We are seeking a Data Specialist / Data Scientist to help transform how maintenance strategy and asset management activities are delivered through data, automation and AI.
This role will work closely with engineering, maintenance and operational stakeholders to understand existing processes, identify opportunities for improvement, and develop practical, scalable solutions that reduce manual effort and improve decision-making.
We're looking for someone who enjoys solving real business problems, has strong technical capability, and can bridge the gap between data, technology and engineering teams.
Key Responsibilities
- Partner with engineering and business stakeholders to understand maintenance and operational processes.
- Identify opportunities to automate manual and repetitive workflows.
- Develop data-driven applications, dashboards and tools to improve business efficiency.
- Build and optimise data solutions using Snowflake, SQL and Python.
- Leverage AI and GenAI technologies to streamline processes and enhance decision-making.
- Design and implement solutions involving AI agents, document extraction and intelligent automation.
- Develop scalable, maintainable solutions that can be adopted across multiple asset management functions.
- Support continuous improvement initiatives through data analysis and process optimisation.
- Communicate technical concepts clearly to both technical and non-technical stakeholders.
You are a hands-on problem solver with a passion for using data and technology to improve the way organisations work. You have experience delivering practical automation and analytics solutions and can confidently engage with stakeholders to understand their challenges and translate them into effective outcomes.
Essential Skills & Experience
- Strong experience with:
- SQL
- Python
- Snowflake
- Demonstrated experience automating manual business processes.
- Experience developing solutions using:
- Power Platform
- Power Apps
- Power Automate
- Copilot Studio
- Streamlit
- Strong stakeholder engagement and communication skills.
- Ability to understand and interpret engineering or operational processes.
- Experience delivering scalable data, analytics and automation solutions.
- Experience within:
- Maintenance
- Asset Management
- Mining
- Resources
- Energy
- Utilities
- Heavy Industry
- Exposure to:
- Cortex
- AI Agents
- Generative AI solutions
- Document processing and extraction technologies
- Experience working with operational or engineering data.
Peoplebank and Leaders IT are committed to creating a diverse and inclusive workplace where everyone belongs. We welcome applications from people of all backgrounds, identities, and experiences. If you need adjustments to the recruitment process due to your circumstances, please let us know—we’re here to support you.
