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Data Scientist to Build Predictive Algorithm for London Childcare Site Locations

Industry Education

Specialization Or Business Function Supply Chain and Logistics, Strategic Business Planning

Technical Function Data Engineering, Business Intelligence, Data Visualization, Analytics, Software and Web Development

Technology & Tools Business Intelligence and Visualization, Big Data and Cloud, Data Analysis and AI Tools

CLOSED FOR BIDDING

Project Description

We are on a mission to disrupt the childcare industry. Applying the agility and ambitiousness of a start up to one of the few industrial sectors yet to be touched by the online revolution.

We need to identify the most investable areas in London to open new nursery (pre-school) sites (80 kids per site).  

A key part of the strategy is the development of a sophisticated tool that will enable us to quickly identify the best areas to invest across London (and later the key cities across the UK). 

The key pieces of data that we have for every pre-school in london (c1,750) are:  

- Post code

- Occupancy rates 

- Weekly fees 

- Number of students 

In addition we can pull data by borough or ward including 

- House price 

- Average earnings 

- Child births 

- Deprivation scores 

Looking for a capable data scientist to build us and easy to use tool, quickly and cost-effectively. 

We are also using geomaps; email me for access to the following link: 

https://www.google.com/maps/d/u/3/edit?mid=1IsisxcOznJF681lBJiPNmSc8zDI&authuser=3

Open to ideas for the best way to deliver. 

Project Overview

  • Posted
    September 21, 2016
  • Planned Start
    September 22, 2016
  • Delivery Date
    October 14, 2016
  • Preferred Location
    From anywhere

Client Overview


EXPERTISE REQUIRED

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