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Data Scientist (R, Python, SQL)

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Data Scientist, Data Science, R, Python, SQL, VBA, Graphing, Neo4J, Visualisation, Spotfire, Tableau, Stepwise, forward stagewise, LASSO, random forest, support vector machine, bagging, London, Public Sector

Data Scientist (R, Python, SQL) - London

Our Public Sector Client is growing its Advanced analytics and data science capability to take on multiple projects across the organisation. Such projects could target improved operational efficiency and process automation, enhanced understanding of firms and markets, and/or better risk identification (through exploitation of varied data sets and analytics techniques).

The client are seeking data science capability to bring capacity, skills and knowledge to deliver the following outcomes:

  • Complete 3-4 different Analytics projects during the timeframe (including multiple projects at once)
  • Build credibility and demonstrate the value of analytics to a range of stakeholders through outputs and communication skills
  • Integrate resources so they work effectively as part of internal departments’ involvement in performance management
  • Provided key technical skills required by the internal team with the ability to upskill project resources to meet specific /new skill demands"

Key Skills/ Experience

  • Have experience and/or Accredited training in R or Python
  • Have experience and/or Accredited training in SQL
  • Have experience and/or Accredited training in VBA
  • Have experience and/or Accredited training in Graphing e.g. Neo 4J
  • Have experience and/or Accredited training in Presentation skills
  • Have experience and/or Accredited training in Visualisation, Spotfire or Tableau
  • Have experience and/or Accredited training in Communication skills
  • Have experience of fully integrating into an existing client team
  • Experience and/or Accredited training in supervised Data science methods (e.g. stepwise, forward stagewise, LASSO, random forest, support vector machine, bagging etc.) and unsupervised methods
  • Experience and/or Accredited training in unsupervised Data science methods (e.g. clustering techniques, k-nearest-neighbour methods)
  • The indivdual should assist with ongoing training and development for all project resources which is re-active to specific project needs through knowledge sharing and their own experience

Job reference:
PSC-J376840A
London
Competitive
Full-time
Temporary or Contract
Immediate start
3 Months
 
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