PPL Corporation Data Scientist in Allentown, Pennsylvania



Data Scientist

Primary Responsibilities:

Business Alignment and Thought Leadership:

• Work with the business stakeholders to identify data requirements

• Model and frame business scenarios that are both meaningful and impact critical business processes and/or decisions

• Effectively communicate complex technical data results to target audience

Data Collection and Integration:

• Parse and manipulate raw, complex data streams to prepare for loading into an analytical tool

• Perform end-to-end data set identification, development, and implementation

• Work with Data Analysts / Technologists to support data collection, integration and retention requirements based on the input collected with the business

• Gather and process data from the Transmission, Distribution, Customer Service, and EU Service functions, and transform them into data products

• Design and implement statistical data quality procedures around new data sources

• Develop and implement data set processes and layouts

Discovery and Statistical Analysis:

• Implement data formulation process, including identification of attributes, exploratory data analysis, data transformation, and temporal data structures

• Perform statistical analyses with both new and existing data sets in statistical packages

• Understand the use and ability to employ the appropriate algorithms to discover patterns

• Apply best available practices for artificial intelligence and machine learning


• Implement ongoing improvements to methods and algorithms that lead to findings, including new information

• Guide /collaborate with Data Visualization Technologists to visualize and report data findings creatively in a variety of visual formats that appropriately provide insights to the business

Data Governance:

• Ensure that the information used follows the compliance, access management and control policies of the organization

Physical presence in the office/on-site to engage in face-to-face interaction and coordination of work among direct reports and co-workers.

May be assigned an Electric Utilities emergency and storm role. This is a special assignment that comes into play during storms and other emergencies when the company needs to restore power or respond to other issues affecting customer service. This role may necessitate the need to work after-hours, outside of your normal schedule.

Requisition ID:


Position Summary:

We've got an electric future. The energy industry is an exciting place, full of developing technology and new customer service possibilities. PPL Electric Utilities is looking for Data Scientists who can help us provide strong, reliable, affordable electric service to more than a million customers in Pennsylvania, while adapting to new opportunities that are changing our industry. People depend on us and we deliver. We'd love to have you on board as we tackle that challenge, in new ways, everyday.

The Data Scientist designs and implements processes and layouts for complex, large-scale data sets used for predictive modeling, data mining, and research purposes. They work with the business stakeholders to identify data requirements, and both model and frame business scenarios that are meaningful and impact critical business decisions.

Candidate Qualifications:

Candidates must meet the basic qualifications and pass all required tests or assessments to receive consideration.

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility form upon hire.

Experience Level:

Entry Level

Recruiting Location:


Basic Qualifications:

  1. Bachelor’s degree in data science, data analytics, computer science or mathematics and two (2) years of experience with data mining and statistical analysis. In lieu of experience, applicants with a Master's degree in data science, data analytics, computer science or mathematics will be considered.

  2. Able to understand various data structures and common methods in data transformation

  3. Excellent pattern recognition and predictive modeling skills

  4. Experience with object-oriented programming languages such as Python

  5. Knowledge of industry leading data quality and data protection management practices

  6. Proven ability to prioritize and execute tasks

  7. Highly self-motivated and directed with attention to detail

  8. Easily adapts to changing circumstances

  9. Able to understand business goals and strategic priorities

Equal Employment Opportunity:

Our company is an equal opportunity, affirmative action employer dedicated to diversity and the strength it brings to the workplace. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, national origin, protected veteran status, sexual orientation, gender identify, genetic information, disability status, or any other protected characteristic.

Regular or Temporary:


Preferred Qualifications:

  1. Master’s degree

  2. Five (5) years experience with SAS, ETL, data processing, database programming and data analytics

  3. Experience building and running machine learning algorithms

  4. Experience supporting fast-changing business organizations

Full-time or Part-time:


Corporate Summary:

As one of the largest investor-owned companies in the U.S. utility sector, PPL Corporation delivers on its promises to customers, investors, employees and the communities we serve. Our utilities – Western Power Distribution, Louisville Gas and Electric and Kentucky Utilities, and PPL Electric Utilities – provide an outstanding service experience for our customers, consistently ranking among the best in the United States and the United Kingdom. PPL has grown from a company with customers and facilities in one region of Pennsylvania to a diverse energy company with more than 10 million customers in the U.S. and the U.K. PPL provides energy for millions of customers while providing challenging and rewarding careers for thousands of employees around the U.S. and abroad. Follow PPL Corporation on social mediaTwitter: @PPLCorporation (https://twitter.com/PPLCorporation)LinkedIn (https://www.linkedin.com/company/ppl-corporation)Follow PPL Electric Utilities on social mediaTwitter: @PPLElectric (https://twitter.com/PPLElectric)Facebook (www.facebook.com/PPLElectric)