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Data Scientist

  • Job reference: JO0000072276
  • Type: Associate
  • Remuneration: £275.00 per per day
  • Location: London
  • Sector: Scientific
  • Start date: 02/01/2018
  • End date: 3 months
  • Application deadline: 20 November 2017
  • Security Clearance: None / BPSS

Overview

Evodia is seeking an external associate to perform the role of Data Scientist to support multiple projects. 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). This is an initial 3-month task based in Central London. Our client has assessed this task as Inside IR35.


Task Summary

Our client is growing their 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).

Tasks

  • 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 you work effectively as part of the RAA department with involvement in performance management
  • Provided key technical skills required by the team with the ability to upskill project resources to meet specific /new skill demands

Experience:

Essential

  • 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)
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