Data Scientist

(Data Scientist, Data Science, Data Analyst, Data Analysis, ETL, Sparse data, Spatial data processing, QGIS, Spatial data storage, PostGIS, Jupyter notebooks, Python, Azure Data Factory, Cosmos DB, PostgreSQL, Statistics, Data Analytics, C# .NET, Data Scientist, Data Science, Data Analyst, Data Analysis), Our client is a prestigious technology company who focus in the Insurance market. They have been a market leader for many years and their worldwide client base has never been stronger, with significant growth in the last 12 months. They are looking for a Data Scientist with a strong GIS focus to be responsible for analysing large datasets to extract actionable insights, build predictive models and develop data-driven solutions to complex problems. You will play a major part in data visualization, statistical analysis and collaboration with cross-functional teams to implement data-driven decision making.

We are seeking a GIS focused Data Scientist with experience of tabular data statistics using Python and Jupyter notebooks and strong QGIS and PostGIS for spatial data processing and spatial data storage respectively. You will need an understanding of data licensing and its implications, full ETL pipeline experience and full data lifecycle management knowledge.

Essential skills include ETL, Jupyter notebooks, Python, QGIS, PostGIS, strong Data Visualization and presentation, expertise in Data Science and Data Analysis and proficiency in Statistics and Data Analytics. Knowledge of Azure Data Factory, Cosmos DB, PostgreSQL and C#.NET is highly desirable, as is any experience in the Insurance industry. Excellent problem-solving and analytical skills and strong written and verbal communication skills are expected.