**Position Overview**

You can play a critical role in the success of PNC as a member of our Retail Bank Operations team. You’ll help drive crucial behind-the-scenes functions for many lines of business. This includes essential items such as managing the cash needs of our branch and ATM networks, protecting the bank from potential fraud, and identifying ways to continually improve our processes. If you’re ready for exciting new challenges in your career, bring your passion and expertise to PNC.

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 Bank Operations organization, you will be based in Cleveland, Columbus OH; Pittsburgh, PA; Laredo, McAllen, Houston, Harlingen, TX; Birmingham, AL; Tampa, FL or Phoenix, AZ.

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 geographic locations.

Additional locations within the PNC Footprint may be considered.

As a Data Scientist on the Bank Operations Analytics(BOA) Team in Retail Operations, you will leverage your data science experience and banking knowledge to develop predictive models that contribute to PNC's data science strategy and enhance the Retail customer experience.

You will partner with:

• Retail Banking LOBs to understand business processes and identify opportunities for: improved efficiencies, financial savings, risk reduction, and an enhanced customer experience

• Data Experts, Data Architects, and Data Engineers for data mining and processing, structured and unstructured data, in order to extract business insights

• Model Risk Management to assess model risk, governance, and monitoring

• MIS to deploy models

• Other Bank Operations Analytics members to knowledge share and assist in the development of data science and machine learning skills within the team

Preferred Competencies/Skills:

• Demonstrated history of developing algorithms that use advanced mathematical and statistical techniques, like machine learning, to predict business outcomes and recommend optimal actions to management

• Familiar with how data science can be applied in Cash Management, Fraud, Disputes, and other aspects of Banking

• Experience building machine learning algorithms, preferably in a financial institution

• Experience with Supervised and Unsupervised learning models including: Classification, Regression, Forecasting, and Clustering

• Experience with data mining and data processing of large, complex, structured, and unstructured data

• Experience with Cloudera Hive & Impala

• Knowledge of tools/languages for data mining, data wrangling, feature engineering, and model development including: SQL, Spark, Python, R, PySpark, Pandas, Koalas, etc.

• Can confidently present analytical insights to technical and business audiences

• 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

**Job Description**

+ 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.

**Qualifications**

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

**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

**Certifications**

No Required Certification(s)

**Licenses**

No Required License(s)

**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 (http://yourpnctotalrewards.com) .

**Disability Accommodations Statement**

If an accommodation is required to participate in the application process, please contact us via email at AccommodationRequest@pnc.com . Please include “accommodation request” in the subject line title and be sure to include your name, the job ID, and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses. Applicants may also call 877-968-7762 and say "Workday" for accommodation assistance. All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

At PNC we foster an inclusive and accessible workplace. We provide reasonable accommodations to employment applicants and qualified individuals with a disability who need an accommodation to perform the essential functions of their positions.

**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.

This position is subject to the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA) and, for any registered role, the Secure and Fair Enforcement for Mortgage Licensing Act of 2008 (SAFE Act) and/or the Financial Industry Regulatory Authority (FINRA), which prohibit the hiring of individuals with certain criminal history.

**California Residents**

Refer to the California Consumer Privacy Act Privacy Notice (https://content.pncmc.com/live/pnc/aboutus/HR/Onboarding/PNC\_CCPA\_Privacy\_Disclosure\_Employee.pdf) to gain understanding of how PNC may use or disclose your personal information in our hiring practices.