Your Impact

We are seeking an experienced and highly motivated Data Scientist to join our innovative Data Science team, to lead our AI/ML initiatives. You will lead the B2B SAP Hybris Portal Squad in the development of best-in-class recommendation engines leveraging customer personalisation. You will design, develop, and deploy machine learning models at scale, using Azure Machine Learning (Azure ML) and Machine Learning Operations (MLOps) best practices.

Your expertise will be key to developing scalable AI and ML solutions that address real-world challenges, and your ability to collaborate within a dynamic environment will be essential to success. If you have a strong track record in ML development and a passion for innovation, we’d love to hear from you.

About the Role

• Engage with stakeholders to fully understand business challenges and identify opportunities where AI/ML can deliver measurable impact
• Design, develop, and deploy comprehensive, end-to-end AI/ML models on Azure ML to solve commercial challenges.
• Engage throughout the entire ML lifecycle, including data preprocessing, feature engineering, model selection, hyperparameter optimisation, validation, deployment, and continuous monitoring.
• Contribute to the development of efficient and reusable ML workflows and pipelines, incorporating best practices for automated feature engineering, model retraining, and performance tracking.
• Partner with data and software engineers to seamlessly integrate feature stores, scalable data processing pipelines, and model-serving frameworks into production systems.
• Effectively communicate complex technical insights to both technical team members and non-technical stakeholders, to drive informed decisions

About You

• Degree in Data Science, Statistics or related field
• Proven hands-on experience in data science and ML/AI model development, deployment and operations.
• Strong proficiency in Python and SQL; familiarity with other languages (e.g., R) highly regarded.
• Strong experience in Azure ML including pipelines and Data Factory, an solid MLOps knowledge
• Solid knowledge of feature engineering, model evaluation and performance tracking.
• Collaborative mindset with strong communication skills, capable of translating technical concepts for diverse audiences.
• Experience in recommendation systems, time series forecasting, or geospatial analytics highly regarded         

Why Asahi Beverages?

Asahi Beverages is a leading multi-beverage organisation with a rich and varied history. Our regional head office is based in Melbourne, with sales, manufacturing and distribution centres located across Australia and New Zealand. We produce and market some of Australia’s most iconic beverage brands, including Schweppes, Pepsi Max, Gatorade, Cool Ridge, Great Northern, Carlton Draught, Vodka Cruiser, Asahi Super Dry and Allpress coffee. We have a great track record of success, we work at pace, our teams are high-performing, and there’s always a lot going on.  There are so many opportunities in our company for those ready to take them on!

We’re proud of who we are, and humble in how we work – we believe in creating a culture of excellence, innovation, and diversity. We offer a range of benefits such as product discounts, flexible work arrangements, health and wellness programs, and learning & development opportunities. We are passionate about our commitment to the communities we serve and are clear on our role in enhancing environmental sustainability and social responsibility.

We are a Circle Back Initiative employer and commit to responding to all applicants.

Please note: We are not accepting applications from recruitment agencies or third-party vendors for this role. Direct applicants only.