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# Data Scientist - Optimization

- **Company:** Amcor
- **Location:** Belgium
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Business Analytics Applications, Microsoft Azure, IBM ILOG CPLEX Optimization Studio (CPLEX), Data Infrastructure, Data Structures, Data Systems, Python (Programming Language), Machine Learning, SQL Databases, Feature Engineering, Data Pipelines
- **Published:** October 20, 2026
- **Apply:** https://www.amcor.com/careers/job-details/req_95571

## About the Role

+ MS or PhD in Data Science, Operations Research, Engineering, Applied Mathematics, or related field.
 + 5+ years (3+ with PhD) of industry experience in operations research, data science, and/or technical engineering field.
 + Demonstrated success improving organizational performance through analytics, AI/ML models.
 + Proven experience managing cross-functional projects with measurable impact.
 + Proven statistical modeling and machine learning skills; expertise in mathematical optimization is essential.
 + High Proficiency in Python, SQL, including building or contributing to data pipelines.
 + Experience with Azure cloud platform preferred. Experience with optimization solvers (HiGHS, Gurobi, CPLEX)
 + Proven understanding of polymer science, film extrusion, or food-packaging interactions is highly preferred.
#LI-onsite

## Description

As a Sr. Data Scientist in Amcor Core R&D, you'll lead the development of models and advanced analytics tools, enabling data-driven decision making across the global Flexibles R&D organization. This role develops mathematical optimization, machine learning, and AI solutions, and contributes to the data pipelines that feed them - to support cost reduction, manufacturing efficiency, and product design.
This position 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. Serves as a senior technical expert for optimization, AI, and advanced analytics, providing recommendations that help shape the R&D analytics roadmap and digital transformation initiatives.
Optimization, AI, & Advanced Analytics

 + 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 - 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 - including 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
Systems & Business Intelligence

 + 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
Cross-Functional Collaboration

 + 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 Intelligence teams and systems owners to align analytics tools with enterprise data standards and reporting frameworks
 + Collaborate cross-functionally to understand business challenges that can be solved via advanced analytics techniques and advise on data quality and structure required to support capability
 + Contribute as a senior technical consultant to solve complex business and technical challenges using data and advanced modeling techniques
What Success Looks Like

 + Scaled deployment of enterprise analytics solutions
 + Increased speed and quality of R&D decision-making
 + Strong adoption of AI and advanced analytics tools across the organization
 + Robust, trusted data infrastructure supporting innovation and growth