Description
Security Cleared Data Scientist
Duration: 3 months initially
pay rate: £450/day (INSIDE IR35)
Location: London/Remote
Description:
Core Purpose 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.
Summary of the Role and key responsibilities Data plays a significant role in the overall Product Strategy and Vision for the UC LMA programme, which is formed of the following product strands:
* Switch on conditionality - Provide product support to enable operations to safely switch back on conditionality from July 1st .
* Segmentation - For who, and at what pace, protecting payment timelines. Help work coaches understand their caseload characteristics and needs to support labour market activation.
* Case-loading - How can we effectively support our work coaches' to manage, understand, and prioritise their caseload.
* Outcomes and use of data - 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.
* Finding, referring, recording and tracking 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').
* Simplified view for work coaches to find information available across government that will help their claimants get new skills, training, in order to access the labour market.
Technical Skills required
Please list in priority of order the 3 or 4 most important key criteria, this will be used by PSR for sifting
This should also include the Levels of skills you require This appointment is expected to form an initial part of a longer term programme of work, therefore significant progress is expected to made against the following deliverables (on some cases dependent upon prioritisation of development effort):
1. Co-design a to-do to capture relevant and high quality data to develop a metric for measuring closeness to the labour market
2. Design options for a metric of labour market outcomes, and work with D&A colleagues to define the business case and source the data needed to create these metrics
3. Design data collection to establish an MVP measure of closeness to the labour market, how labour market outcomes depend on it, and the interaction with the intended labour market journeys (initially two distinct journeys)
4. Identify and source other relevant data assets to augment a labour market clustering
5. Deliver MVP recommendations on how to segment our caseload into journeys and carry out a first iteration labour-market clustering
In addition to the recommendations listed above, the successful candidate in role is expected to have identified and established close working relationships with other data-led Labour Market projects within Working Age, within the Department, and across wider government.
Knowledge and Experience required:
eg Previous experience of working for a government dept.. 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.
If you are interested in this opportunity, please apply now with your updated CV in word/PDF format.
Notwithstanding any guidelines given to level of experience sought, we will consider candidates from outside this range if they can demonstrate the necessary competencies.
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