Accelerate the possible by joining a winning Amcor team that’s transforming the packaging industry and improving lives around the world.

At Amcor, we unpack possibility through our innovative and responsible packaging to provide solutions that benefit our customers, our people and our planet.  More than 10,000 consumers worldwide encounter our products every second and rely on us for safe access to food, medicine and other goods. We value their trust by making safety our guiding principle. It’s our core value and integral to how we do business.

Beyond this core principle, our shared values and behaviors unite us as we work together to elevate customers, shape lives and protect the future. We champion our customers and help them succeed. We play to win – adapting quickly in an everchanging world – and make smart choices to safeguard our business, our communities and the people we serve for generations to come. And we invest in our world-class team, empowering our colleagues to unpack their potential, because we believe when our people grow, so does our business.

To learn more about playing for Team Amcor, visit www.amcor.com | LinkedIn | YouTube

We are seeking a highly accomplished and forward-thinking Manager of Applied Data Science to lead the development and deployment of advanced analytics solutions that transform our supply chain. This role is central to our data-driven strategy, responsible for architecting scalable models, guiding technical innovation, and enabling smarter, faster decisions across our AFC&D Business Group.

This leader will take ownership of the back-end analytics ecosystem—including data sourcing, feature engineering, machine learning, and optimization—while also contributing to front-end delivery and stakeholder engagement. The ideal candidate will bring a blend of technical mastery, strategic thinking, and leadership experience, with a track record of delivering measurable impact through data science.

Key Responsibilities

· Design and implement predictive and prescriptive models to optimize supply chain functions such as demand forecasting, inventory planning, production scheduling, and network design.

· Lead stakeholder engagement around data architecture, sourcing strategy, and technical feasibility—collaborating with IT, data engineering, and business teams to ensure robust and scalable data infrastructure.

· Develop and operationalize machine learning solutions using modern frameworks (e.g., PyTorch, TensorFlow, XGBoost), and manage model lifecycle across environments.

· Drive innovation in supply chain analytics, including experimentation with LLMs, RAG architectures, simulation modeling, and agentic AI where applicable.

· Collaborate with the front-end analytics leader to integrate back-end models into intuitive dashboards, decision tools, and executive reporting.

· Foster a culture of technical excellence and mentorship, contributing to the development of junior talent and scalable team practices; may assume formal leadership responsibilities as the data science function expands.

· Establish best practices in data governance, model interpretability, and responsible AI across analytics initiatives.

· Present insights and strategic recommendations to senior leadership, influencing decisions with data-backed narratives and scenario modeling.

· Perform additional responsibilities and special projects as assigned to support departmental and organizational objectives.

Qualifications

· Bachelor’s degree in Data Science, Computer Science, Engineering, Operations Research, or a related field; Master’s or PhD preferred.

· 7+ years of experience in data science, with at least 3 years in a leadership role focused on supply chain, manufacturing, or logistics.

· Proven expertise in machine learning, optimization, and statistical modeling; experience with LLMs, RAG, and simulation techniques is a plus.

· Advanced proficiency in Python, SQL, and cloud platforms (Azure, AWS, GCP); experience with dbt, MLFlow, and modern orchestration tools preferred.

· Strong understanding of supply chain processes and performance metrics.

· Demonstrated ability to lead cross-functional projects and influence technical and non-technical stakeholders.

· Excellent communication and storytelling skills, with the ability to simplify complex models for executive audiences.

· Experience in CI methodologies (Lean, Six Sigma) and their integration with analytics is a plus.

· Willingness to travel occasionally to Evansville or other company locations.

About Amcor
Amcor is a global leader in packaging solutions for consumer and healthcare products. With industry-leading innovation capabilities, global scale and technical expertise, we help our customers grow and meet the needs of millions of consumers every day. Our teams develop responsible, more sustainable packaging in flexible and rigid formats across multiple materials. Supported by a commitment to safety, ~70,000 colleagues across ~140 countries bring our global capabilities to local customers and provide local access to global brands. Our work is guided by our purpose of elevating customers, shaping lives and protecting the future.