Our Story
Partly is connecting the world's parts, and we're doing that by building the AI infrastructure layer for the global repair industry, starting with the $2tn automotive market. Our frontier model, Interpreter, is the world's first AI purpose-built to understand vehicle damage and the parts needed to fix it. Thousands of businesses across the global repair supply chain already rely on it.
Founded by ex-Rocket Lab engineers, we've tripled in size in the last 18 months and have recently raised a $50m Series B led by DST Global (Anthropic, Airbnb, Meta, TikTok, Spotify) and including Blackbird Ventures (Canva, CultureAmp etc.), WNDR, Activant Capital, Icehouse Ventures, Square Peg, Airtree, and Ecliptic Venture Capital. We're headquartered in Austin, with offices in New Zealand and London.
We're continuing to build a world-class team ensuring Partly is a place where people can do the best work of their lives. We're proud of the culture we've built, and our values are lived throughout every experience.
This Role
In this role, you will work alongside other members of our Data Science team to tackle exciting R&D problems.
What Will You Do
You will be part of one of our R&D teams and build a project with real, meaningful, and major impact for our clients.
You will have the chance to learn, contribute, and deepen your engineering skills.
You will perform data analysis, modeling, visualization, and pattern recognition.
Build new prediction systems and work on data processing systems and modeling using techniques such as ANNs, graph algorithms, regression, decision trees, and feature extraction.
The tech you can expect: Python, scikit-learn, PyTorch, Pandas, Google Cloud, PostgreSQL.
Your Skills
An MSc in Computer Science, Data Science, or a related field.
6+ months of commercial data science experience.
Experience working with automotive data.
You are a problem solver who loves complex problems.
You are a self-starter.
You have a good understanding of data analysis, extraction, mapping, and/or machine learning.
You spend time outside of university working on personal projects.
You are a clear communicator and team player.
You are able to work and learn autonomously.
Please note: if you don't have all the skills or experience listed above but believe you could be outstanding in this role, please still consider applying. Many people count themselves out. We'd love the chance to learn more about you and why you're exceptional.