Data Science Intern/Graduate, NZ

The role

You will work with Applied ML and DataQA teams to investigate technical problems in vehicle and parts workflows. You will use SQL and Python to analyze real-world data and build lightweight tools to quantify problem types.

What you will do

• Dig into real parts data to build a data-backed understanding of problems.
• Help quantify problem types by breaking issues into measurable categories.
• Measure where quality is lost using SQL, Python, sampling, and internal tools.
• Turn analysis into findings that Applied ML, Product, and DataQA can act on.
• Build lightweight tooling including scripts, small dashboards, and review workflows.
• Partner with Applied ML, DataQA, and Product teams.
• Produce reproducible analyses and write clear notes.

Required qualifications

• Studying or recently studied data science, statistics, computer science, mathematics, engineering, or a related field.
• Working SQL and Python.
• Good problem decomposition.
• Curiosity about how things really work.
• Clear communicator.
• Bias for learning.

Nice to have

• Exposure to classification problems
• Data quality or QA work
• Entity matching
• Catalog data
• Automotive data
• Working alongside ML or human-in-the-loop systems

Benefits

• Healthy, Catered Lunches
• Snacks and drinks
• $1,500 annual wellness allowance
• 3 months of fully paid parental leave for primary caregivers
• Flexible return-to-work for primary caregivers
• Paid 24/7 car park or commute allowance
• Architecturally designed offices
• Quarterly season openers
• Weekly happy hours
• Monthly lunches
• Annual global offsite
• Relocation allowance

About the company

Partly is building the infrastructure for anyone to repair anything using frontier AI. The company is founded by ex-Rocket Lab engineers.