Senior Data Scientist, NZ

Icehouseventures

Christchurch

On-site

NZD 70,000 - 90,000

Full time

14 days+

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Benefits offered by this job

Healthy, Catered Lunches

Annual wellness allowance

Paid parental leave

Commute allowance or parking

Architecturally designed office

Flexible work schedule

Team celebrations and offsite events

Job summary

Partly in Christchurch is seeking a Data Scientist to join their R&D team. In this role, you will engage in meaningful projects that impact clients, honing your engineering skills through data analysis, modeling, and machine learning.

The ideal candidate possesses an MSc in a related field and has at least 6 months of commercial data science experience. Enjoy a collaborative workspace, learning opportunities, and attractive benefits like catered lunches and wellness allowances.

Qualifications

6+ months of commercial data science experience is required.
Experience working with automotive data is preferred.
Applicants should have a good understanding of data analysis, extraction, mapping, and/or machine learning.

Responsibilities

Tackle exciting R&D problems in the Data Science team.
Perform data analysis, modeling, visualization, and pattern recognition.
Build new prediction systems and work on data processing systems.

Skills

Commercial data science experience

Python proficiency

Data analysis and modeling

Problem-solving ability

Good communication

Education

MSc in Computer Science, Data Science, or a related field

Tools

scikit-learn

PyTorch

Pandas

Google Cloud

PostgreSQL

Job description

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. This position is based in our Christchurch 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 towards a sustainable future where anyone can fix anything.

Founded by ex-Rocket Lab engineers, we utilize 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 cataloging and managing parts online.

Our investors include 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.

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

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 gym memberships, rock climbing, physio, massage, GP 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 (four days on full pay for your first three months back).
Getting Here Is On Us - If you commute to a Partly office or co‑working space, choose from a paid 24/7 car park or commute allowance.
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 a few steps away.
Office‑First with Flexibility - In cities where we have an office (Christchurch, Auckland, London, San Francisco), we default there every day. This lets us move faster, make better decisions and build strong relationships. We also operate with a very high trust environment, so you can manage your time around your life, and flex your schedule to get your best work done.
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.