Data Scientist Intern
Description
Data Scientist Intern (Lead Scoring & Models)
🚀 About Us We help companies identify which nonprofits are worth targeting — and which aren’t. We already have the data. Now we need to turn it into intelligence.
🧠 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 organisations 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 prioritise 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 analyse
✅ 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-analysing
💰 Details Paid stipend Rolling internship Potential to convert to full-time
💥 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
Skills
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