Data Scientist Intern

Be Part of a Mission-Driven Team

At Foundry for Good, we don’t just build businesses—we build businesses that do good. Across our family of brands, we support nonprofits, trade associations, and mission-driven organizations with innovative software, impactful marketing strategies, and tools that empower positive change.

Here’s why you’ll love working with us:

• Stability & Growth: We’re 100% self-funded, with no outside investors or debt, meaning long-term stability and thoughtful growth.

• People-First Culture: Our 95%+ employee retention rate reflects our commitment to competitive pay, respect, and career development.

• Global Collaboration: Work with talented team members in the US and the Philippines who share your drive for excellence and impact.

• Mission-Focused Work: Every role here supports organizations making the world a better place.

If you’re ready to grow your career while making a difference, we’d love to hear from you!

Watch Our "Meet the Team" Video

About Fuller Focus

Fuller Focus is a B2B data intelligence platform that helps companies selling to the nonprofit sector identify, prioritize, and close the right prospects. We surface insights from IRS Form 990 data — covering 1.8M+ nonprofits and 738M+ rows of financial data — to power lookalike modelling, competitor intelligence, financial trajectory signals, and CRM enrichment.

We’re a small, fast-moving team backed by Foundry for Good. We’ve recently signed our first enterprise clients and are scaling our sales pipeline. This role is our first dedicated hire outside of engineering, and you’ll work directly with the founder every day.

The Role

We’re looking for a Data Scientist Intern to build models that turn raw data into actionable insights. This is a highly applied role — focused on real business impact, not theory.

What You’ll Work On

• Building lead scoring models

• Developing lookalike models to identify high-fit organizations

• Turning messy data into usable, structured insights

• Exploring predictive approaches (e.g. classification, clustering, KNN, etc.)

What Success Looks Like

By the end of the internship, you’ve built models that improve how we prioritize leads and are used in the product or sales workflows.

What We’re Looking For

• Strong skills in Python and/or SQL

• Experience working with real, messy datasets

• Ability to move from raw data → insight → usable output

• Understanding of modelling approaches (regression, classification, clustering, etc.)

• Builder mindset — you ship, not just analyze

Not a Fit If:

• No projects or GitHub

• Only academic coursework

• No evidence of building or applying models

• Prefer highly structured environments

Strong Signals

• You’ve built and deployed models in real projects

• You’ve worked with messy or scraped data

• You’ve done end-to-end work (data → model → output)

• You think commercially, not just technically

How You’ll Work

• Remote

• High autonomy

• Fast-paced startup environment

• Focus on shipping, not over-analyzing

Details

• Paid stipend

• Rolling internship

• Potential to convert to full-time

Application Process

1. Apply with CV + GitHub

2. Interview

3. Short technical / take-home task

Why Join

Most data science roles are slow and academic. Here, you’ll:

• Work on real data with real impact

• Build models that directly affect revenue

• Move fast and own your work

• Learn how data is actually used in a startup