Scott Cutts is a Data Architect and seasoned Scala engineer with over a decade of experience designing data platforms, feature engineering pipelines, and production ML workflows. Currently driving a Data Mesh migration for John Lewis Partnership, he has repeatedly built lakehouse platforms and ML promotion pipelines at scale using Spark, MLflow, AWS, Terraform and CI tooling. Comfortable moving teams from ad-hoc analytics to robust, production-ready systems, Scott blends hands-on implementation with a strong focus on best practices and observability for model drift and regression. His background spans risk and fraud detection, credit underwriting systems, and modernising data science stacks—evidence of a pragmatic engineer who enjoys mastering new frameworks and shipping reliable infrastructure.
10 years of coding experience
17 years of employment as a software developer
Bachelor of Engineering (BEng), Software Engineering, First Class Honors, Bachelor of Engineering (BEng), Software Engineering, First Class Honors at University of Newcastle
Open source platform for the machine learning lifecycle
Contributions:2 pushes, 3 branches in 11 months
pythonlifecyclemlmachine-learningmlops
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Scott Cutts - Data Architect At John Lewis Partnership