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Head of Data Science - Public Sector - ArcGIS / QGIS

Employer
Ventula Consulting Limited
Location
Exeter
Salary
£750 - £800 per day
Closing date
24 Nov 2020

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Sector
Technology
Responsibilities
Analyst, Information Management
Position/Level
Professional / Specialist
Contract Type
Contract / Interim
Language
English

Head of Data Science - Public Sector - ArcGIS / QGIS - £800p/d Inside IR35
Head of Data now required to join my public Sector Client on an interim basis to build a new Data Science, Performance analysis and ML function.

The Head of Data Science will be responsible for managing the build of live services for internal and external users and the role will cover a raft of activities including implementing real time data visualization, geospatial mapping, timeseries analysis, development of Machine Learning models and production deployment of Deep Learning based services.

The Head of Data Science will have the following skills and experience:

  • Experience of developing and establishing enterprise analytics and data innovation strategies
  • 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
  • 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
  • Demonstrable experience supporting agile delivery team's application of data science, statistical analysis and geospatial mapping
  • Highly effective stakeholder engagement skills
  • 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
  • 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;

This is an exciting opportunity for a Head of data Science to build and shape an new Data Science and Analytics function from scratch on a long term engagement.

 

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