Data Science Intern

Eon Health • Denver, CO

2d • Hybrid

About The Position

We 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.

Requirements

• Currently 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.

Nice To Haves

• Familiarity 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.

Responsibilities

• Collect, 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.
• Assist 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.
• Assist 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.
• Work 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.

Benefits

• Gain 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.

What This Job Offers

• Career Level: Intern
• Education Level: Associate degree