Closed

Data Science Advice & Analysis

Care Quality Commission · £15,000 – £25,000 · closes 16 Jan 2018

£15,000 – £25,000

Estimated value

Closed

Deadline

30 Dec 2017

Published

This tender has closed.

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About this contract

Our requirement is to gain a thorough understanding of, and practical experience in, applying machine learning methods and so we are seeking an expert with an understanding of our role as a regulator who is able to help us achieve this. We require the ability to have an ongoing dialogue with an advisor with the outcome that a small number of CQC staff have a good understanding of and are able to apply the methods by the end of the contract. The provider should have considerable experience providing machine learning advice and an excellent knowledge of academic research in this area and its practical applications. The provider needs to have an interest in, and knowledge of, the role of CQC. They should ideally understand the regulatory use of statistical methods and the framework in which we operate and should ensure that their advice is appropriate and stands up to public scrutiny should we choose to share it externally. There are two requirements. The first is specifically to advise on and discuss the applicability of a range of machine learning methods that are new to CQC. It is also to provide written materials in the form of a report and face to face training/lecturing suitable for the level of the Statistics team. The machine learning methods must include the following: • Neural networks • Support vector machines • Naïve Bayes • Random forests, boosted trees Additional information: The requirement is set out in the Statement of Requirements of the tender document available at CQC e-Sourcing Portal: https://cqc-commercial.bravosolution.co.uk If your organisation does not already have an account on the portal, please select 'Register Free' and complete the company information to request a user name and password. On receipt of your account details, you may search for this opportunity by project name and select 'Register Interest'. To be considered as a Bidder you must complete and submit a Bid by the deadline of 17:00 16 January 2018 Please allow sufficient time to make your return as late returns will not be permitted by the system.