Senior Data Scientist, NZ

Reposted 13 Hours Ago
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Christchurch, Canterbury, NZL
In-Office
Senior level
Artificial Intelligence • Machine Learning • Software
The Role
Join the Data Science R&D team to build prediction and data-processing systems for automotive parts. Perform data analysis, modeling (ANNs, graph algorithms, regression, decision trees), feature extraction, visualization, and deploy models using Python and cloud tooling to deliver client impact.
Summary Generated by Built In

Note: Partly is headquartered in Austin, TX with offices in London, UK, Christchurch, NZ and Auckland, NZ. 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.

🚀 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.

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.

💻 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.

🎡 Benefits
  • Healthy, Catered Lunches - Enjoy fresh, healthy lunches every workday in our Auckland, Christchurch, London, and Austin offices. With no meal prep needed, you can eat, connect, and refuel with your team. (And yes, snacks and drinks are always on hand.)

  • Healthy Body, Healthy Mind - We care about performing at our peak. Every team member gets a $1,500 annual wellness allowance (or local equivalent) on a Partly-branded card. Use it on things such as gym memberships, rock climbing, physical therapy, massage, doctor visits, prescriptions—anything that you or your family need!

  • Family Comes First - Primary caregivers receive 3 months of fully paid parental leave, plus a flexible return-to-work plan (four days a week at full pay for your first three months back).

  • Getting Here Is On Us - If you commute to a Partly office or coworking space, choose from a paid 24/7 parking spot or a commuting allowance. One less thing to think about!

  • Workspaces That Inspire - Our brand-new, architecturally designed offices are built for collaboration and creativity, with great coffee, social spaces, and some of the best cafes just a few steps away.

  • Office-First with Flexibility - In cities where we have an office (Christchurch, Auckland, London, and Austin), we default to working from the office every day. This lets us move faster, make better decisions, and build strong relationships. We also operate with a high-trust environment, so you can manage your time around your life and flex your schedule to do your best work.

  • We Celebrate Together - From weekly happy hours and monthly lunches to quarterly season openers and an annual global offsite, we make time to connect, celebrate, and have fun as one team.

🛬 Relocation

If you're relocating to Partly HQ, whether from overseas or within the country, we offer a generous relocation allowance to help support your move.

Skills Required

  • MSc in Computer Science, Data Science, or related field
  • 6+ months of commercial data science experience
  • Experience working with automotive data
  • Good understanding of data analysis, extraction, mapping, and/or machine learning
  • Experience with Python, scikit-learn, PyTorch, Pandas, Google Cloud, PostgreSQL
  • Self-starter with ability to work and learn autonomously
  • Clear communicator and team player
  • Personal projects or independent work outside university
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The Company
HQ: London
81 Employees

What We Do

Partly’s mission is to connect the world's parts. We leverage advancements in machine learning and AI to transform the predominantly offline $1.9 trillion auto parts industry. Partly Infrastructure is chosen by leading enterprises to build their auto parts procurement platform, enables repairers and suppliers to transact in real time, providing supply chain visibility across OEM, aftermarket, and recycled suppliers in one convenient place. Partly is backed by industry-leading investors including Octopus Ventures, Blackbird, Squarepeg, I2BF, Ten13, Hillfarrance, Shasta Ventures, Icehouse Ventures, Peter Beck (Rocket Lab), Randy Reddig (Square), Dylan Field (Figma), and Akshay Kothari (Notion). 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 through every experience. Partly is ISO27001 Certified

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