---
title: "Invitation for data scientists to support development of network and security product"
ocid: "ocds-h6vhtk-03459f"
canonical_url: "https://d3tenders.com/contract/?ocid=ocds-h6vhtk-03459f"
markdown_url: "https://d3tenders.com/contract/ocds-h6vhtk-03459f.md"
json_url: "https://d3tenders.com/contract/ocds-h6vhtk-03459f.json"
source: "Find A Tender Service"
current_stage: "Tender"
buyer: "XALIENT HOLDINGS LIMITED"
published: "2022-06-13"
---

# Invitation for data scientists to support development of network and security product

Buyer: XALIENT HOLDINGS LIMITED  
Current stage: Tender  
OCID: ocds-h6vhtk-03459f

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## Summary

Xalient Holdings Limited is currently engaged in an open procurement process for a project titled "Invitation for data scientists to support development of network and security product." This procurement falls under the IT services category, specifically focusing on consulting, software development, and internet support. The project is taking place in the United Kingdom, and the tender period is set to close on 27 June 2022 at 17:00. Following the tender, the award period will commence on 28 June 2022, which includes the bid opening for submissions. The buyer is seeking expertise in data science to aid in the productisation of their artificial intelligence-based innovation, Martina, which aims to address network faults and cybersecurity issues before they arise.

This tender presents an excellent opportunity for data science, IT consulting, and software development firms looking to expand their portfolio in the cybersecurity sector. Companies with expertise in machine learning, data analysis, and cloud-based solutions will be particularly well-suited to compete. The project requires specialised skills including Python programming, database management, and REST API integration, making it ideal for small to medium enterprises (SMEs) that can offer innovative solutions to meet the project's specifications. Successful applicants will play a crucial role in developing technologies that enhance network security measures, thus positioning their businesses as key players in a crucial and growing industry.

## Notice

The core idea behind the innovation project is to develop our current innovation Martina (in Proof Of Concept (POC) currently), that uses artificial intelligence to predict, and in many cases remediate, network faults and security breaches before they occur to a standalone product. To achieve this, data scientists will be required to develop the models that create the relationships between network faults and cyber breaches.

### Lot Information

Lot 1

Further details of the requirements and scope will be provided on completion of a Non-Disclosure Agreement (NDA) agreed and signed by both Xalient and the applicant. We require specialist data scientist expertise to support and drive our productisation of Martina. We have identified the gap in skills to deliver bulk data transformation, building machine learning models at scale incorporating supervised learning and unsupervised learning, data trend analysis and data pattern correlation. These are specialist data science and big data skills that Xalient does not possess. The specific knowledge and expertise of the data scientists will be used to design and build the data collection, data processing and machine learning functions of Martina, ready for full productisation in the selected cloud environment. Our product works based on a data collector to collect telemetry information and an "AIOps Module" to process and provide the machine learning functionality. We have broken down the specification of the project into stages below. These stages form part of a larger productisation program to bring Martina to market - however the below stages represent the scope of tasks that are pertinent to this application. * Data Collection - Inbound Integration Module - design and build * Data Collection - ETL (Extract, Transform and Load) Process - Design and Build * Data Collection - Outbound integration module * Machine Learning - Pre-Processing Module * Machine Learning - Machine Learning Module * Machine Learning - Data Correlation Module As a result of our POC work, we feel that the skills required to fulfil the stages in this specification would mainly include: * Python programming * REST APIs * JSON * Relational Database Management System (RDBMS) - MySQL preferred * HTML, CSS, JavaScript * React and Bootstrap * Node.js * Flask (Python) Our research and findings have led us to speculate the above skills are relevant, however applicants are permitted to submit alternative tooling or languages provided they are backed by demonstrable domain experience and relevance. Our goal is to take Martina to market in a "production ready" state. Applicants should detail how they will address the following aspects in their submissions: * Scale - how will the solution scale effectively? * Resiliency - how will the solution maintain service continuity in the event of any single discernible failure within the pertinent infrastructure and/or processes? * Supportability - post launch and "go live" of the solution, what documentation and/or support mechanisms will be provided and in what format to ensure a successful transition into BAU?

## Key Details

| Field | Value |
| --- | --- |
| Publication source | Find A Tender Service |
| Latest notice | https://www.find-tender.service.gov.uk/Notice/016177-2022 |
| Notice type | Tender Notice |
| Procurement type | Standard |
| Procurement category | Services |
| Procurement method | Open |
| Procurement method details | Open procedure |
| Tender suitability | Not specified |
| Awardee scale | Not specified |
| All stages | Tender |

## Dates

| Field | Value |
| --- | --- |
| Publication date | 13 Jun 2022 |
| Submission deadline | 27 Jun 2022 |
| Future notice date | Not specified |
| Award date | Not specified |
| Contract period | Not specified |
| Recurrence | Not specified |

## Values

| Field | Value |
| --- | --- |
| Tender value | £98,000 |
| Lots value | Not specified |
| Awards value | Not specified |
| Contracts value | Not specified |

## Status

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

## Buyer

| Field | Value |
| --- | --- |
| Main buyer | XALIENT HOLDINGS LIMITED |
| Locality | ALTRINCHAM |
| Post town | Warrington |
| Postcode | WA14 2DT |
| Country | England |
| ITL 1 | TLD North West (England) |
| ITL 2 | TLD3 Greater Manchester |
| ITL 3 | TLD34 Greater Manchester South West |
| Local authority | Trafford |
| Electoral ward | Altrincham |
| Westminster constituency | Altrincham and Sale West |
| Delivery location | TLE Yorkshire and The Humber |

## CPV Codes

### Divisions

- 72 - IT services: consulting, software development, Internet and support

### Codes

- 72000000 - IT services: consulting, software development, Internet and support

## Release History

- 13 Jun 2022 at 15:07 - TenderUpdate - Tender Notice - https://www.find-tender.service.gov.uk/Notice/016177-2022
- 13 Jun 2022 at 10:58 - Tender - Tender Notice - https://www.find-tender.service.gov.uk/Notice/016122-2022

## Notice URLs

- http://www.xalient.com
- https://www.gov.uk/contracts-finder
- https://www.xalient.com

## Provenance

This Markdown file is an alternate public rendering of the D3 Tenders contract record. The canonical page is https://d3tenders.com/contract/?ocid=ocds-h6vhtk-03459f. The underlying structured data is available as OCDS JSON at https://d3tenders.com/contract/ocds-h6vhtk-03459f.json.
