Experience with cloud-native model development and deployment preferred.
  • Research mindset reads/reproduces papers; designs baselines/ablations; evaluates for robustness, drift, and fairness. Meticulous about data quality, reproducibility, and experiment tracking.
  • Experience in transfer learning and in fine tuning open-source transformer models. Creative and pragmatic: chooses the simplest high‑impact approach (prompting, adapters, retrieval, distillation) before heavy training.
  • Practical NLP/LLM experience and awareness of evaluation pitfalls (hallucinations, prompt sensitivity, grounding).
  • Strong collaborator within and between cross-functional teams; excellent verbal and written communication skills; adapts communication to audience: effectively communicate technical concepts and results to both technical and business audiences
  • Curious, hardworking, detail-oriented, and action-oriented; motivated by complex analytical problems; investigates failure modes; documents learnings clearly.
  • 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.
  • Customer‑focused and risk‑aware; comfortable aligning work with governance expectations.

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.

Job Description

Performs 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.

Develops algorithms using advanced mathematical and statistical techniques like machine learning to predict business outcomes and recommend optimal actions to management.

Runs 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 Learning (ML)

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, 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.

Education Masters

Certifications No Required Certification(s)

Licenses No Required License(s)

Pay Transparency

Base Salary: $55,000.00 – $148,800.00

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 02/10/2026, 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; 9 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 pncthrive.com .

Disability Accommodations Statement

If an accommodation is required to participate in the application process, please contact us via email at [email protected] . 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.

This position is subject to the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA) and, for any registered role, the Secure and Fair Enforcement for Mortgage Licensing Act of 2008 (SAFE Act) and/or the Financial Industry Regulatory Authority (FINRA), which prohibit the hiring of individuals with certain criminal history.

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.

Tags & focus areas

Used for matching and alerts on DevFound
Fulltime Machine Learning Data Science Ai
Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.