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Tenfell
Closed tender
Published 30 Dec 2017

Data Science Advice & Analysis

Care Quality Commission · United Kingdom

Key facts

Estimated value
£25,000
Closing date
16 Jan 2018
Contract starts
02 Feb 2018
Contract ends
30 Mar 2018
Procedure
Competitive quotation (below threshold)
Buyer type
Central government

Description

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

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