Data Scientist Intern

Job Title: Data Scientist Intern Company: Waste Management Job Category: Machine Learning Roles & Responsibilities: 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. Job Description About the role * 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. * 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 WM New Zealand is an equal opportunity employer committed to maintaining a safe and drug and alcohol\-free workplace. Work Location: Auckland, Auckland, New Zealand Availability: Full time

Qualifications 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. * 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 Key Skills: Machine Learning Salary: Not disclosed