2 of 2 Remote Contract Data Mining Jobs

Contract Opportunity: Data Engineer - 6-Month Inside IR35 Location: Milton Keynes (Hybrid - 3 Days in Office per Week) Duration: 6 Months IR35 Status: Inside IR35 Rate: Flexible, Depending on Experience We're looking for an experienced Data Engineer to join a project-focused team working on the development and implementation of a robust data model for banking … The engagement is inside IR35 , and rates are flexible based on experience. Role Purpose: You'll collaborate with a small technical team and liaise with IT to ensure the data model is effectively productionised. The ideal candidate will have 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 More ❯

My client, a specialist engineering consultancy with a client base spanning a number of technical engineering sectors, requires an experienced Data Scientist for a contract role outside IR35. This role is 100% WFH. The Data Scientist will utilise their expertise to analyse complex data sets and provide insights to give clients a competitive advantage. The Data Scientist will be responsible for designing and implementing data-driven solutions to address business problems and collaborate with cross-functional teams to deliver high-quality analytics solutions. The Data Scientist will have experience in using a variety of techniques to analyse complex datasets and develop data models. You will be experienced in data visualisation, understanding … how to contextualise results and communicate insights to both technical and non-technical audiences. Responsibilities Work with cross-functional teams to identify business problems and translate them into data- driven solutions. Develop algorithms and statistical models to analyse and interpret complex data sets. Collaborate with software engineers to integrate models into the production environment. Communicate insights and results More ❯