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Endeavour Group

Retail drinks and hospitality operator

Principal Data Scientist

Applied Machine LearningPosted on Nov 13
Full-timeNo salary listed

About the Job

Requirements

  • Proven track record of leading complex data science and AI initiatives from concept to production, setting technical direction across teams, and delivering measurable commercial outcomes, ideally within retail, supply chain, or merchandising.
  • Deep expertise across the full machine learning lifecycle, from problem framing and causal experimentation to production deployment and monitoring, with strong proficiency in Python, SQL, time-series forecasting, optimisation, and predictive modelling.
  • Hands-on experience designing, evaluating, and deploying agentic AI systems and multi-agent workflows using frameworks such as LangGraph, Google ADK, or similar orchestration tools.
  • Practical experience using AI development tools such as Cursor, Claude Code, or GitHub Copilot to accelerate prototyping and delivery while maintaining code quality, testing, security, and engineering standards.
  • Hands-on experience building and scaling machine learning solutions in enterprise cloud environments such as GCP, AWS, or Azure.
  • Ability to align diverse technical and non-technical stakeholders, translate technical context into clear commercial implications, and influence decisions without formal authority.
  • Ability to navigate ambiguity, assess novel AI approaches, and champion technical excellence across engineering and science teams.

Responsibilities

  • Set the technical direction for Data Science and AI in the Retail Merchandising Product pillar, partnering with Product, Engineering, and business leaders to shape the technical roadmap.
  • Apply systems thinking to manage cross-squad reusable assets and guide architecture, modelling, and evaluation decisions.
  • Design, build, and scale forecasting, clustering, optimisation, and agentic AI solutions for promotion, pricing, range, and space optimisation.
  • Translate model outputs into actionable recommendations and operational workflows that improve category management decisions and commercial outcomes.
  • Identify and shape high-impact Data Science and AI opportunities, anticipate delivery risks, and validate new approaches against business value, feasibility, and scalability.
  • Design experiments and apply causal inference methods where appropriate to test hypotheses and validate incremental business impact.
  • Provide technical oversight across the model lifecycle, from problem framing and development to deployment, monitoring, and continuous improvement, setting best practices and standards.
  • Partner with technical teams to frame business problems, resolve technical trade-offs, and deliver scalable, production-ready AI products.
  • Remain hands-on with the most complex technical challenges and establish approaches the wider team can utilise.
  • Communicate analytical findings, trade-offs, and model insights clearly to technical and non-technical audiences so data-driven decisions are trusted and adopted.

About the Company

Endeavour Group

Retail drinks and hospitality operator

Endeavour Group operates a national portfolio of drinks retail and hospitality brands, bringing people together through social experiences. It encompasses more than 1,600 stores and 330 hotels, including Dan Murphy’s, BWS and ALH Hotels, and uses shared capabilities in format, range, digital, data, and analytics to tailor propositions. Customers access a range of retail and hospitality offerings—beverage shopping at Dan Murphy’s and BWS, plus hospitality experiences at ALH Hotels—driven by digital tools and data insights. The company differentiates itself by its large, diversified brand portfolio, national scale, and emphasis on sociable experiences, supported by a 28,000+ strong team. Its goal is to create a more sociable future together and maintain market leadership in retail drinks and hospitality.

Company size
10,001+
Company stage
IPO
Headquarters
New South Wales, Australia
Founded
Not listed

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