Senior Data Scientist

Randstad; Christchurch; On-site; NZD 121,000 - 133,000; Full time

Benefits offered by this job

Five weeks annual leave

Sick leave 15 days

Flexible working arrangements

Reward & Recognition framework

Professional development

Employee networks (Rainbow, Pacific, W

Job summary

Randstad is recruiting a Senior Data Scientist for WorkSafe New Zealand. The role will apply advanced analytics, machine learning and AI to regulatory and organisational problems, building models and AI products to inform decision-making.

Based in New Zealand with the ability to be based at any WorkSafe office location, the role offers flexible working arrangements, professional development and a supportive data-driven environment.

Qualifications

• Substantial hands-on experience delivering data science projects end-to-end.
• Strong Python (or R) and SQL skills with data science libraries.
• Experience with LLM-based solutions such as RAG, agents or structured extraction.

Responsibilities

• Design, build and validate advanced analytical models and AI solutions.
• Apply statistical and ML techniques to complex problems and datasets.
• Design evaluation approaches for model outputs and performance measures.
• Support transition of models into operational use and monitor performance.

Skills

Python

SQL

LLM with RAG

MLOps

Data storytelling

Education

Data Science degree

Statistics

Mathematics

Computer Science

Tools

Azure

Core ML libraries

RAG tooling

Job description

Permanent, full-time position - can be based at any WorkSafe office location

About Us

He aha te mea nui o tēnei ao? He tangata, he tangata, he tangata.

Hello, Kia ora, Noa’ia, Talofa lava, Mauri, Mālō e lelei, Tālofa, Ni Sa Bula Vinaka, Fakaalofa lahi atu, Mālō ni, Kia orana , nǐ hǎo, Kamusta.

About your team / Ko te tīma

Enterprise Planning and Implementation is a new group established at WorkSafe to strengthen planning, coordination, and implementation across the organisation, particularly to improve how work is prioritised, sequenced, and supported through to delivery.

The Data, Analytics and AI team is at the heart of enabling data-driven decision-making across WorkSafe and is responsible for building and maintaining the data assets to meet WorkSafe’s data, insights and intelligence needs. Working closely with analysts, architects, engineers, and business stakeholders, the team develops the data foundations that support reporting, analytics, and organisational performance.

About the role / Ō te tūranga

As a Senior Data Scientist, you'll apply advanced analytics, machine learning and AI to complex regulatory and organisational problems. You'll work on things like risk-targeting projects that support prioritisation of regulatory activity, and AI agents that support frontline and regulatory work. Working alongside data engineers, analysts and business stakeholders, you'll design and deliver models and AI products that inform decision-making, improve our understanding of risk and harm, and support better outcomes for New Zealand workplaces.

What You'll Do/ Ko tōu ake mahi

• Design, build and validate advanced analytical models and AI solutions
• Apply statistical, machine learning and AI techniques to complex problems and datasets, including LLM-based approaches such as retrieval-augmented generation, agents and structured extraction.
• Design evaluation approaches for model and AI outputs, including test sets, human review and appropriate performance measures
• Support the transition of models and AI products into operational use, and monitor their performance once deployed
• Partner with data engineers, analysts and other specialists to deliver end-to-end solutions
• Set and lift technical practice across the team, including code review, reproducibility, documentation and MLOps
• Mentor and support less experienced data scientists
• Translate analytical findings into practical insights, and clearly communicate what models can and cannot tell decision-makers

What You'll Bring / Ko ngā pukenga ōu

• Substantial hands‑on experience delivering data science projects end‑to‑end, from problem definition and data preparation through to modelling, validation, deployment and monitoring in production.
• Strong Python (or R) and SQL skills, with experience using core data science and machine learning libraries
• Experience with LLM-based solutions such as RAG, agents or structured extraction, or strong classical ML depth and a demonstrated interest in developing this capability.
• Sound judgement in model validation, including selecting appropriate performance measures and identifying risks such as data leakage, overfitting and class imbalance
• Experience working in a cloud environment (Azure preferred) and familiarity with MLOps practices
• Strong capability working with large, complex or incomplete datasets
• Ability to explain technical concepts, evidence, limitations and uncertainty clearly to non-technical audiences
• Experience mentoring others or lifting technical practice within a team
• Relevant tertiary qualification in Data Science, Statistics, Mathematics, Computer Science or a related discipline, or equivalent practical experience

Nāu te rourou, nāku te rourou, ka ora ai te iwi.

Salary range / Awhe utu

As part of our remuneration framework, the full salary range for this position is $120,551-$158,328 with the expected appointment base salary $120,551 - $133,143 (KiwiSaver/SSRSS employer contributions are additional). From 1 April 2026 our KiwiSaver employer contribution increased to 3.5%.

We offer a range of benefits including

• 5 weeks annual leave
• 15 days sick leave
• Flexible working arrangements
• A Reward and Recognition Framework that celebrates the impact our kaimahi make – your mahi matters
• Professional development opportunities
• Employee‑led networks to promote the goals and needs of our diverse communities (Rainbow, Pacific, Women’s and Tū Rangatira Māori Network)

Skills

Data Science

Qualifications

• Relevant tertiary qualification in Data Science
• Statistics
• Mathematics
• Computer Science or a related discipline
• or equivalent practical experience

Education

Bachelor Degree

Relevant tertiary qualification in Data Science,Statistics,Mathematics,Computer Science or a related discipline,or equivalent practical experience

Applications close: 11.59pm, 14th September 2026

To be considered for this position, you must have the legal right to live and work in New Zealand.
Learn more about working with us :https://www.worksafe.govt.nz/about-us/careers/

This vacancy has been established as part of changes to WorkSafe's organisational structure after a review of WorkSafe's operating model identified opportunities to improve role clarity, ways of working and organisational effectiveness. As part of these changes, WorkSafe has established a number of new roles to ensure we are well placed to meet expectations now and in the future.

Kaimahi whose roles were affected by the structure change will be given preference for all vacancies and will be considered in the first instance.

Equal Employment Opportunity

At Randstad, we are passionate about providing equal employment opportunities and embracing diversity to the benefit of all. We actively encourage applications from any background.