About the Role
We have an exciting opportunity for a Supply Chain Optimisation Specialist to join our UK Packaging division, playing a key role in the continuous improvement of our Supply Chain function.
In this role, you’ll be responsible for gathering, standardising, and analysing data to uncover performance gaps and generate actionable insights. Your work will drive the optimisation of supply chain processes and contribute to strategic decision-making across the business.
Key Responsibilities:
Data Cleansing: Identify and drive resolution of data quality issues.
Data & Performance Analysis: Provide analytical insights to enhance supply chain performance.
Network Optimisation: Assess the current supply chain portfolio to drive improvements.
Scenario Planning: Work cross-functionally with business leaders to create detailed plans for the 3-5yr horizon.
Scheduling Optimisation: Collaborate with our production planning teams to develop improved ways of working.
About You
We are looking for a data-driven individual with experience in supply chain operations and a passion for uncovering new insights. Your analytical mindset will allow you to interpret complex data, identify root causes, and prioritise problem-solving efforts.
With excellent interpersonal skills, you’ll be confident in influencing and collaborating with stakeholders across various business functions. Your ability to translate data into meaningful actions will be key to driving improvements in supply chain efficiency.
Minimum Requirements:
Bachelor's degree within business/supply chain or equivalent business experience
Previous experience of working in a Supply Chain role
Strong organizational, problem-solving, and analytical skills
Extensive experience working with large, complex datasets to create actionable insights
Understanding of statistical analysis and master data structures
Knowledge of sub-regional markets, logistics operations, inventory management, and supply chain processes
Previous experience working with relevant systems
This is a fantastic opportunity to drive change within a leading packaging organisation. If you’re passionate about data-driven supply chain optimization, we’d love to hear from you.
Location: Remote – with travel when needed
Hours: Full Time – Perm – Monday to Friday
Benefits
Additional benefits include:
25 days’ holiday plus bank holidays
Pension scheme
Life assurance
Income protection
Employee assistance program
Cycle to work scheme
Shopping discounts
About us
We’re DS Smith, the company who are redefining packaging for a changing world. We believe a better, more sustainable tomorrow is possible with the right people, who challenge and support one another to enact positive change. Today, we operate in more than 30 different countries, supporting customers across sectors like FMCG, industrial, and e-commerce. We deliver on quality, service, innovation, and added value to deliver market-leading sustainable packaging solutions our customers need. Our industry needs to transform, and we’re building the team to drive change across Europe and North America
To fulfil our purpose of redefining packaging for a changing world, we aim to build a diverse, motivated, and engaged workforce. Our goal is to create a culture of inclusion where everyone is treated fairly, differences are valued, and everyone has an equal opportunity to succeed.
Our people come from diverse backgrounds, bring different perspectives, ideas and experiences to generate unique solutions focused on present and future sustainability challenges. We welcome all candidates to apply, even those not meeting all criteria.
#LI-CE
Top Skills
What We Do
DS Smith provides innovative packaging solutions, paper products and recycling services with a commitment to sustainability and a circular economy.
Our core purpose is to Redefine Packaging for a Changing World, and our expert teams work closely with like-minded partners to incorporate renewable resources for products that minimize our environmental impact, reduce complexity and increase profitability through supply chain optimization








