Job 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 Sr within PNC’s EDM ACC Data Science organization. This is a remote position. Work may be performed from a quiet, confidential space in a home location approved by PNC. This position may not be available in all geographical locations.

We are seeking an experienced and innovative Data Scientist to join our dynamic team. The ideal candidate will have a strong background in AI/ML solutions, deep learning, and cloud computing. This role involves leading projects from conception to deployment, requiring a blend of technical expertise, leadership skills, and a passion for data-drive innovation.

Key Responsibilities:

• Design and implement AI and machine learning solutions from initial concept to production deployment.
• Apply supervised and unsupervised learning techniques, such as regression, decision trees, random forests, gradient boosted decision trees (XGBoost, LightGBM), KNN, and t-SNE
• Develop and optimize deep learning models using tools such as TensorFlow, Keras, PyTorch, or MXNet
• Explore and integrate generative AI technologies such as OpenAI, Llama 2, LangChain, LlamaIndex, vector databases, and RAG applications.
• Utilize AWS SageMaker for scalable cloud computing and machine learning model deployment.
• Collaborate with cross-functional teams to understand business needs, formulate technical approaches, and deliver actionable insights.
• Maintain and manage project timelines and deliverables using JIRA.
• Continuously stay abreast of the latest AI/ML advancements and best practices.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Statistics or related field.
• 5+ years of experience building and deploying AI/ML solutions.
• Strong proficiency in deep learning frameworks such as TensorFlow, Keras, PyTorch, or MXNet.
• Hands-on experience with generative AI technologies and vector databases.
• Proven track record of successful cloud computing implementation, preferably with AWS SageMaker.
• Familiarity with project management and collaboration tools like JIRA.
• Excellent problem-solving, analytical, and communication skills.

Nice to Have Skills:

• Advanced knowledge of Bayesian statistics and causal inference.
• Experience with Docker and containerization technologies.
• Familiarity with Shiny and Streamlit.
• Experience with graph network analysis (networkx, Neo4J)

PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position.

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.

Competencies

Data Architecture – Knowledge and ability to create models and standards to govern which data is collected, and how it is stored, arranged, integrated, and put to use in data systems and in organizations.

Data Mining – Knowledge of tools, techniques and practices in data mining technologies used to acquire essential business information.

Disruptive Innovation – Knowledge of concepts, principles, and approaches of disruptive innovation; ability to adopt the knowledge into related processes and practices.

Information Capture – Knowledge of the processes and the ability to identify, capture and document relevant business information in an auditable, organized, understandable and easily retrievable manner.

Machine Learning – Knowledge of principles, technologies and algorithms of machine learning; ability to develop, implement and deliver related systems, products and services.

Modeling: Data, Process, Events, Objects – Knowledge of and the ability to use tools and techniques for analyzing and documenting logical relationships among data, processes or events.

Prototyping – Knowledge of and ability to implement prototyping disciplines, tools and techniques in evolutionary models within the target environment.

Query and Database Access Tools – Knowledge of and the ability to use, support and access facilities for extracting and formatting a database management system.

Work Experience

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.

Education

Masters

Benefits

PNC offers employees 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; maternity and parental leave; paid holidays, vacation days and occasional absence time; 401(k), pension and stock purchase plans; dependent care reimbursement account; back-up child/elder care; adoption assistance; educational assistance and a robust wellness program with financial incentives.