Data Intelligence Engineering Intern

Role Description

The Data Intelligence Engineering Intern will support the development and implementation of data-driven systems, AI-powered workflows, and intelligent automation solutions. The role involves working with data processing, enrichment, AI agents, and system integrations to support AI-powered products and internal infrastructure. This internship is hybrid, with time split between on-site collaboration and remote work.

Day-to-Day Responsibilities

• Clean and structure data
• Perform exploratory data analysis
• Build and validate data models
• Assist in the integration of data sources across products such as Dr.Tracker India, Dr.Tracker Clinic, and Dr.Tracker EDC
• Collaborate with engineering, product, and clinical operations teams to translate business and research requirements into usable datasets, dashboards, and insights

Qualifications

• Strong Data Analytics and Data Analysis skills to extract insights and support decision-making
• Solid Data Management skills, including organizing, cleaning, and maintaining datasets and data pipelines
• Robust Analytical Skills to interpret trends, diagnose issues, and evaluate the impact of data-driven initiatives
• Foundational Data Modeling skills to design and implement structured data representations for reporting and product features
• Basic proficiency in SQL and at least one programming language commonly used in data work (such as Python or R)
• Familiarity with data visualization tools or libraries (for example, Tableau, Power BI, or matplotlib/Plotly) is beneficial
• Ability to communicate technical findings clearly to non-technical stakeholders and collaborate in cross-functional teams
• Current enrollment in or recent completion of a degree program in Computer Science, Data Science, Engineering, Statistics, or a related field
• Interest in digital health, clinical research, or healthcare technology is a plus