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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist - Retail Banking (ML & Predictive Modeling) - **Company:** The PNC Financial Services Group, Inc. - **Location:** Tysons, VA, United States - **Experience:** Experienced - **Salary:** $86,250.0 - $172,500.0 - **Contract:** Permanent contract - **Skills:** Agile Methodology, Amazon Web Services, Big Data, Cloudera Impala, Data Architecture, Data Mining, Data Presentation, Relational Databases, Database Connection, Electronic Data Capture, Github, R (Programming Language), Apache Hadoop, Monitoring of Systems, Apache Hive, Python (Programming Language), PostgreSQL, Machine Learning, MySQL, Oracle (Applications), Standard Sql, SAS (Software), Teradata SQL, Unstructured Data, Data Processing, Model Validation, Pyspark, Information Technology, Data Analytics, Toad (Software), Machine Learning Operations, Software Version Control, Programming Languages - **Published:** October 9, 2026 - **Apply:** https://dejobs.org/x/x/E60FEFB364224AF49EAF6136E0D305DB/job/ ## About the Role * Bachelor's Degree in Statistics, Mathematics, Data Science, Computer Science, Economics, Finance, Engineering, or a related quantitative field. * 2-3 years of professional experience in data science, predictive analytics, statistical modeling, machine learning, or quantitative analysis. * Experience developing and implementing predictive models using large datasets. * Strong understanding of statistical modeling, machine learning techniques, and model performance evaluation. * Experience building and validating credit risk, retail banking, or customer analytics models. * Proficiency in one or more of the following programming languages: Python, R, or SAS * Experience with: PySpark, R Shiny, or SQL * Experience working with large-scale data environments and big data technologies, including Teradata, Hadoop, AWS, Impala, Hive, or Trino * Experience with relational database platforms such as: Oracle, MySQL, PostgreSQL, TOAD * Experience using GitHub or other version control platforms. * Strong communication and presentation skills with the ability to translate technical findings for non-technical audiences. Preferred Qualifications: * Master's Degree in a quantitative discipline. * Experience supporting Retail Banking, Consumer Banking, Risk Management, Credit Risk, or other Financial Services functions. * Experience with model governance, model risk management, and regulatory expectations within the banking industry. * Prior experience supporting EAD, PD, LGD, CECL, stress testing, or other risk modeling frameworks. * Knowledge of model deployment, model monitoring, and production support processes. * Experience working in Agile or cross-functional analytics environments. * Demonstrated ability to influence business decisions through advanced analytics and data storytelling. * Experience presenting analytical results to senior leadership and executive stakeholders., 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 ## Description 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 Retail Banking (ML & Predictive Modeling) organization, you will be based in Pittsburgh, PA; Cleveland, OH; Tyson's Corner, VA., We are seeking a highly analytical and technically skilled Data Scientist to support the development, evaluation, implementation, and optimization of advanced predictive models within Retail Banking. This role will focus on building machine learning and statistical models, designing and analyzing experiments, enhancing data-driven business strategies, and communicating actionable insights to business leaders and executive stakeholders. The ideal candidate combines strong predictive modeling expertise with hands-on experience working with large-scale data environments and modern programming languages. This position offers the opportunity to expand existing production modeling frameworks while partnering closely with risk, strategy, analytics, and business teams., * 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.