and analytics to provide insights to the business covering a range of topics. They will be responsible for conducting both recurring and ad hoc analysis for business users. Work Location: London, UK We are seeking a skilled Data Analyst to help drive business insights and strategy through analysis … for collecting structured and unstructured data from a variety of internal systems and external sources Organize, cleanse, and validate raw data to prepare for analysis Perform exploratoryanalysis to uncover patterns, anomalies, and relationships in data using statistical modeling and data visualization tools Develop insightful reports, presentations … and dashboards to concisely summarize analysis and effectively communicate findings Make recommendations for business process optimizations supported by data trends and external benchmarks Identify new opportunities or developments through continual analysis of data from various business areas Requirements: 3+ years professional experience as a Data Analyst, Business Analyst more »
Geospatial Data Scientist, you will lead the development of geospatial solutions to solve complex problems across business functions, leveraging your expertise in geospatial data analysis, machine learning and statistical modelling You will contribute to the development of insurance products & services. Your focus: Lead the design, development, and implementation of … models to extract insight from large geospatial datasets. Collaborate with cross functional teams to understand business requirements and translate them into technical solutions. Conduct exploratoryanalysis and feature engineering to extract relevant information from geospatial datasets. Develop predictive machine learning models, evaluate model performance, iterate model improvements to … sciences, Geographical information systems (GIS), Remote Sensing, Computer Science or related field. Experience working in the financial services industry. Proven experience in geospatial data analysis, including geospatial data manipulation, spatial statistics and visualisation. Strong programming skills in languages such as Python, R, or Java, with experience in geospatial libraries more »
