3 of 3 Remote Data Mining Jobs in the City of London

Senior Data Architect is required by this SaaS vendor operating within the Retail sector, where you will oversee conceptual and logical data systems, adhering to existing data strategies. You'll design data solutions to optimise and improve the product offering. Ideally you can demonstrate experience across - Full data production life cycle Conceptual and logical data designs Data modelling (3NF) Data mining Data Vaults/Kimball methodology Azure Cloud Services - Databricks, ADF, CosmosDB, Azure SQL Data warehouse design, Data lakes/lakehouses Working with both structured and unstructured data is essential Stakeholder engagement across business and data teams Please note this role requires time onsite in London More ❯

Data Scientist Up to £70,000 London (Remote First) Company: Join a leading B2B Travel and Hospitality company that partners with major global airlines and hotel brands. In this role, you’ll drive revenue growth and elevate the e-commerce experience by leveraging advanced forecasting, automation, and data-driven insights. Responsibilities: Guide technical efforts to improve the performance … propose initiatives to shape the long-term scientific vision. Own and actively contribute to the design and development of internal machine learning and forecasting libraries. Work with product and data science management to develop key results for given product objectives. Establish scalable and efficient practices for data mining, ML model development, validation and inference. Building demand forecasting More ❯

Senior Data Scientist Up to £80,000 London (Remote First) Company: Join a leading B2B Travel and Hospitality company that partners with major global airlines and hotel brands. In this role, you’ll drive revenue growth and elevate the e-commerce experience by leveraging advanced forecasting, automation, and data-driven insights. Responsibilities: Lead technical efforts to improve the … propose initiatives to shape the long-term scientific vision. Own and actively contribute to the design and development of internal machine learning and forecasting libraries. Work with product and data science management to develop key results for given product objectives. Establish scalable and efficient practices for data mining, ML model development, validation and inference. Building demand forecasting More ❯