AI/ML Analytics Engineer Intern - Advanced Track (Summer/Fall 2026)
Core
Build data pipelines, dashboards, and ML models to unify marketing, product, and billing data for business decision-making and growth optimization.
Role type
Analytics Engineer Intern (AI/ML focus)
Builds
Data pipelines, dbt models, dashboards, and ML models for forecasting and anomaly detection
Domain
SaaS, Marketing Automation, Product Analytics
Deliverable
production ML models | dashboards & analysis
Required skills
SQL, dbt, Data Warehousing (BigQuery/Snowflake/Redshift), Python for data analysis/ML, Data Integration
Preferred skills
MLOps, SaaS tool integration, AI agents/LLMs
Technologies
BigQuery, dbt, Looker Studio, Notion, Vertex AI, Smartlead, Brevo, Firebase, Stripe, scikit-learn, TensorFlow, PyTorch
Responsibilities
Unify data sources into BigQuery, Design and maintain dbt models, Build dashboards and weekly briefs, Deploy ML models for forecasting and churn, Prototype AI agents for business summaries, Audit data stack for gaps and quality issues
Seniority
Intern