2 of 2 Contract Data Mining Jobs in the UK

Data Engineer - Leicester Based Role Purpose: This role is focused on supporting the development and implementation of a robust data model for banking data. You will work closely with a small technical team and liaise with IT to ensure the model is productionised effectively. The ideal candidate will bring strong technical data analysis skills, experience with big … data technologies, and the ability to communicate complex insights clearly to stakeholders. Key Responsibilities: Collaborate with a small team to build and refine a banking-focused data model. Liaise with IT teams to transition data models into production environments. Conduct data mining and exploratory data analysis to support model development. Apply strong SQL, Hadoop … and cloud-based data processing skills to manage and analyse large datasets. Support the design and structure of data models, with a working understanding of data modelling principles. Present findings and insights to stakeholders in a clear and engaging manner. Use reporting and visualisation tools such as Power BI to deliver business insights. Contribute to the development More ❯

Job Title: AWS Data Engineer Contract: 6 Months Location: Remote, UK Skills: Advanced knowledge of data management tools including SQL/DBMS, MongoDB, Hadoop and/or other big data technologies. Advanced programming skills in Java, Python, R, C++, C#, etc. Knowledge of statistical and data mining techniques (regression, decision trees, clustering, neural networks, etc. … . Experience with data visualization tool is plusExposure to online, mobile, and social data is a plus. Intellectual curiosity, along with excellent problem-solving and quantitative skills, including the ability to disaggregate issues, identify root causes and recommend solutions. Ability to independently own and drive model development, balancing demands and deadlinesStrong people skills, team-orientation, and a professional … teams bring the latest analytical techniques plus a deep understanding of industry dynamics and corporate functions to help clients create the most value from data. Must Have: Enterprise Knowledge Data Management, Data pipeline, Python, SQL, AWS Centralising data stored in RDBMS, Data Ingestion, and Uploading data into the database. Education: Bachelor's degree in quantitative More ❯