Data Science Intern

Data Science Intern – Data Preparation & Analytics SupportPosition SummaryWe are seeking a motivated and detail-oriented Data Science Intern to support our data analytics and machine learning initiatives. The intern will primarily assist with data preparation, cleansing, transformation, validation, and documentation activities to ensure high-quality datasets are available for reporting, analytics, and AI/ML projects. This role offers hands-on experience working with real-world datasets, modern data tools, and cross-functional business teams.Key ResponsibilitiesData Preparation & ManagementCollect, consolidate, and organize data from multiple internal and external sources.Clean, standardize, and validate datasets to ensure data accuracy and consistency.Identify and resolve missing, duplicate, or inconsistent data records.Assist in data profiling, quality assessment, and data integrity checks.Support data transformation and feature engineering activities for analytics and machine learning projects.Create and maintain data dictionaries, metadata, and documentation.Analytics SupportAssist in preparing datasets for dashboards, reports, and business intelligence initiatives.Perform exploratory data analysis (EDA) to identify trends, anomalies, and insights.Generate summary statistics and visualizations to support decision-making.Help validate analytical models and reporting outputs.Process ImprovementAssist in developing and improving data preparation workflows and automation scripts.Support efforts to improve data governance, data quality, and data management practices.Document processes, procedures, and best practices related to data handling.CollaborationWork closely with Data Scientists, Data Analysts, Engineers, and business stakeholders.Participate in project meetings and contribute to discussions regarding data requirements and quality improvements.Communicate findings, issues, and recommendations clearly to team members.QualificationsRequiredCurrently pursuing a Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Information Systems, or a related field.Basic understanding of databases and data structures.Familiarity with SQL for querying and manipulating data.Experience with Python (Pandas, NumPy) or similar analytical tools.Strong attention to detail and problem-solving skills.Excellent written and verbal communication skills.PreferredFamiliarity with data visualization tools such as Tableau, Power BI, or Looker.Knowledge of machine learning concepts and data preparation techniques.Experience working with cloud platforms such as AWS, Azure, or Google Cloud.Understanding of ETL processes and data pipelines.Exposure to version control tools such as Git.Learning OpportunitiesGain hands-on experience with enterprise-scale datasets.Learn modern data engineering, analytics, and machine learning workflows.Work alongside experienced Data Scientists and Engineers.Develop practical skills in SQL, Python, data quality management, and business analytics.Participate in real-world projects that directly impact business outcomes.Success MetricsData quality improvements and reduction of data errors.Timely preparation and delivery of analysis-ready datasets.Accuracy and completeness of documentation.Contribution to automation and process efficiency initiatives.Effective collaboration with technical and business teams.Duration: 2-3 Months InternshipLocation: Hybrid/Remote (as applicable)Department: Data ScienceIf we still have your attention, don't delay, send us your resume.The pay for this position in Colorado is $23.00/hr ($47,840 annualized); however, base pay offered may vary depending on job-related knowledge, skills, and experience. This information is provided per the Colorado Equal Pay Act. Base (CEPA) pay information is based on market location.EON is proud to be an equal opportunity employer and prohibits discrimination and harassment of any kind. Our culture celebrates diversity and we are committed to creating an inclusive environment for all team members.