Biomedical, Engineering, Intern jobs

Let’s take care of work that matters - people, place and purpose. From roads to recycling to reporting, everyone at WM New Zealand (WM) helps take care of our people, protect our whenua and support our communities.

We’re more than waste management – we’re problem solvers, innovators, and hands-on doers. Every one of us, whether behind the wheel, on the tools, or shaping strategy behind the scenes, is helping build a better Aotearoa.
We all pull together on this waka and if you want work that matters, with people who’ve got your back, you’re in the right place.

About the role

We’re seeking a Data Science Intern to join our Data & Analytics team for an exciting internship. This opportunity offers hands-on experience in real-world AI/ML research and development, leveraging our modern data platform to explore foundational AI applications and develop proof-of-concepts that help shape future technology strategies.

What you'll be responsible for

• Conduct exploratory data analysis and research AI/ML applications

• Develop and prototype machine learning models using appropriate algorithms and frameworks to address specific business challenges.

• Research and evaluate emerging AI/ML methodologies, tools, and frameworks to recommend optimal technical approaches for our use cases.

• Build proof-of-concept solutions that demonstrate the potential value of AI/ML applications in our target business areas.

• Collaborate with the Data & Analytics team to leverage our modern data platform (Snowflake, dbt, Azure Data Factory) for AI/ML initiatives.

• Document research findings, model performance, and implement recommendations for future development roadmaps.

• Present research outcomes and technical concepts to business stakeholders and technical teams.

• Assist in developing evaluation metrics and testing frameworks for AI/ML solution assessment.

About you

Has studied or is studying Science, Technology, Engineering, Design or Business at a New Zealand tertiary education institution. For a duration of minimum 30 hours per week, for a maximum of 400 hours.

You'll bring:

• Has studied or is studying at NZQA level 6-10.
• If study has been completed, must have been studying towards one of the qualifications types listed in clause 1.3(b) and the closing date of the last semester must be less than 12 months ago. In practical terms, a student completing:
  • Level 6 Diploma in IT/Data Analytics
  • Bachelor of Data Science
  • Bachelor of Engineering (Honours)
  • Postgraduate Diploma in Data Science
  • Master's in AI/Data Science
  • PhD in Computer Science
• has the appropriate immigration status to work in New Zealand
• has not been previously employed by WM New Zealand in a full time position
• has not undertaken more than two R&D Experience grant internships with WM New Zealand

Why join WM New Zealand?

• Opportunity to work on meaningful projects that deliver real business impact
• Ongoing learning, development, and career progression opportunities
• Flexible working arrangements that support work-life balance
• Onsite café and parking for everyday convenience

At WM, we invest in our people - because they are our greatest asset.

Ready to make an impact?

If you're excited about building modern data solutions and want to be part of a team shaping the future of data at WM New Zealand, we'd love to hear from you.

Click "I'm interested" and apply today. Applications will be reviewed as they are received, so we encourage early applications.

WM New Zealand is an equal opportunity employer committed to maintaining a safe and drug and alcohol-free workplace.

Applicants must be based in New Zealand and hold current NZ work rights (citizenship, residency, or valid work visa).