Data Science Intern: AI/ML Prototyping for Impact

Wm-4dc9421

Auckland

On-site

NZD 28,000 - 41,000

Full time

2 days ago
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Benefits offered by this job

Meaningful projects
Flexible working arrangements
Learning and career progression

Job summary

WM New Zealand is seeking a Data Science Intern to join our Data & Analytics team for a hands-on internship focused on real-world AI/ML research and development. You will work with our modern data platform to explore foundational AI applications and develop proof-of-concept solutions that shape future technology strategies.

Responsibilities include exploratory data analysis, developing ML models, evaluating methodologies, and presenting findings to stakeholders.

Qualifications

  • Students studying at NZQA level 6–10.
  • Minimum 30 hours/week, maximum 400 hours.
  • Immigration status to work in New Zealand.
  • Not previously employed by WM New Zealand in a full-time position.
  • Not more than two R&D Experience grant internships with WM New Zealand.

Responsibilities

  • Conduct exploratory data analysis and research AI/ML applications.
  • Develop and prototype machine learning models with appropriate algorithms.
  • Research and evaluate emerging AI/ML methodologies and tools.
  • Build proof-of-concept solutions demonstrating potential AI/ML value.
  • Collaborate with Data & Analytics to leverage Snowflake, dbt, Azure Data Factory for AI/ML.
  • Document research findings, model performance, and recommendations.
  • Present outcomes to business stakeholders and technical teams.
  • Develop evaluation metrics and testing frameworks for AI/ML solutions.

Education

NZQA Level 6-10 study
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

Job description

WM New Zealand is seeking a Data Science Intern to join our Data & Analytics team for a hands-on internship focused on real-world AI/ML research and development. You will work with our modern data platform to explore foundational AI applications and develop proof-of-concept solutions that shape future technology strategies.

Responsibilities include exploratory data analysis, developing ML models, evaluating methodologies, and presenting findings to stakeholders.

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