Job description
We're working with a business that's investing heavily in data science to drive smarter, faster decision-making across its supply chain. They're looking for a Senior Data Scientist to design and deploy machine learning models that have a clear, measurable impact on efficiency, productivity and cost.
This role sits at the intersection of data, engineering and the business. You'll work closely with data engineers, product teams and senior stakeholders to turn complex data into practical solutions that actually get used.
What you'll be doing
Design, build and deploy machine learning and advanced analytics models focused on supply chain use cases
Work with large, complex datasets from multiple internal and external sources
Partner with Data Engineering on data quality, pipelines and production-ready models
Validate, monitor and continuously improve deployed models to ensure reliability and performance
Translate technical outputs into clear insights and recommendations for non-technical stakeholders
Support prioritisation and delivery of data science workstreams
Build business cases by quantifying impact on supply chain KPIs and financial outcomes
Mentor and guide junior data scientists, promoting best practice across the team
Explore and apply emerging technologies, including generative AI, where they add real value
What they're looking for
Minimum 5 years' experience in data science or applied machine learning
Strong hands-on experience building and deploying ML models in production
Solid understanding of MLOps and model lifecycle management
Experience working closely with engineers and business stakeholders
Ability to communicate complex ideas clearly and pragmatically
Supply chain experience is a big plus, but not essential
To be considered, please respond with your latest CV.
