Introduction

Brunel has partnered with a leading resources company on a contract opportunity for a Senior Data Scientist who can deliver ML and GenAI solutions into production and work closely with stakeholders in a complex environment.

What are you going to do

This role focuses on delivering end-to-end data science and AI solutions in complex production environments, partnering with stakeholders to turn real business problems into reliable, scalable outcomes.

Key Responsibilities:

  • Analyse complex datasets to deliver actionable insights, communicating outcomes to technical and non-technical audiences.
  • Gather and validate requirements for data science initiatives, ensuring alignment to business objectives.
  • Lead the development, optimisation, and deployment of ML and GenAI solutions, including model evaluation and responsible use.
  • Apply AI ethics and governance principles to ensure solutions are safe, explainable, and fit-for-purpose.
  • Conduct applied research and stay current with open-source and emerging technology trends to uplift capability.
  • Build production-ready software using strong engineering practices, testing, and validation.
  • Contribute to solution architecture and systems design to support effective enterprise integration.
  • Support data integrity, security, and accessibility, including data management processes and pipeline optimisation.
  • Mentor and coach other data scientists, contributing to standards and best practices across the team.

Essential skills and knowledge 

  • A bachelor's degree in computer science, software engineering, mathematics, statistics, machine learning, or a related field.
  • At least 5 years' experience in delivering end-to-end data science and AI solutions in complex, production environments, preferably within the mining, energy, green energy, or heavy industrial operations.
  • Demonstrated experience in designing, evaluating, and deploying machine learning and generative AI solutions in enterprise environments, including prompt engineering, model evaluation and responsible use.
  • Experience in natural language processing, computer vision, or predictive analytics is highly regarded.
  • Familiarity with Git/GitHub, experimentation workflows, and collaborative model development.
  • Strong proficiency in Python, JavaScript/TypeScript, SQL, and at least one deep machine learning framework such as TensorFlow or PyTorch.
  • Experience and understanding of platforms such as Snowflake, Kafka, S3, and Databricks or SageMaker.
  • Familiar with cloud platforms such as AWS or Azure.
  • Practical experience with software development industry best practices.
  • Highly proficient in the use of Generative AI for analysis, development, deployment and decision-making.

What we offer

About Brunel:

Brunel is a recruitment and flexible workforce solution provider which connects talented people with opportunities throughout Australasia and around the world. We specialise in highly skilled roles across a variety of technical, professional, trades and craft disciplines, pairing candidates with industry-leading projects and organisations on a contract, permanent or secondment basis.

Operating in Australasia since 1997, Brunel has major bases of operation in Perth, Sydney, Brisbane and Port Moresby, which are further backed by the strength and reach of a truly global network spanning over 45 countries, 120 offices and 45 years of successful operation.

Brunel is proud to be equal opportunity employer and encourages applications from Aboriginal and Torres Strait Islander and female candidates.

How to apply:

If you meet the above requirements and would like to be considered for this role, please submit your interest using the 'Apply' button. Applying is quick and easy - just make sure you have the following documents ready to go:

  • Resume
  • Cover Letter (optional)

Closing: March 21, 2026

Do you have any questions about this vacancy?

Vacancy reference: TR-279264

JB

Corporate recruiter

Joel Bellinger-Brown

Contact

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