Senior Data Scientist - Asset Management Group at PNC Financial Services Group in Cleveland, Ohio

Job Description:

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. 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(n) (position title) within PNC's (name of division) organization, you will be based in (city/state location of position).

Job Profile

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. We work together each day to foster an inclusive workplace culture where all our employees feel respected, valued, and have an opportunity to contribute to the company’s success. As a Senior Data Scientist you will be located within the PNC Footprint with the exception of Alaska, Colorado, and Hawaii. Remote and hybrid work options available.

As a Senior Data Scientist within PNC’s Asset Management Group (AMG), you will join the Data Analytics and Solutions team to solve some of the most impactful business problems using a variety of AI and ML technologies. You will collaborate closely with business partners and domain experts to develop innovative data driven solutions to support AMG’s business growth.

Responsibilities include:
• Leading the design, development and monitoring of repeatable and interpretable customs models based on deep understanding of underlying data, data structures, and business problems.
• Engaging with business stakeholders, product managers and engineers to understand their requirements and identify challenges.
• Ensuring deliverables meet client needs and lead to measurable gains through metrics that you will contribute to define

The successful candidate will have the following qualifications:
• Master ‘s degree in a quantitative field (Computer Science, Machine Learning, Mathematics, Statistics…) or equivalent practical experience
• 3+ years of experience as a Data Scientist
• Strong background in probability, statistics, and machine learning algorithms
• Excellent programing skills in Python, with strong working knowledge of Python’s standard and ML libraries
• Advanced SQL skills
• Spark experience preferred
• Excellent written and verbal communication skills
• Excellent analytical skills with demonstrated experience in hypothesis driven learning and turning data into actionable insights
• Experience with visualization tools such as Tableau or Shiny is preferred.

*Please note, PNC will not sponsor a work visa 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 and experience (including military service) may be considered.

Education

Masters

Additional Job Description

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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.

California Residents

Refer to the California Consumer Privacy Act Privacy Notice to gain understanding of how PNC may use or disclose your personal information in our hiring practices.