Data Scientist | Data Scientist

Job Summary

As a Data Scientist in this role, you will focus heavily on the engineering and operational side of data products, collaborating closely with analysts and product owners to build maintainable data pipelines. Your day-to-day involves developing and operating Databricks pipelines using Python and Lakeflow, while utilizing Azure Data Factory for ingestion and orchestration. A significant portion of the role is dedicated to quality assurance through automated deployments, versioning, and performance monitoring of production systems. This position is ideal for professionals who enjoy establishing standards and reusable templates within a cloud environment. The role is particularly attractive due to its strong focus on modern DataOps practices and a highly flexible work environment, including a 37.5-hour work week, hybrid working options, and comprehensive corporate benefits within the financial services sector.