About This Role
This role is for a Senior Data Scientist in Amcor Core R&D, leading the development of models and advanced analytics tools to enable data-driven decision-making across the global Flexibles R&D organization. The position involves developing mathematical optimization, machine learning, and AI solutions, and contributing to data pipelines to support cost reduction, manufacturing efficiency, and product design. It works closely with cross-functional teams to integrate enterprise data into the R&D development process and enable scalable, high-impact capabilities that drive business results.
Responsibilities
- Lead the development of models and advanced analytics tools
- Enable data-driven decision making across the global Flexibles R&D organization
- Develop mathematical optimization, machine learning, and AI solutions
- Contribute to data pipelines that feed these solutions to support cost reduction, manufacturing efficiency, and product design
- Work closely with cross-functional teams to integrate enterprise data into the R&D development process
- Enable scalable, high-impact capabilities that drive business results
- Serve as a senior technical expert for optimization, AI, and advanced analytics
- Provide recommendations that help shape the R&D analytics roadmap and digital transformation initiatives
- Champion the digital transformation of R&D, scaling advanced analytics, optimization, AI, and automation solutions
- Build optimization models that minimize material cost across product structures and recipes while meeting performance requirements
- Develop scheduling and process optimization models, including sequencing for transition waste minimization and improving how products are matched to asset capabilities
- Develop and deploy analytics tools and predictive models that improve the speed, throughput, and robustness of the R&D design and development process
- Include early detection of design risks and material property prediction
- Translate complex analytical insights into clear, actionable recommendations for technical and non-technical audiences
- Continuously improve modeling approaches, optimization techniques, and analytics tools through adoption of best practices and emerging methods
- Act as a steward for proper use and protection of confidential R&D data
- Serve as subject-matter-expert in Amcor R&D systems and data structures
- Use knowledge of product structures, R&D design process and manufacturing processes to identify opportunities where advanced analytics tools can create value for Amcor
- Design and implement data structures and features that enable development of advanced analytic tools and predictive models
- Perform data modeling and feature engineering to support optimization and analytics tools, ensuring data structures are fit for advanced modeling and scalability
- Partner closely with data engineers to ensure robust data pipelines and high-quality, connected data sources across systems
- Act as a strategic partner to R&D, Operations, Procurement, Finance, Commercial, and IT to understand business challenges and propose solutions that connect to Advanced Analytics team strategy
- Collaborate with Business
About the Company
Amcor is transforming the packaging industry and improving lives around the world through innovative and responsible packaging. More than 10,000 consumers worldwide encounter their products every second, relying on them for safe access to food, medicine, and other goods. The company values trust by making safety its guiding principle and invests in its world-class team.
