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AES Data Science Intern in Indianapolis, Indiana

At AES, we raise the quality of life around the world by changing the way energy works. Everyone makes an impact every day in our small, global teams. Apply here to start an extraordinary career today.

At AES, we have an amazing opportunity to transform the world with renewable energy. By using the vast amounts of information available, we are designing Smart Maintenance, Smart Operations, Smart Grid and other Energy related solutions to improve our operations and be a leader in renewable energy generation.

Data scientists work with key decision makers to solve business problems by preparing, analyzing, and understanding data to deliver insight, predict emerging trends, and provide recommendations to optimize results. Data scientists use a variety of data (structured, unstructured, IoT streaming), analytics, AI tools, and programming languages often using a cloud infrastructure to handle the volume and veracity of data streams.

Armed with data, modeling expertise, and analytic results, the data scientist communicates conclusions and recommendations to partners in an organization's leadership structure. Eye for business is an important skill for data scientists to effectively communicate their findings to business leaders, data scientists need strong consulting, communication, visualization, and storytelling skills.

As an intern, you can grow through challenging work, get involved in meaningful projects and receive great coaching from our leaders. Here, you can apply your talent in bold ways that matter.

Your Role and Responsibilities:


  • Support algorithm development and deploy solutions based on real-world data; implement and validate predictive models; create and maintain statistical models.

  • Communicate with internal and external clients to understand business needs and provide analytical solutions.

  • Use statistical concepts such as regression, time series, mixed model, Bayesian methods, clustering, etc. to analyze data and provide insights.

  • Work in an Agile, collaborative environment, partnering with other scientists, engineers, and database administrators of all backgrounds and disciplines to bring analytical difficulty and statistical methods to the challenges of predicting behaviors.

  • Data analytics including identifying, retrieving, manipulating, relating and exploiting multiple structured and unstructured data sets from various sources including building or generating new data sets.

  • Build capabilities with software tools (e.g. Google Cloud Platform).

  • Identify, retrieve, manipulate, relate and exploit multiple structured and unstructured data sets from various sources including building or generating new data sets as appropriate.

  • Create and present materials on data projects, data science architecture and analytics strategies.

Who You Are

  • You can debug, fix, design and implement solutions to complex technical issues.

  • You have a curiosity about analytics and solving problems using data.

  • Ability to deal with the ambiguity and the flexibility to change direction as additional information becomes available.

  • You have a solid understanding of programming languages extensively used in Data Science applications (e.g., R, Python, Scala, Java, etc.)

  • Currently enrolled in Business Analytics, Mathematics, Economics, Physics, Computer Science, or Engineering

Required Professional and Technical Expertise

  • Training or relevant coursework in data science, statistics or machine learning.

  • Must have experience coding in R and/or Python.

Preferred Professional And Technical Expertise

  • Sophisticated knowledge of statistical concepts such as regression, time series, mixed model, Bayesian methods, clustering, etc., to analyze data and provide insights.

  • Experience collaborating on coding projects in Google Cloud Platform

  • Good communication and data visualization skills to adequately explain complex subject matter to a wide range of associates.

AES is an Equal Opportunity Employer who is committed to building strength and delivering long-term sustainability through diversity and inclusion. Respecting all backgrounds, differences and perspectives enables us to improve the lives of our people, customers, suppliers, contractors, and the communities in which we live and work. All qualified applicants will receive consideration for employment without regard to sex, sexual orientation, gender, gender identity and/or expression, race, national origin, ethnicity, age, religion, marital status, physical or mental disability, pregnancy, childbirth, or related medical condition, military or veteran status, or any other characteristic protected under applicable law. E-Verify Notice: AES will provide the Social Security Administration (SSA) and if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization.

Safety comes first at AES. To protect the health and safety of our people, customers, communities and partners, and to provide and maintain a workplace that is free of known hazards, AES requires all newly-hired people or current AES people applying for U.S.-based role(s), to be fully vaccinated against COVID-19 or be willing to be fully vaccinated against COVID-19 by their date of hire. Except where prohibited by law or not specifically covered in a collective bargaining agreement, new hires and transfers will be required to provide proof of vaccination during onboarding and periodically thereafter. This policy will comply with all applicable laws and is based on guidance from the Centers for Disease Control and Prevention and local health authorities, as applicable.

Accelerating the future of energy, together

Our people are our energy and have transformed AES into the type of energy company that the world needs today and in the future. Coming from all walks of life, our people share a passion for improving lives by advancing the energy sector through innovation, collaboration and action.

We are working in an industry that requires new thinking and ways of working together to create solutions that are both economically and environmentally viable, not just one or the other.

We are looking for passionate people to join us in our mission to accelerate the future of energy.

Are you ready to join us?