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Director Geospatial Insight, Intelligence & Data Science

Michael Page Technology
Job LocationExeter
EducationNot Mentioned
Salary£700.00 - £1,000.00 per day
IndustryNot Mentioned
Functional AreaNot Mentioned
Job TypeContract, full-time

Job Description

Government organisation is looking for a partner to collaboratively support their Data Science, Data Management and Analysis, and Performance Analysis practices to deliver a new generation of end-to-end land, property and data services. Part of an ongoing Digital, Data and Technology (DDaT) transformation programme, the objective is to improve usability and collect data to make it simpler, cheaper & faster to view, create or change property informationClient DetailsGovernment OrganisationDescriptionThis Government organisation is looking for a partner to collaboratively support their Data Science, Data Management and Analysis, and Performance Analysis practices to deliver a new generation of end-to-end land, property and data services. Part of an ongoing Digital, Data and Technology (DDaT) transformation programme, the objective is to improve usability and collect validated data in order to make it simpler, cheaper and faster to view, create or change property information. You will collaborate with the existing DDaT Practice in developing practical applications, across the full spectrum of work within their Data Science, Data Management and Analysis and Performance Analysis teams, to consolidate in-house skills, develop knowledge and build live services for internal and external users. This covers a range of activities - from designing and implementing real time data visualization, geospatial mapping, timeseries analysis, development of Machine Learning models and production deployment of Deep Learning based servicesEssential skills and experience

  • Experience of developing and establishing enterprise analytics and data innovation strategies, along with associated implementation plans
  • Delivery of geospatial analysis, visualisation and services to support digital transformation programmes (using tools like ArcGIS Enterprise / Pro / FME / QGIS)
  • Experience building services to Government ethics guidance, data security best practice and using privacy preserving methodologies in analytics
  • Experience deploying and operating enterprise-level, analytics platforms on premises and in-cloud
  • Practical analytics/data engineering with (or Accredited training in): ArcGIS/QGIS, Python (scientific/geospatial/ML stacks) and/or Scala, Distributed compute (Dask/Spark), Deep Learning frameworks (Tensorflow, PyTorch etc.), Graph databases, Linked open data (RDF, SPARQL).
  • Experience providing subject matter expertise across a wide range of internally and externally facing projects to conceptualize, design and deliver data analytics and insight projects
  • Demonstrable experience supporting agile delivery teams application of data science, statistical analysis and geospatial mapping whilst seamlessly integrating into client teams
  • Experience of eliciting analytical requirements from a range of stakeholders, understand user needs and communicating technical/data principles, tools, techniques and requirements
  • Practical experience identifying business problems and datasets suitable for data science and the development of new products/services, as well as prioritising, planning and executing Research & Development activities
  • Experience designing and deliver engaging data stories using effective data visualisation supporting analysis communication. Demonstrate a range of techniques, including dashboarding, in open source and enterprise reporting tools (e.g. PowerBI)
  • Have experience of delivering performance analysis for digital services including use of A/B testing, Google Analytics and querying relational databases to gather data for analysis
  • Evidence of ability to discover and assess data for development of new products/services, including objective determination of data quality/fit for purpose, understanding caveats and limitations, relationships and linkages;
  • Demonstrable practical experience in delivering high value end-to-end data science projects in production environments, using modern architectures, cloud compute platforms and both open source and enterprise tools;
  • Significant practical experience in leading edge data science and machine learning techniques applied at scale, particularly in the fields of NLP, geospatial, computer vision and knowledge graphs/mining;
  • Practical experience of operating and maintaining end-to-end platforms for robust, low latency production data science, with associated monitoring, assurance and governance.
  • Experience of evaluating the impact of service delivery, including approaches set out in the Magenta Book
  • Experience of writing and presenting engaging, clear and effective technical documentation, reports, papers, scientific manuscripts and presentations (and coaching others to do the same);
    • Profile
  • Experience of developing and establishing enterprise analytics and data innovation strategies, along with associated implementation plans
  • Delivery of geospatial analysis, visualisation and services to support digital transformation programmes (using tools like ArcGIS Enterprise / Pro / FME / QGIS)
  • Experience deploying and operating enterprise-level, analytics platforms on premises and in-cloud
  • Practical analytics/data engineering with (or Accredited training in): ArcGIS/QGIS, Python (scientific/geospatial/ML stacks) and/or Scala, Distributed compute (Dask/Spark), Deep Learning frameworks (Tensorflow, PyTorch etc.), Graph databases, Linked open data (RDF, SPARQL)
    • Job OfferOpportunity to support major DDaT TransformationOpportunity to support delivery of a Data Science / Machine Learning Capability Required skills
  • machine learning
  • data science
  • geospatial
  • DDAT

    • Keyskills :
    machine learning data science geospatial DDAT

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