About the role

You'll take complex analytical questions and turn them into clear, practical answers that help customers make better decisions. This role bridges the gap between technical data and real-world business outcomes, working directly with clients, collaborating with Machine Learning and Data Science teams, and partnering with Business Development to demonstrate how technology creates tangible value.

Key responsibilities

• Build compelling business cases: Develop bespoke ROI models, value assessments and scenario analyses tailored to individual customer operations.
• Turn trial data into commercial outcomes: Analyse pilot deployments and product trials to quantify impact, demonstrate value and support commercial adoption.
• Make data tell a story: Create clear, insightful reports, visualisations and presentations that translate technical findings into business decisions.
• Work directly with clients: Present findings, answer technical questions and help customers understand the operational and financial benefits of the technology.
• Build smarter, faster: Use AI-assisted coding tools to rapidly develop analyses, dashboards and client-facing prototypes.
• Collaborate across teams: Work closely with ML and Data Science, Business Development, Product and company Insights to turn successful analytical approaches into reusable solutions.
• Raise the bar: Document methodologies, challenge assumptions and develop transparent, reproducible analytical workflows.

About you

• Python: Strong proficiency with pandas, NumPy and the scientific Python ecosystem for data manipulation, analysis and modelling.
• SQL: Confidence querying relational databases to extract, transform and analyse data.
• Statistical thinking: A solid grounding in descriptive and inferential statistics, with the judgement to select appropriate methods and interpret results accurately.
• Visualisation and reporting: Experience creating effective charts and communicating findings through clear reports and presentations.
• AI-assisted development: Practical experience using LLM-based coding tools such as Claude Code or Codex to accelerate analysis, build prototypes and improve productivity.
• Communication: Strong written communication skills and the ability to explain complex findings to non-technical audiences.
• Ownership: A rigorous, self-directed approach to work, with a focus on delivering useful, reliable outcomes.

About us

The client is using cutting-edge technology, machine learning and objective measurement to transform how the world measures meat quality and yield. Their technology spans computer vision, laser spectroscopy, ultrasound and cloud analytics, helping customers across Australia, New Zealand and North America make smarter, data-driven decisions — from live animal to finished carcass.