Develop and maintain internal tools: Build full stack applications that enable and streamline the delivery of insights and visualisations by Applied Data Scientists, using technologies like Python, React and AWS.
Collaborate with technical consultants: Work closely with consultants to understand project needs and translate them into scalable, user-friendly tools and interfaces.
Design intuitive UIs and tooling: Take ownership of designing and prototyping user interfaces and internal tools that enhance the workflow of Applied Data Scientists, ensuring usability and efficiency.
Integrate with data platforms: Design and implement backend services that interact with Snowflake, Looker and other data platforms to support dynamic, data-driven applications.
Contribute to infrastructure and deployment: Use Terraform and CI/CD pipelines to ensure reliable, maintainable and secure deployment of applications in cloud environments.
Continuously improve systems and practice...