Graduate Intern PHI- Data Analytics

Job Description

Description

At Exelon, we've got a place for you!

Join the nation's leading competitive energy provider, with one of the largest electricity generation portfolios and retail customer bases in the country. You will be part of a family of companies that strives for the highest standards of power generation, competitive energy sales, and energy delivery. Our team of outstanding professionals is focused on performance, thought leadership, innovation, and the power of ideas that come from a diverse and inclusive workforce.

Exelon will provide you the tools and resources you need to design, build and enhance a successful career. We are also dedicated to motivating the success of our employees through competitive base salary, incentives, and health and retirement benefits.

Join Exelon and share your passion at a forward-thinking Fortune 100 company. Establish yourself in a place where you can truly shine and create a brighter, more sustainable tomorrow. Energize your career at Exelon!


PRIMARY PURPOSE OF POSITION

We are looking for graduate students to join our Capacity Planning & Analytics group. Our group supports power grid planning and analysis and load forecasting for the distribution power grid. We also support projects to analyze and improve the integration of distributed energy resources such as solar, wind, battery storage, and electric vehicles into the distribution grid. We work with various datasets, such as time-series data, geospatial, weather data, and others. The Data Analytics intern will work closely with a small team of Sr Quantitative Engineers to support data quality efforts and perform data retrieval and data analysis.

Qualifications

Recommended Qualifications:

• Applicants should be pursuing a Masters or PhD in a quantitative field such as computer science, engineering, statistics, mathematics, or a related quantitative field.
• Excellent data retrieval, processing and analysis skills and strong experience using SQL Server/T-SQL, Python, and Pandas
• Experience with developing and applying machine learning algorithms to large datasets
• Excellent verbal and written communication skills as well as interpersonal skills; and Demonstrated ability to work in a dynamic and complex environment
• Current Student at an accredited college or university
• Ability to consistently work under and meet tight deadlines and milestones
• Ability and willingness to maintain the confidentiality of sensitive information
• Ability to work in a team environment
• Ability and willingness to work flexible hours
• Ability and willingness to work 20 hours per week.

Exelon is proud to be an equal opportunity employer and employees or applicants will receive consideration for employment without regard to: age, color, disability, gender, national origin, race, religion, sexual orientation, gender identity, protected veteran status, or any other classification protected by federal, state, or local law.

VEVRAA Federal Contractor