Data Science Intern/Graduate, NZ

Job Title: Data Science Intern/Graduate, NZ Company: Partly Job Category: Machine Learning Roles & Responsibilities: Our model, Interpreter, is the first AI purpose\-built to understand repair. Trained on 1M\+ car models and 1B\+ parts, it reads a repair job the way an estimator does, resolves damage into the exact purchasable part, and shows its reasoning with a confidence score. On real production jobs, an estimator working with Interpreter reaches 98\.8% parts\-list accuracy, against 92\.1% with today's tools. It powers PartlyRepair, used by collision shops, workshops and suppliers to take the admin off the job; PartlyLabs, the agentic infrastructure enterprises use to deploy Interpreter across their own workflows; and a developer API. 🖍️ This role If you are relocating from overseas or domestically to Partly HQ, we offer a generous relocation allowance to support your move Work Location: Christchurch, Canterbury, New Zealand Availability: Full time

As a Data Science Intern, you'll work alongside our Applied ML and DataQA teams to help make sense of the technical problems behind Partly's core vehicle and parts workflows. You'll be paired with experienced data scientists and engineers who will mentor you as you dig into messy, real\-world data and turn it into clear, useful analysis. * Solid analytical fundamentals. You're studying or have recently studied data science, statistics, computer science, mathematics, engineering, or a related field, and you can reason carefully about data. * Working SQL and Python. Through coursework, projects, or prior experience, you can query data and write code to analyze it. You don't need to be an expert, but you should be comfortable getting your hands dirty. * Good problem decomposition. You enjoy taking a vague or messy question and breaking it into smaller, answerable pieces. * Curiosity about how things really work. You like understanding the "why" behind a problem, not just producing a chart, and you're comfortable with data that isn't clean or fully labeled. * Clear communicator. You can explain what you found and why it matters, ask for help when you need it, and take feedback well. * Bias for learning. You want to be stretched, you take ownership of your growth, and you're excited to work on hard, real\-world problems rather than tidy textbook ones. * (Bonus) Any exposure to classification problems, data quality or QA work, entity matching, catalog data, automotive data, or working alongside ML or human\-in\-the\-loop systems. Key Skills: Python, Model Training Salary: $2