2 of 2 Permanent Data Quality Jobs in Somerset

Nottingham Trent House (95002), United Kingdom, Nottingham, Nottinghamshire Head of Data Management About the role Capital One is seeking a collaborative and driven Data Management leader, who is passionate about providing the organisation with well governed data that is easy to discover, understand and use. As the Head of Data Management, you will lead a team … of Data Stewards and Data Management professionals to ensure the organisation is managing its data effectively. This role reports to the Head of Data. What you'll do Lead and develop a team of 12, responsible for the Stewardship and Governance of data across Capital One UK, fostering an open and high performing culture Create an … ecosystem where all data is discoverable, high quality and easy to use, in support of data driven decision making across the organisation Develop comprehensive data quality frameworks with clear metrics and success criteria Understand and drive adherence to regulatory and Enterprise policy requirements Demonstrate strong data risk awareness, and work with accountable executives and More ❯

Our client a high profile deep-tech organisation, urgently require an experienced AI/Data Developer to undertake a contract assignment. In order to be successful, you will have the following experience: Extensive AI & Data Development background Experiences with Python (including data libraries such as Pandas, NumPy, and PySpark) and Apache Spark (PySpark preferred) Strong experience with … data management and processing pipelines Algorithm development and knowledge of graphs will be beneficial SC Clearance is essential Within this role, you will be responsible for: Supporting the development and delivery of AI solution to a Government customer Design, develop, and maintain data processing pipelines using Apache Spark Implement ETL/ELT workflows to extract, transform and load … large-scale datasets efficiently Develop and optimize Python-based applications for data ingestion Collaborate on development of machine learning models Ensure data quality, integrity, and performance across distributed environments Contribute to the design of data architectures, storage strategies, and processing frameworks Work with cloud data platforms (e.g., AWS, Azure, or GCP) to deploy scalable solutions More ❯