Senior Geospatial Data Scientist

at  LV General Insurance

London, England, United Kingdom -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate20 Dec, 2024Not Specified23 Sep, 2024N/AAzure,Imagery Analysis,Data Analysis,Tableau,Python,Data Manipulation,Information Systems,Qgis,Gdal,Gis,Arcgis,Computer Science,Apache Spark,Visualisation,Google Cloud,Aws,Java,Data Processing,R,Languages,Remote Sensing,Communication SkillsNoNo
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Description:

YOUR FOCUS:

  • Lead the design, development, and implementation of geospatial machine learning models to extract insight from large geospatial datasets.
  • Collaborate with cross functional teams to understand business requirements and translate them into technical solutions.
  • Conduct exploratory analysis and feature engineering to extract relevant information from geospatial datasets.
  • Develop predictive machine learning models, evaluate model performance, iterate model improvements to enhance accuracy.
  • Assist in the design and implementation of scalable data processing pipelines for geospatial data ingestion, processing & storage.
  • Stay up to date with the latest advancements in geospatial analytics, machine learning & data science techniques, and incorporate them into existing workflows.
  • Mentor, develop, and provide guidance to less experienced team members, developing a collaborative environment.
  • Communicate findings and insight effectively to stakeholders through clear visualisations, reports, and presentations.

ESSENTIAL SKILLS

  • Experience working in the financial services industry.
  • Proven experience in geospatial data analysis & spatial modelling, including geospatial data manipulation, spatial statistics and visualisation.
  • Knowledge of satellite imagery analysis, LIDAR data processing and other remote sensing techniques.
  • Proficiency in machine learning modelling techniques.
  • Advanced programming skills in languages such as Python, R, or Java, with significant experience in geospatial libraries such as GDAL, GeoPandas, or ArcPy.
  • Proficiency in cloud computing platforms such as Azure, AWS, Google Cloud, and distributed computing frameworks such as Apache Spark, for processing large geospatial datasets.
  • Advanced knowledge of geospatial databases and data visualisations such as tableau, QGIS & ArcGIS.
  • Experience deploying geospatial analytics solutions in production environments and integrating them into existing systems & workflows.
  • Strong problem-solving skills and the ability to work independently & collaboratively.
  • Excellent communication skills with the ability to explain complex technical problems to non-technical stakeholders.

DESIRABLE SKILLS

  • Master’s or PhD in Geospatial sciences, Geographical information systems (GIS), Remote Sensing, Computer Science or related field.

Responsibilities:

LV=GI have a new opportunity for a Senior Geospatial Data Scientist to join our fast Growing and hugely successful Data Science team, made up of over 50 talented and diverse Data Engineers, Scientists, Analysts and Hunters covering our offices in London, Bournemouth or Bristol (The Bristol office is part of our partnership with the University of Bristol)
To find out more about our Data Science team and the Partnership with Bristol University please see the links below:
Data Science jobs - LV= GI careers
As a team we receive tens of millions of requests daily, which means we constantly have to be on top of our game. As such, we are constantly striving to work with the best talent and technologies in order to stay at the forefront to beat the best.
As a Senior 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.


REQUIREMENT SUMMARY

Min:N/AMax:5.0 year(s)

Information Technology/IT

IT Software - Other

Software Engineering

Phd

Proficient

1

London, United Kingdom