Junior Data Scientist

AES • Indianapolis, IN

18h

About The Position

The Junior Data Scientist will support AES’s US Utilities operations by applying data science techniques to improve grid reliability, customer experience, and operational efficiency. This entry-level role is ideal for candidates passionate about solving real-world energy challenges through data exploration, predictive modeling, and cross-functional collaboration. You’ll work alongside our team of experienced data scientists, data analysts, data architects and engineers, and data governance experts to deliver insights that drive smarter decisions and accelerate the future of energy.

Requirements

• Bachelor’s degree in data science, statistics, computer science, engineering, or a related field. Master’s degree or Ph.D. is preferred.
• 5 years of experience in a data science or analytics role.
• Strong applied analytics and statistics skills, such as distributions, statistical testing, regression, etc.
• Proficiency in Python or R, with experience using libraries such as pandas, NumPy, and scikit-learn.
• Proficiency in traditional machine learning algorithms and techniques, including k-nearest neighbors (k-NN), naive Bayes, support vector machines (SVM), convolutional neural networks (CNN), random forest, gradient-boosted trees, etc.
• Familiarity with generative AI tools and techniques, including large language models (LLMs) and Retrieval-Augmented Generation (RAG), with an understanding of how these can be applied to enhance contextual relevance and integrate enterprise data into intelligent workflows.
• Proficiency in SQL, with experience writing complex queries and working with relational data structures. Google BigQuery experience is preferred, including the use of views, tables, materialized views, stored procedures, etc.
• Proficient in Git for version control, including repository management, branching, merging, and collaborating on code and notebooks in data science projects. Experience integrating Git with CI/CD pipelines to automate testing and deployment is preferred.
• Proficiency in data visualization tools (e.g., Power BI, Tableau, Looker).
• Strong analytical thinking and problem-solving skills.
• Excellent communication and storytelling abilities.
• Experience with cloud computing platforms (GCP preferred).
• Ability to manage multiple priorities in a fast-paced environment.
• Interest in learning more about the customer-facing side of the utility industry.

Nice To Haves

• Experience in the energy and/or utilities sectors.
• Understanding of utility-specific data sources (e.g., SCADA, CIS, GIS).
• Familiarity with SAP (especially IS-U and ERP modules).
• Exposure to data governance tools (e.g., enterprise data catalog and data quality tools).

Responsibilities

• Work cross-functionally within the team of data scientists, data architects & engineers, machine learning engineers, data analysts, and data governance experts to support integrated data solutions.
• Collaborate with business stakeholders and business analysts to define project requirements.
• Collect, clean, and preprocess structured and unstructured data from utility systems (e.g., meter data, customer data).
• Perform exploratory data analysis to identify trends, anomalies, and opportunities for improvement in grid operations and customer service.
• Use both traditional machine learning methods and generative AI tools to create predictive models that solve utilities-focused problems, particularly in the customer space (e.g., outage restoration, customer program adoption, revenue assurance).
• Present data-driven insights to internal stakeholders in a clear, concise manner, including visualizing data to provide predictive insights and drive decision making.
• Document methodologies, workflows, and results to ensure reproducibility and transparency.
• Be a champion of data and AI at all levels of the AES US Utilities organization.
• Stay current with industry trends in utility analytics and machine learning.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Number of Employees: 5,001-10,000 employees