Associate Data Scientist

R204271

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 an Associate Data Scientist within PNC's Balance Sheet Analytics & Modeling Marketing & Customer Analytics organization, you will be based in you will be based in Pittsburgh or Philadelphia, PA, Cleveland, OH, Charlotte, NC, Wilmington, DE, Dallas or Houston, TX and Tysons, VA. This position is primarily based in a PNC location. Responsibilities require time in the office or in the field on a regular basis.

Our marketing team is at the forefront of this mission, leveraging data to create personalized and effective campaigns that drive customer engagement and business growth. We are seeking a skilled and passionate Associate Data Scientist to join our team and build the data infrastructure that powers our marketing intelligence.

Job Responsibilities
As an Associate Data Scientist for the Marketing and Customer Analytics Data Enablement team, you will be a key player in building and maintaining the data pipelines that enable our marketing team to make data-driven decisions. You will work closely with marketing analysts, data scientists, and business stakeholders to understand their data needs and translate them into robust, scalable, and reliable data solutions. Your work will directly impact our ability to understand customer behavior, optimize campaign performance, and personalize our communication.

Job Duties

• Design & Development: Build, test, and maintain robust data pipelines and ETL/ELT processes to ingest, transform, and load data from various sources (e.g., customer databases, marketing platforms, digital channels, third-party data providers) into our data warehouse.
• Data Modeling: Collaborate with marketing and analytics teams to design and implement efficient data models that support reporting, ad-hoc analysis, and machine learning initiatives.
• Infrastructure Management: Help design, manage and optimize our data infrastructure, including data warehouses, data lakes, and data orchestration tools (e.g., Airflow).
• Data Quality & Governance: Implement processes and tools to ensure data accuracy, consistency, and reliability. Monitor data pipelines for issues and proactively resolve them. Establish and maintain data governance best practices within the marketing data ecosystem.
• Performance Optimization: Optimize queries and data structures to improve the performance and efficiency of data access for analysts and data scientists.
• Collaboration: Partner with cross-functional teams, including product, engineering, and compliance, to ensure data is handled securely and in accordance with banking regulations.
• Innovation: Stay current with the latest data engineering technologies and methodologies and propose new solutions to improve our data platform.

Preferred Skills And Experience

• 2+ years of experience as a Data Scientist, with a strong preference for experience in a marketing or financial services context.
• Strong proficiency in Python, SQL and Spark is essential.
• Hands-on experience with modern cloud data warehouses like Snowflake, Big Query, or Amazon Redshift.
• Experience building and managing ETL/ELT pipelines using tools like Apache Airflow, or similar technologies.
• Experience with at least one major cloud provider (AWS, or Azure).
• Solid understanding of data modeling principles (e.g., star schema, snowflake schema).
• Excellent problem-solving skills and attention to detail.
• Strong communication and interpersonal skills, with the ability to explain complex technical concepts to non-technical stakeholders.
• A proactive and collaborative attitude, with a passion for building data solutions that deliver real business value.
• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field
• Experience with real-time data streaming technologies (e.g., Kafka, Kinesis).
• Familiarity with marketing platforms and their APIs (e.g., Adobe Analytics, Salesforce Marketing Cloud, Google Ads).
• Knowledge of machine learning concepts and experience building data pipelines for ML models.
• Familiarity with financial industry regulations and data security best practices.

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 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, 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.

Education
Bachelors (Required)

Certifications
No Required Certification(s)

Licenses
No Required License(s)

Pay Transparency
Base Salary: $45,000.00 – $103,500.00

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 10/28/2025, 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 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 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.