About the role
Note: Partly has offices in London (UK), Christchurch & Auckland (NZ) and Austin (Texas),. Wherever you're based, we'll connect you with your nearest office for onboarding, and fly you to join the full team for our quarterly "Season Openers" (we cover travel and accommodation). If you're relocating to join us, we can also assist with relocation costs. This role is to be based in either our Christchurch or Auckland office. 🚀 Our story Partly's mission is to connect the world's parts and we're doing that by building the first global platform for replacement parts, starting with auto parts. Our big vision is to accelerate the world toward a sustainable future where anyone can fix anything. Founded by ex-Rocket Lab engineers, we utilise cutting-edge technology to solve challenging but exciting problems that make a huge impact in a $1.9 trillion industry. We've more than tripled our team over the last 12 months and expect to double in size again over the coming 12 months. We're a global team spanning both Europe and Australasia. We provide a scalable digital infrastructure solution to some of the world's largest businesses and the most exciting startups. Partly's solutions are integrated across hundreds of companies globally, providing the backbone for cataloguing and managing parts online. Our investors in Blackbird Ventures (Canva, CultureAmp etc.), Square Peg, Octopus Ventures, Icehouse, Peter Beck (Rocket Lab), Akshay Kothari (Notion Co-Founder) and Dylan Field (Figma Co-Founder). We're continuing to build a world-class team and ensuring Partly is a place where people can do the best work of their lives. We're proud of the culture we've built at Partly, and our values are lived throughout every experience. Want to learn more about the problems we're solving and the culture we're building at Partly? Hear directly from our team here: https://shorturl.at/iAFUX 🖍️ This role In this role, you will work alongside other members of our Data Science team to tackle exciting R&D problems. You will be part of one of our R&D Teams and build a project with real, meaningful, and major impact on our clients. You will have the chance to learn and contribute and deepen your engineering skills. You will do 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, regressions, trees, feature extraction The tech you can expect: Python, SciKitLearn, PyTorch, Pandas, Google Cloud, PostgreSQL Watch our last year's interns talking about their summer at Partly. 🥷 Your skills A MSc in Computer Science, Data Science or related field. 6+ months of commercial Data science experience Experience working with Automotive data. You are a problem solver and you love complex problems. You are a self-starter. You have a good understanding of data analysis, extraction, mapping and/or ML. You spend time outside of uni 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/experience listed above but believe you could be outstanding in this role, please still consider applying. Many folks, especially those from underrepresented or marginalised groups, often count themselves out. Please allow us to learn more about you and why you're exceptional! 🪅
