Data Scientist (R, SQL) at Department for Work & Pensions, London, 6 Months, £Contract Rate

  • Contract Spy
  • London, UK
  • Sep 14, 2020
6 Months or more

Contract Description

SC Cleared Data Scientist (inside IR35)

Are you an experienced Data Scientist? Do you have experience with R? Are you experienced in SQL? Are you experience with cloud services like AWS? DWP are looking for Data Scientist on an interim basis.

Imagine having a talent that could benefit someone you’ve never met and solve problems you didn’t even know existed. Well, you do, and you can. And we’re here to help you do just that. At PSR we are the go-to place for talented contractors and temps for a rich variety of civil service roles.

The ambition of the UC LMA programme is to leverage the UC product development capacity to drive forward labour market features in UC at pace and in rapid response to a changing context.


As a Dev Ops Engineer you will: 

  • Provide product support to enable operations to safely switch back on conditionality
  • Segmentation - For who, and at what pace, protecting payment timelines. Help work coaches understand their caseload characteristics and needs to support labour market activation.
  • Support our work coaches’ to manage, understand, and prioritise their caseload.
  • Use our evolving segmentation and caseload understanding to drive providing MI. Build data tools to support work-coaches manage workloads and understand successful or unsuccessful interventions for claimants.
  • Find, refer, record and track to provision (Kickstarter Find and refer).
  • Provide discrete labour market tools in response to evolving priorities and providing data on outcomes from provision. For example, matching vacancies to skills and goals (such as ‘find my builders’).
  • Simplify view for work coaches to find information available across government that will help their claimants get new skills, training, to access the labour market.

You’ll have:

  • Experience defining and delivering innovative, data-driven solutions on large or complex data sets including identifying and gathering disparate data, extensive data manipulation, iteration of analytical techniques and visualisation of the results
  • Experience working collaboratively across an organisation on a transformational programme of data-led activity
  • An understanding of UCFS datasets, and experience working in the area of Labour Market is beneficial but not essential.
  • R and SQL experience
  • Active SC Clearance 

'