Senior Data Scientist, NZ

JobSpace; Christchurch; On-site; NZD 80,000 - 110,000; Full time

Job summary

Partly is building the AI infrastructure layer for the global repair industry, focusing on vehicle damage understanding and parts prediction. In this role, you will join our Data Science team to tackle R&D problems with real client impact, learning and growing your engineering skills while contributing to meaningful models.

You will perform data analysis, modeling, and pattern recognition, building prediction systems and data processing pipelines with Python, PyTorch, and scikit-learn.

Qualifications

• Masters degree in Computer Science, Data Science, or related field.
• 6+ months of commercial data science experience.
• Experience with automotive data and data-driven problem solving.

Responsibilities

• Perform data analysis, modeling, visualization, and pattern recognition.
• Build new prediction systems and work on data processing and modeling using techniques such as ANNs, graph algorithms, regression, decision trees, and feature extraction.
• Learn, contribute, and deepen engineering skills within an R&D data science team.

Skills

Python

Data analysis

Machine learning

Visualization

Communication

Education

MSc in Computer Science or Data Science

Tools

scikit-learn

PyTorch

Pandas

PostgreSQL

Job description

Jora New Zealand will close on 9th September 2026. Thank you for being with us, we are cheering you on as you continue your career journey.

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.