Data Science Intern

About the Role

At Agentic Academy Labs, we are shaping how students learn to build with AI tools, LLMs, and modern development frameworks. As a Data Science Intern on our Engineering team, you will play a pivotal role in turning raw data into actionable insights that directly improve our product, learning outcomes, and student experience. This is a hands-on internship designed for students who are passionate about data, curious about educational technology, eager to learn, and ready to make a real impact.

What You Will Do

• Write complex SQL queries to extract, transform, and analyze large datasets across our learning platform and user engagement pipelines
• Design and maintain interactive analytics dashboards using tools like Looker, Metabase, or Tableau to visualize key product and learning metrics
• Collaborate with product managers, engineers, and educators to define KPIs and build reporting frameworks that measure learning outcomes
• Conduct deep-dive analyses on student behavior, course completion rates, engagement patterns, and skill progression to uncover meaningful trends
• Build automated data pipelines and scheduled reports that keep stakeholders informed with up-to-date insights
• Present findings through clear data storytelling, translating complex analyses into recommendations that drive product and curriculum decisions
• Participate in code reviews and data quality audits to ensure accuracy and reliability across all analytics deliverables
• Work alongside senior data scientists exploring how AI and ML models can personalize the learning journey for every student

Why Join Us

• Real impact: Your analyses will directly shape how we design courses, improve platform features, and measure student success
• Mentorship: Receive guidance from experienced data professionals who are invested in your growth
• Skill building: Gain hands-on experience with modern data stacks, cloud environments, and industry-standard tools
• Flexible and remote: Work from anywhere with a supportive, async-first culture that respects your schedule
• Learning-first environment: As an AI education company, we practice what we teach and encourage continuous experimentation

Program Details

• Duration: 3 to 6 months (negotiable based on mutual fit)
• Stipend: Competitive internship stipend
• Schedule: Flexible hours with minimal overlap windows for sync meetings
• Start date: Immediate or as soon as possible

This internship is ideal for students who want to bridge the gap between data and education, and who are excited about using analytics to improve how the world learns AI.

Required Skills

• Strong proficiency in SQL with experience querying large, complex datasets
• Familiarity with at least one visualization or BI tool (Looker, Tableau, Metabase, Power BI, or similar)
• Basic knowledge of Python or R for data manipulation and analysis (pandas, NumPy, or tidyverse)
• Understanding of data modeling concepts and relational database structures
• Strong analytical and critical thinking skills with attention to detail
• Ability to communicate technical findings to non-technical audiences

Learning Goals

• Gain hands-on experience building end-to-end analytics solutions in a production environment
• Learn how data drives product decisions and improves learning outcomes in an EdTech setting
• Develop skills in data storytelling, dashboard design, and stakeholder communication
• Understand modern data infrastructure including ETL processes, data warehouses, and event tracking
• Explore applications of machine learning in personalized education and adaptive learning systems

Nice-to-Haves

• Experience with dbt, Airflow, or other data transformation and orchestration tools
• Familiarity with cloud platforms such as AWS, GCP, or Azure
• Prior experience with A/B testing frameworks and experimentation methodologies
• Background in statistics, machine learning, or educational data science coursework
• Exposure to working with LMS platforms or student information systems
• Contributions to open-source projects or personal data projects you can share