Were seeking a Data Science Intern to join our Data & Analytics team for an exciting 12-week internship programme. As a postgraduate or doctoral student in Statistics Computer Science Data Science or a related quantitative field youll gain hands-on experience working on real-world AI/ML projects while contributing meaningful insights to our data-driven initiatives.
Youll apply your strong foundation in statistical analysis and machine learning to develop and evaluate models perform exploratory data analysis and present technical findings to diverse audiences. This is an excellent opportunity to bridge academic knowledge with practical application working with modern data technologies including Python SQL and cloud platforms like Snowflake & Azure.
Qualifications :
If youre passionate about data science eager to apply your academic knowledge to real-world challenges and excited to grow your skills in a supportive environment this internship is for you! Were looking for a curious driven student who thrives on solving complex problems and can work both independently and collaboratively. Ideal candidates will have:
- Currently enrolled or recently completed (within last 12 months) postgraduate or doctoral studies in Statistics Computer Science Data Science or related quantitative field with a strong foundation in statistical analysis and machine learning
- Proficiency in Python (scikit-learn pandas numpy matplotlib/seaborn) and SQL
- Understanding of data science methodologies including exploratory data analysis feature engineering and model validation plus familiarity with cloud platforms (preferably Snowflake & Azure)
- Strong analytical and problem-solving abilities with excellent communication skills to present technical findings to both technical and business audiences
Additional Information :
What we offer:
- Competitive Salary Package
- Valid and rewarding career path
- Work Life Balance Initiatives
- Professional Development Opportunities
- Onsite Café and Carpark
- Discounts on various products for you and your family to enjoy
- Discounts on Fuel at Z!
To apply for this role click Im interested
Please note - we do not always work to fixed closing dates and may start considering applications as they are received so we encourage you to apply early.
WM is an EEO employer and promotes drug and alcohol-free workplaces.
You must be in New Zealand and hold a current work visa / residency or NZ citizenship.
Remote Work :
No
Employment Type :
Full-time
Were seeking a Data Science Intern to join our Data & Analytics team for an exciting 12-week internship programme. As a postgraduate or doctoral student in Statistics Computer Science Data Science or a related quantitative field youll gain hands-on experience working on real-world AI/ML projects whi...
Were seeking a Data Science Intern to join our Data & Analytics team for an exciting 12-week internship programme. As a postgraduate or doctoral student in Statistics Computer Science Data Science or a related quantitative field youll gain hands-on experience working on real-world AI/ML projects while contributing meaningful insights to our data-driven initiatives.
Youll apply your strong foundation in statistical analysis and machine learning to develop and evaluate models perform exploratory data analysis and present technical findings to diverse audiences. This is an excellent opportunity to bridge academic knowledge with practical application working with modern data technologies including Python SQL and cloud platforms like Snowflake & Azure.
Qualifications :
If youre passionate about data science eager to apply your academic knowledge to real-world challenges and excited to grow your skills in a supportive environment this internship is for you! Were looking for a curious driven student who thrives on solving complex problems and can work both independently and collaboratively. Ideal candidates will have:
- Currently enrolled or recently completed (within last 12 months) postgraduate or doctoral studies in Statistics Computer Science Data Science or related quantitative field with a strong foundation in statistical analysis and machine learning
- Proficiency in Python (scikit-learn pandas numpy matplotlib/seaborn) and SQL
- Understanding of data science methodologies including exploratory data analysis feature engineering and model validation plus familiarity with cloud platforms (preferably Snowflake & Azure)
- Strong analytical and problem-solving abilities with excellent communication skills to present technical findings to both technical and business audiences
Additional Information :
What we offer:
- Competitive Salary Package
- Valid and rewarding career path
- Work Life Balance Initiatives
- Professional Development Opportunities
- Onsite Café and Carpark
- Discounts on various products for you and your family to enjoy
- Discounts on Fuel at Z!
To apply for this role click Im interested
Please note - we do not always work to fixed closing dates and may start considering applications as they are received so we encourage you to apply early.
WM is an EEO employer and promotes drug and alcohol-free workplaces.
You must be in New Zealand and hold a current work visa / residency or NZ citizenship.
Remote Work :
No
Employment Type :
Full-time
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