Position OverviewPosition OverviewData ScientistAt 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 Data Scientist within PNC's Retail Lending Automated Solutions Group, you will be a member of a vibrant team of individuals collectively working on advanced analytics, machine learning, and application development for optimizing processes in lending services.Your work will enable the business to optimize customer service levels, simplify and streamline processes, and improve cost performance. You will report to the Head of Optimization and will be a part of a high-performing team of data scientists and developers dedicated to improving Retail Lending profitability and efficiency.Responsibilities Develop applications that streamline and simplify processes utilizing Python and Django environmentsResponsible for developing business requirements and translating business needs into moderately complex analyses and projects for a department or functional areaCompiles and mines data from multiple, cross business sourcesMaximize operational efficiency, quality, complianceMay provide guidance to less experienced specialistsMay partner with technology and/or with other business groupsJob ProfilePerforms 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. Core CompetenciesManages Risk - Working Experience Assesses and effectively manages all of the risks associated with their business objectives and activities to ensure activities are in alignment with the bank's and unit's risk appetite and risk management framework. Customer Focus - Extensive Experience Knowledge of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions, and ability to leverage that information in creating customized customer solutions. Job Specific CompetenciesData Architecture - Working Experience Knowledge of and ability to design blueprints on how to integrate data resources for business processes and functional support. Information Capture - Working Experience Knowledge of the methods, channels and processes to obtain needed information; ability to identify, capture and document relevant business information in an auditable, organized, understandable and easily retrievable manner. Modeling: Data, Process, Events, Objects - Extensive Experience Knowledge of and the ability to use tools and techniques for analyzing and documenting logical relationships among data, processes or events. Prototyping - Working Experience Knowledge of and ability to implement prototyping disciplines, tools and techniques in evolutionary models within the target environment. Query and Database Access Tools - Working Experience Knowledge of and the ability to use, support and access facilities for extracting and formatting a database management system. Disruptive Innovation - Working Experience Knowledge of concepts, principles, and approaches of disruptive innovation; ability to adopt the knowledge into related processes and practices. Machine Learning - Working Experience Knowledge of principles, technologies and algorithms of machine learning; ability to develop, implement and deliver related systems, products and services. Data Mining - Working Experience Knowledge of tools, techniques and practices in data mining technologies used to acquire essential business information. Preferences/SkillsSkills/Preferences Bachelor's Degree in Mathematics, Industrial Engineering, Operations Research, Computer Science or another related field of study7+ years of industry-specific experience.Strong analytical and problem solving skills.MS Office and Excel skills.Prior experience with Python, Django, and JSSolid written and oral communications capabilities. Preferred qualifications: Master??s Degree or PhD in Mathematics, Industrial Engineering, Operations Research, Computer Science or another related field of studyVery strong Microsoft Excel skills as well as hands-on experience with R, Python, DjangoAbility to interact directly with all levels of managementProven skills in project management, problem solving and decision-makingAbility to meet aggressive deadlines and to work independentlyExcellent written and oral communications skillsRequired Education and ExperienceRoles 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 and experience (including military service) may be considered.EEO StatementPNC 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 Associated topics: data administrator, data analyst, data analytic, data manager, data management, data scientist, erp, hbase, mongo database, sql
* The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.