Senior Data Scientist at MBIEPROD

Auckland, Auckland, New Zealand -

Full Time

Start Date

Immediate

Expiry Date

14 Jun, 26

Salary

143639.0

Posted On

16 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Algorithm Development, Network Analytics, Model Deployment, Monitoring Processes, Risk Identification, SQL, Python, Machine Learning, Snowflake, Model Serving, Data Collection, Data Cleaning, Statistical Knowledge, Analytical Techniques, Stakeholder Engagement

Industry

Government Administration

Description

Discover a career with purpose at MBIE Work in a dynamic environment and play a key role in delivering transformational change Apply appropriate analytical techniques to the preparation, development and testing of algorithms and network analytics capability in a timely fashion. Contribute to the development and implementation of monitoring processes to assess the effectiveness and performance of analytics interventions. Proactively engage with Joint Targeting and Analytics team members and stakeholders to assess risk identification including the development of viable recommendations for data science projects. Contribute to assessing specific risk identification and targeting issues and opportunities across the Visa Processing Value Chain and at the Border. Contribute to developing an approach for addressing those issues and opportunities through detailed analysis and/or interaction with key teams. Contribute to the management of existing models and further continuous improvement. Manage own workload and ensure your time is being used effectively and efficiently, in alignment with agreed strategy and plans and escalate issues when necessary. Permanent full-time opportunity – Auckland, Wellington, Christchurch Salary range: $118,390 - $143,639 + KiwiSaver & Wellness Benefit Tēnei tūranga - About the Role: The Our Future Services programme will deliver a more cost-effective immigration system that is more productive, more effective at managing immigration risk, and provides a better experience for our customers and staff.The programme will be delivered through multiple workstreams working in parallel, with each workstream implementing key initiatives with set milestone dates.You will be part of the Data Science team within Immigration New Zealand. As a Senior Data Scientist, you will play a key role in the Enabling Foundations Workstream and will report to the Manager, Data Science.You will be responsible for developing and deploying analytics models and network analytics capability and supporting the implementation of the Risk Analytics Platform and connection to ADEPT, and ongoing monitoring/tuning of model performance. You will also be required to support the business-as-usual activities of the Data Science team on an as needed basis. A willingness to step in and assist with other data related work on an as needed basis. Ngā pukenga me ngā wheako e hiahiatia ana - Skills and Experience Required Comprehensive statistical and analytical knowledge and the ability to apply this to solve problems. A demonstrated experience in the development of network analytics capability in the identification of risk. Experience supporting the operationalisation of machine learning models, including deployment, monitoring, and maintenance in Snowflake environments. An understanding of model serving and integration of data science models into operational systems and decision workflows. Experience working within modern data platforms and collaborating with engineering teams to ensure models can be reliably deployed, monitored, and maintained. Ability to communicate complex analytical concepts and model outputs clearly and concisely to technical and non-technical stakeholders. A demonstrable competency in the use of SQL and Python. Contributes to the end-to-end data science lifecycle, from data collection and cleaning to model development and maintenance. Experience in building safe and effective operational models, in line with the Algorithm Charter for Aotearoa New Zealand and other regulations and frameworks as appropriate or the ability to quickly acquire this knowledge. An understanding of relevant data science processes, systems, and methodologies to the identification of risk. Proven ability to develop trust, credibility, and effective working relationships with fellow team members. You must be a New Zealand citizen or Permanent Resident visa holder. Qualifications: Post graduate qualification, preferably in statistics, operations research, econometrics, or a similar discipline. The ability to gain and maintain a national security clearance as required. Ētahi kōrero mō MBIE - About MBIE: MBIE's goal is to create a resilient and high-performing economy that delivers real and ongoing quality of life for all New Zealanders. We do this by working with others to create an environment that supports businesses to be more productive and internationally competitive, enables all New Zealanders to participate in the economy through improved job opportunities and by working to ensure quality housing is more affordable. People are at the heart of our mahi, our way of working is guided by our values which shape our behaviours. Mahi Tahi – Better Together Māia – Bold and brave Pae Kahurangi – Build our Future Pono Me Te Tika – Own It Our aspirations are echoed in our Māori identity – Hīkina Whakatutuki – which broadly means ‘lifting to make successful'. MBIE recognises the partnership founded under Te Tiriti o Waitangi between Māori and the Crown and is committed to giving effect to Te Tiriti o Waitangi. We will do this through enduring, meaningful and effective partnerships with iwi, Māori, other Māori groups/organisations and the Crown, as this is critical to enable economic and social development, both for Māori and for wider Aotearoa New Zealand. We are committed to continuing to partner with iwi in order to find new sustainable solutions to address long standing systemic and cross-cutting issues facing Māori and wider Aotearoa New Zealand and we are also committed to identifying opportunities for iwi to lead and creating an enabling environment for iwi to leverage these opportunities. E mōhio ana a Hīkina Whakatutuki i puea ake te kōtuinga I waenganui i a ngāi Māori me te Karauna i Te Tiriti o Waitangi, ā, kei te whai ia ki te whakaū ake i Te Tiriti o Waitangi. Mā te whai kiko o ngā kōtuinga ahungaroa o ngāi wi, o ngāi Māori, me ētahi atu rōpū Māori ki te Karauna, katutuki tēnei. He āhuatanga nui tēnei e āhei ai ngā mahi whanaketanga ā-ohanga, ā-pāpori hoki ki a ngāi Māori me Aotearoa whānui. E whai tonu ana mātou ki te kōtui atu ki ngā iwi mō te rapu huarahi hou ki te whakaara i ngā kaupapakua roa nei e tāmi ana i a ngāi Māori me Aotearoa whānui, ā, e whai ana hoki ki te tautohu i ngā āheinga kōkiritanga mā ngā iwi, me te tautoko i ngā iwi kia whai mana ake ai ēnei āheinga.Me pēhea te tono - How to Apply: Click here to view a position description.When you are ready to apply please send a CV and cover letter telling us why you're the perfect fit for this role. All applications must be submitted via our online process.We can't wait to hear from you! Email Nik Sharma at nikhil.sharma@mbie.govt.nz quoting ref MBIE/19209 if you have any further questions.Applications close on Sunday, 29 March 2026

Responsibilities

The Senior Data Scientist will be responsible for developing and deploying analytics models and network analytics capability, supporting the implementation of the Risk Analytics Platform, and ongoing monitoring and tuning of model performance. This role also involves contributing to the development and testing of algorithms and proactively engaging with teams to assess risk identification and develop recommendations for data science projects.