Software Engineering / Data Science Intern

About the Role

Mortgage servicing runs on legacy systems. BSI is changing that — and we need engineers who can move fast.

Responsibilities

• Take product requirements or a PM-built POC and engineer a scalable, production-quality MVP
• Build and iterate on user-facing interfaces: web apps, dashboards, internal tools — using AI-assisted coding tools throughout
• Develop and optimize data pipelines, ETL processes, and integrations on Databricks using dbt and PySpark
• Build and refine AI agents to automate complex operational workflows
• Work closely with data engineers and analysts to ensure data quality, pipeline reliability, and model integration
• Collect rapid user feedback, iterate on UX, and push features through testing to production
• Document technical architecture, APIs, and data flows for handoff to full-time engineering
• Participate in code reviews, sprint planning, and agile ceremonies

What You'll Need

• Currently pursuing a Bachelors (or Masters) degree in Computer Science, Software Engineering, AI/ML, Data Science, or equivalent technical field
• Demonstrated technical portfolio: GitHub repos with meaningful commits, a deployed project, hackathon work, or open-source contributions
• Strong Python skills; experience with SQL and data manipulation
• Experience building and deploying something end-to-end — not just tutorials
• Fluency with AI coding tools (Claude Code, Copilot, Cursor) as a core part of your workflow
• Ability to debug independently and ship fast under ambiguity

Resume Tip

Highlight your experience with Databricks, PySpark, or dbt for data engineering, and your ability to build and refine AI agents.