Associate Computer Science Jobs in Leeds, AL (NOW HIRING)

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(n) [position title] within PNC's [name of division] organization, you will be based in [city/state location of position].
Job Profile
Position OverviewAt 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 Associate Data Scientist within PNC's Corporate & Institutional Banking organization, you will be based in Pittsburgh, or Philadelphia, PA; Cleveland, OH; Birmingham, AL; Houston, TX; or Charlotte, NC.
Job Summary:
PNC is seeking an Associate Data Scientist to join the Corporate and Institutional Banking (C&IB) team. In this role, you will partner with senior data scientists, business stakeholders, and engineering teams to explore data, perform analysis, and support the development and delivery of analytical solutions to address business problems and support C&IB growth objectives. The team’s work spans key business verticals including Sales, Credit and Underwriting, and Operations, providing opportunities to build foundational experience applying analytics across the full lifecycle of client engagement and operational decision-making.
The ideal candidate has strong analytical problem-solving skills, foundational experience in data analysis and machine learning, and is eager to learn how to translate business needs into scalable analytical solutions under guidance.
Key Responsibilities:
• Use Python or R to explore data, perform analysis, and contribute to prototyping analytical approaches within established workflows.
• Support the development, validation, and monitoring of interpretable machine learning models using sound statistical and modeling techniques.
• Contributes to the delivery of analytical solutions from prototype through testing and deployment, working closely with senior team members and engineering partners.
• Support communication across business, product, and engineering teams by helping gather requirements and clearly explain analytical work and results.
• Assist in defining and tracking performance metrics to measure solution effectiveness.
• Actively learn and adopt best practices in model development, code quality, and production deployment.
Required Experience & Skills:
• 1-2 years of relevant professional experience in data science, analytics, or a related field (including internships/co-ops), or equivalent academic experience.
• Proficiency in Python or R.
• Strong SQL skills and experience working with large datasets.
• Exposure to big data tools (e.g. Spark).
• Familiarity with Git or version control concepts.
• Machine Learning: Foundational understanding of machine learning concepts, including feature engineering and basic model evaluation.
• Generative AI: Exposure to Generative AI concepts and tools.
• Exposure to delivery artifacts such as business requirements, user stories, or test cases.
• Experience supporting testing or validation of analytical solutions.
• Ability to design and develop dashboards to communicate, visualize, and monitor analytical results using Python or R–based frameworks (e.g. R Shiny, Dash, Flask)
Preferred Experience & Skills:
• Exposure to business domains such as credit, accounting, or financial operations.
• Familiarity with underwriting concepts or a willingness to learn them on the job.
• Interest in working across multiple business areas
Education:
• Bachelor’s degree in a quantitative field (Computer Science, Data Science, Machine Learning, Mathematics, Statistics)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

• 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 SkillsAnalytical Thinking, Competitive Advantages, Data Analytics, Data Mining, Data Science, Machine Learning (ML)CompetenciesData Architecture, Data Mining, Disruptive Innovation, Information Capture, Machine Learning, Modeling: Data, Process, Events, Objects, Prototyping, Query and Database Access ToolsWork ExperienceRoles at this level typically require a university / college degree, with 2+ years of relevant professional experience. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered.EducationBachelors (Required)CertificationsNo Required Certification(s)LicensesNo Required License(s)Pay TransparencyBase Salary: $75,000.00 – $150,000.00Salaries 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 WindowGenerally, this opening is expected to be posted for two business days from 06/15/2026, although it may be longer with business discretion.BenefitsPNC 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 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.

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.

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