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. As a(n) Data Scientist Sr (Python) within PNC's Intelligent Automation organization, you will be based anywhere PNC has a footprint.

We are seeking a Data Scientist in the Decision Automation Team under Intelligent Automation. This team works with different lines of business in the bank to catalyze strategic machine learning opportunities. As an internal consulting function, projects change year to year.

In this role, you will develop machine learning models to support PNC’s data science strategy. The role requires combination of problem-solving, quantitative analysis, and technical acumen. You will also need strong communication skills in order to share complex analytical results with non-technical audiences. A key aspect of the role is to partner closely with business leads to understand current processes and how modeling confers benefits. In delivering machine learning models, you will be at the cutting edge of bank technology. All the while, you'll benefit from access to senior professionals within the field in a friendly, open, and engaging environment.

• 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.
• Assists in the presentation of business insights to management.
• Partner with Business Leads, Data Architects, Data Engineers and Machine Learning Engineers to develop data-driven solutions for the business.

Competencies / Skills
• Programming Skills: Python or R, PySpark
• Data Mining: Knowledge of tools (SQL, Pandas) and techniques to manipulate and wrangle data for modeling.
• Machine Learning: Knowledge of principles, techniques, and algorithms such as linear/logistic regression, classification, clustering, and natural language processing.
• Prototyping: Knowledge of and ability to implement prototyping disciplines, tools and techniques in evolutionary models within the target environment.
• Disruptive Innovation: Knowledge of concepts, principles, and approaches of disruptive innovation; ability to adopt the knowledge into related processes and practices.
• Communication and Storytelling: Ability to communicate and contextualize insights to non-technical audience in a easy to understand and compelling manner.

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 and experience (including military service) may be considered.

Education

Masters

Additional Job Description

1. COMPENSATION
Base Salary: $65,000 to $187,450
Where a person is paid in the compensation range is aligned to their experience and skills. Placement within the compensation range is based on the specific role and the following factors:
 
– Lower in range –Building skills and experience in the job
– Within the range–Experience and skills align with proficiency in the role
– Higher in range –Experience and skills add value above typical requirements of the role
– Compensation Range may vary based on Geographic Location 
 
2. INCENTIVE 
Role is incentive eligible with the payment based upon company, business and individual performance.

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. To learn more about these and other programs, including benefits for part-time employees, visit pncbenefits.com > New to PNC.

Disability Accommodations Statement:

The PNC workplace is inclusive and supportive of individual needs. If you have a physical or other impairment that might require an accommodation, including technical assistance with the PNC Careers website or submission process, please call 877-968-7762 and select Option 4: Recruiting or contact us via email at pathfinder@pnc.com.

The Human Resources Service Center hours of operation are Monday - Friday 9:00 AM to 5:00 PM ET.

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.

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