AI Data Scientist Sr

PNC Bank • Pittsburgh, PA

1d • $65,000 - $165,370 • Onsite

About The Position

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 Sr within PNC's Technology organization, you will be based in Pittsburgh, PA, Cleveland, OH, Birmingham, AL or Dallas, TX. The position is primarily based in a PNC location. Responsibilities require time in the office or in the field on a regular basis. Some responsibilities may be performed remotely, at the manager’s discretion. PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position. Our team delivers high quality solutions by effectively and thoughtfully utilizing the power of AI, facilitating collaboration between business and technical stakeholders to identify and prioritize opportunities. We equip teams with the skills, tools and environments to manage increasing complexity, enabling their swift action on key business decisions. We enable AI based automation and data-driven decision making to optimize business processes, enabling teams to focus attention on higher value tasks Job Description Leads the implementation of analytical projects that leverage vast amounts of structured and unstructured data to extract actionable business insights. Directs the data gathering, data processing and data mining of large and complex datasets. Leads the development of algorithms using advanced mathematical and statistical techniques like machine learning to predict business outcomes and recommend optimal actions to management. Leads analytical experiments in a methodical manner to find opportunities for product and process optimization. Presents business insights to management using visualization technologies and data storytelling. Partners 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.

Requirements

• Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role.
• Roles at this level typically require a university / college degree, with 5+ years of industry-relevant experience.
• Specific certifications are often required.
• In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered.
• Masters

Nice To Haves

• Experience with production implementations that leverage generative AI and LLMs a plus
• Analytical Thinking
• Competitive Advantages
• Data Analytics
• Data Mining
• Data Science
• Machine Learning (ML)
• Data Architecture
• Data Mining
• Disruptive Innovation
• Information Capture
• Machine Learning
• Modeling: Data, Process, Events, Objects
• Prototyping
• Query and Database Access Tools

Responsibilities

• Internal client consultation to elicit and collect requirements, and communicate and align the technical team toward delivery
• Machine learning model solution design, build, orchestration and implementation
• Experience building solutions with model governance, risk management, and regulatory adherence at top of mind
• Substantial experience implementing production AI/ML solutions.
• Continuous support of models deployed to production applications
• Release planning, coordination, and hands on support throughout release windows
• Leads the implementation of analytical projects that leverage vast amounts of structured and unstructured data to extract actionable business insights.
• Directs the data gathering, data processing and data mining of large and complex datasets.
• Leads the development of algorithms using advanced mathematical and statistical techniques like machine learning to predict business outcomes and recommend optimal actions to management.
• Leads analytical experiments in a methodical manner to find opportunities for product and process optimization.
• Presents business insights to management using visualization technologies and data storytelling.
• Partners with Data Architects, Data Analysts, Data Engineers and Visualization Experts to develop data-driven solutions for the business.

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 .

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level