Department for Education

National Pupil Database - Standard Extract Lead

Incomplete applications

2
Incomplete applications
2 SME, 0 large

Completed applications

5
Completed applications
5 SME, 0 large
Important dates
Opportunity attribute name Opportunity attribute value
Published Friday 17 May 2019
Deadline for asking questions Friday 24 May 2019 at 11:59pm GMT
Closing date for applications Friday 31 May 2019 at 11:59pm GMT

Overview

Overview
Opportunity attribute name Opportunity attribute value
Specialist role Data scientist
Summary of the work The successful applicant will collaborate with an existing team to develop, iterate and maintain Standard Extracts (SE) of NPD data.

You will also develop processes to ensure smooth handover to the BAU team - based upon clear acceptance criteria - so the current team can create and maintain SE.
Latest start date Monday 1 July 2019
Expected contract length 3 months (with the budget to extend if required)
Location Yorkshire and the Humber
Organisation the work is for Department for Education
Maximum day rate £550

About the work

About the work
Opportunity attribute name Opportunity attribute value
Early market engagement
Who the specialist will work with Data Modernidation Lead
Business Analyst
NPD Production Team
NPD Processing Team
Delivery Manager
What the specialist will work on The work around Standard Extracts (SE) of National Pupil Database data is complex and challenging. At this stage of the project we are looking to continually increase confidence levels around SE before we make them available for researchers to request.

The research and testing to date has given us a high level of confidence that SE can be successful. Testing amongst users strongly suggests the concept of SE and our proposed approach (and content) are sound.

The sucessful applicant will collaborate with an existing team to develop, iterate and maintain Standard Extracts (SE) of NPD data.

Work setup

Work setup
Opportunity attribute name Opportunity attribute value
Address where the work will take place Sheffield - St Pauls Place
Working arrangements Working with an agile team in St Pauls Place. We would expect the successful applicant to spend the majority of time working in St Pauls Place. Travel to other sites, such as Darlington, will be requirde on occasion.
Security clearance

Additional information

Additional information
Opportunity attribute name Opportunity attribute value
Additional terms and conditions

Skills and experience

Buyers will use the essential and nice-to-have skills and experience to help them evaluate suppliers’ technical competence.

Skills and experience
Opportunity attribute name Opportunity attribute value
Essential skills and experience
  • A good understanding of the National Pupil Database - it's structure, it's content and it's complexity.
  • Experience of agile ways of working
  • Ability to explain complex data issues to wide range of stakeholders - including those not experienced in data.
Nice-to-have skills and experience Experience in academic research

How suppliers will be evaluated

How suppliers will be evaluated
Opportunity attribute name Opportunity attribute value
How many specialists to evaluate 3
Cultural fit criteria Agile and flexible to changing/uncertain requirements
Assessment methods
  • Work history
  • Interview
Evaluation weighting

Technical competence

60%

Cultural fit

20%

Price

20%

Questions asked by suppliers

Questions asked by suppliers
Supplier question Buyer answer
1. Is there an incumbant supplier. Yes.
2. Is there a current incumbent? Yes
3. Is the predominant focus of the role focused on the maintenance, governance and storage of the data?

Or is it focused on data manipulation and analysis in order to derive insights?
The focus is to create, test and produce a suite of pre-canned data 'standard extracts' that will enable users to conduct meaningful research and analysis.

We currently create bespoke data extracts to meet users requests for NPD data. This is both an expensive and time consuming process. Standard extracts should enable us to provide users with quicker access to NPD data.