---
title: "Data Science Advice & Analysis"
ocid: "ocds-b5fd17-2f906ef7-a8ae-4b41-a58a-2747b799c65f"
canonical_url: "https://d3tenders.com/contract/?ocid=ocds-b5fd17-2f906ef7-a8ae-4b41-a58a-2747b799c65f"
markdown_url: "https://d3tenders.com/contract/ocds-b5fd17-2f906ef7-a8ae-4b41-a58a-2747b799c65f.md"
json_url: "https://d3tenders.com/contract/ocds-b5fd17-2f906ef7-a8ae-4b41-a58a-2747b799c65f.json"
source: "Contracts Finder"
current_stage: "Tender"
buyer: "CARE QUALITY COMMISSION"
published: "2017-12-30"
---

# Data Science Advice & Analysis

Buyer: CARE QUALITY COMMISSION  
Current stage: Tender  
OCID: ocds-b5fd17-2f906ef7-a8ae-4b41-a58a-2747b799c65f

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## Summary

The Care Quality Commission (CQC) is seeking proposals for the "Data Science Advice & Analysis" tender, aimed primarily at enhancing machine learning capabilities within their regulatory framework. The procurement is currently in the tender stage, with submissions due by 17:00 on 16 January 2018. The project location is London, United Kingdom, and it falls under the industry category of research and development services. The total contract value is £25,000, with a minimum value set at £15,000, and the contracted services are expected to commence from 2 February 2018 and run until 30 March 2018. The procurement method employed is a limited competitive quotation process, suitable for businesses offering services in consultancy and training in research and machine learning methodologies.

This tender presents an excellent opportunity for businesses specialising in data science, machine learning, or statistical consulting to engage with a leading regulatory body. Companies that have expertise in neural networks, support vector machines, and other advanced machine learning techniques, as well as those capable of delivering educational training, would be particularly well-positioned to compete for this contract. As the CQC works towards enhancing its analytical capabilities, businesses that understand the regulatory landscape and can demonstrate a strong track record in research and development consultancy will find themselves in a favourable position to successfully bid for this opportunity.

## Notice

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 * Naive 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.

## Key Details

| Field | Value |
| --- | --- |
| Publication source | Contracts Finder |
| Latest notice | https://www.contractsfinder.service.gov.uk/Notice/7bb31fd4-9e3b-459e-89ea-c0c279e2e827 |
| Notice type | Tender Notice |
| Procurement type | Standard |
| Procurement category | Services |
| Procurement method | Limited |
| Procurement method details | Competitive quotation (below threshold) |
| Tender suitability | SME, VCSE |
| Awardee scale | Not specified |
| All stages | Tender |

## Dates

| Field | Value |
| --- | --- |
| Publication date | 30 Dec 2017 |
| Submission deadline | 16 Jan 2018 |
| Future notice date | Not specified |
| Award date | Not specified |
| Contract period | 2 Feb 2018 - 30 Mar 2018 |
| Recurrence | Not specified |

## Values

| Field | Value |
| --- | --- |
| Tender value | £25,000 |
| Lots value | Not specified |
| Awards value | Not specified |
| Contracts value | Not specified |

## Status

| Field | Value |
| --- | --- |
| Tender status | Active |
| Lots status | Not specified |
| Awards status | Not specified |
| Contracts status | Not specified |

## Buyer

| Field | Value |
| --- | --- |
| Main buyer | CARE QUALITY COMMISSION |
| Locality | NEWCASTLE UPON TYNE |
| Post town | Newcastle upon Tyne |
| Postcode | NE1 4PA |
| Country | England |
| ITL 1 | TLC North East (England) |
| ITL 2 | TLC4 Northumberland, Durham and Tyne & Wear |
| ITL 3 | TLC43 Tyneside |
| Local authority | Newcastle upon Tyne |
| Electoral ward | Monument |
| Westminster constituency | Newcastle upon Tyne Central and West |
| Delivery location | TLI London |

## CPV Codes

### Divisions

- 73 - Research and development services and related consultancy services

### Codes

- 73100000 - Research and experimental development services
- 73200000 - Research and development consultancy services
- 73300000 - Design and execution of research and development

## Release History

- 30 Dec 2017 at 16:15 - Tender - Tender Notice - https://www.contractsfinder.service.gov.uk/Notice/7bb31fd4-9e3b-459e-89ea-c0c279e2e827

## Documents

- https://www.contractsfinder.service.gov.uk/Notice/7bb31fd4-9e3b-459e-89ea-c0c279e2e827
  30th December 2017 - Opportunity notice on Contracts Finder

## Notice URLs

- https://cqc-commercial.bravosolution.co.uk

## Provenance

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