Data Scientist

PNC•Strongsville, OH

1d•$86,250 - $158,125•Onsite

About The Position

The Data Scientist will work within PNC’s Data and Automation organization and be based in Pittsburgh, Pennsylvania; Strongsville, Ohio; Dallas, Texas; Birmingham, Alabama; Lakewood, Colorado; or Phoenix, Arizona. The role combines traditional data science with generative AI, focusing on building, implementing, and operating intelligent agents, automation, and internal tools that improve team and departmental workflows. The position uses Copilot and related platforms to address business problems and improve access to data, analysis, and decision-making. The role performs analysis on large structured and unstructured datasets, including data gathering, processing, and mining. It develops algorithms using mathematical and statistical techniques such as machine learning to predict outcomes and recommend actions. It also conducts analytical experiments to identify opportunities for product and process optimization and supports the presentation of business insights through visualization and data storytelling. The Data Scientist may partner with data architects, analysts, engineers, and visualization experts to develop data-driven solutions. PNC describes itself as an in-office company and encourages candidates to discuss workplace expectations with their recruiter and hiring manager. The position is incentive eligible. PNC will not sponsor employment visas or participate in STEM OPT for this position.

Requirements

Experience building or implementing intelligent agents or automation solutions.
Familiarity with using Copilot to design, configure, or extend agent-based workflows.
Strong foundation in statistical analysis and data mining techniques.
Experience across data management and analytics use cases.
Familiarity with Microsoft Power Platform, including Power Automate, Power Apps, and Power BI.
Comfort working with structured and unstructured data sources.
Ability to translate business needs into automated, data-driven solutions.
Strong problem-solving skills and a practical, scalable implementation approach.
Typically, a university or college degree and 3 or more years of relevant or direct industry experience are required at this level; a comparable combination of education, job-specific certifications, and experience may be considered in lieu of a degree.
Master’s degree listed under Education.

Nice To Haves

Preferred skills include analytical thinking, competitive advantages, data analytics, data mining, data science, and machine learning.
Certifications are often desired, but no specific certification is required.

Responsibilities

Design, build, and deploy intelligent agents to automate team and departmental workflows.
Implement and extend agents using Copilot and related generative AI tools.
Develop internal tools and automation solutions that improve data access, analysis, and decision-making.
Apply statistical analysis and data mining techniques to support agent logic, insights, and recommendations.
Manage and prepare data pipelines for analytical and generative AI use cases.
Partner with stakeholders to identify opportunities for automation and agents to improve efficiency or scale.
Integrate agents and tools with existing platforms and business processes.
Monitor, tune, iterate on, and continuously improve deployed agents.
Document solutions and share best practices to support broader adoption across teams.
Gather, process, and mine large and complex datasets to extract actionable business insights.
Develop algorithms using mathematical and statistical techniques, including machine learning, to predict business outcomes and recommend actions.
Run analytical experiments to identify opportunities for product and process optimization.
Assist in presenting business insights to management using visualization technologies and data storytelling.
Partner as needed with Data Architects, Data Analysts, Data Engineers, and Visualization Experts to develop data-driven business solutions.
Focus on customer needs and satisfaction when making business decisions and creating customer solutions.
Assess and manage risks associated with business objectives and activities in support of PNC’s Enterprise Risk Management Framework.

Benefits

Medical and prescription drug coverage, including a Health Savings Account feature, subject to eligibility.
Dental and vision options.
Employee and spouse/child life insurance.
Short- and long-term disability protection.
401(k) with PNC match.
Pension plan.
Stock purchase plans.
Dependent care reimbursement account.
Back-up child and elder care.
Adoption, surrogacy, and doula reimbursement.
Educational assistance, including select fully paid programs.
Wellness program with financial incentives.
Maternity and/or parental leave, depending on eligibility.
Up to 11 paid holidays each year, depending on eligibility.
9 occasional absence days each year, unless otherwise required by law.
15 to 25 vacation days each year depending on career level and years of service, subject to eligibility.