Data Scientist

Job Description

Te Whiwhinga mahi | The opportunity

We have an exciting opportunity for a Data Scientist to join the Data Science Team in the Planning and Information Office. This role is ideal for a Data Scientist who is comfortable with the complexities of the University data environment and is eager to apply their skills in developing and fine-tuning machine learning models, automating data processes, and conducting advanced data analysis.

This role will work closely with stakeholders across the University and within Planning & Information to develop advanced analytical solutions to a variety of strategic performance questions. We take an iterative, cross-functional approach to the development of solutions with data science leading the way with complex analyses and through to their operationalisation through our business intelligence ecosystem.

For more detailed information, please refer to the Position Description.

Please note this is a full-time (37.5 hours/ week) permanent position, with a salary range of $89,000 – $95,000 depending on skills and experience.

Mō tō mātou rōpū | About the team

The Planning and Information Office is part of the Vice-Chancellor’s Office, and coordinates the University’s planning and accountability activities, as well as liaising with the Tertiary Education Commission and Ministry of Education. It provides oversight of the University’s reporting strategy and decision support information and provides analysis and information that supports the University’s strategic and tactical decision-making and academic quality assurance.

Nga Pūkenga Motuhake | Important Skills

The main accountabilities for this role include:

• Contributing to the implementation of the University Data Strategy and the development roadmap for the provision of data and insights.
• Managing the planning, design, and execution of the data science programme of work.
• Contributing to the maintenance of a high-quality internal information repository.
• Guiding and supporting the development of advanced analytics solutions across Planning & Information teams.

He kōrero mōu | About you

You will have qualifications and expertise in applying advanced analytic techniques to university problems. You should understand the ethical use of data to address strategic questions and contribute to cross-functional teams. Essential skills include proficiency in Python and R, experience with relational databases and data warehousing, and the ability to perform exploratory data analysis using visualizations. Strong communication skills to convey findings to both technical and non-technical stakeholders are required. Additionally, familiarity with Computer Science terminology, experience in IT or Computer Science projects, and prior work in similar roles is necessary.

Additional Information

Ngā āhuatanga kei a mātou | What we offer

The University of Auckland is New Zealand’s leading university and maintains significant computational, laboratory and analytic facilities. Auckland itself is frequently rated as one of the world’s most liveable cities. 

The University is committed to providing an excellent working environment through:

• Flexible employment practices (including working from home, flexible hours)
• Up to 6.75% company superannuation scheme
• A competitive salary with five weeks’ annual leave

In addition, we also offer career development programmes, discounted car parking, a generous parental leave allowance, childcare and a number of other discounts on internal and external services. 

For more information please visit Staff Benefits.

Waipapa Taumata Rau | The University of Auckland

The University of Auckland is New Zealand’s leading university. We employ more than 5400 academic and professional staff to support over 41,000 students, making us one of NZ’s largest employers.  

Me pēhea te tuku tono | How to apply

Applications must be submitted online, by the closing date of 9th February 2025 to be considered. Please include your cover letter and your CV highlighting how you can meet the skills and experiences detailed above.

Please note: Due to a systems implementation, there will be a delay in our recruitment process meaning that applications cannot be reviewed prior to the closing date. We thank you in advance for your patience.  

Please reach out to Diego Enriquez via d.enriquez@auckland.ac.nz for a confidential conversation. Please note we are happy to answer your questions, but we do not accept applications by email.

Equity

The University is committed to meeting its obligations under the Treaty of Waitangi and achieving equity outcomes for staff and students in a safe, inclusive, and equitable environment.  For further information on services for Māori, Pacific, women, LGBTQIATakatāpuiMVPFAFF+, people with disabilities, parenting support, flexible work and other personal circumstances go to www.equity.auckland.ac.nz

The University is committed to providing a safe, inclusive, and equitable environment where everyone can thrive. For further information see Te Ara Tautika | the Equity Policy and visit www.equity.auckland.ac.nz