Overview

JOB TITLE: Data Scientist (KTP Associate), CSEE

SALARY: £38,500 – £43,500 per annum

KTP
Knowledge Transfer Partnerships (KTPs) are a unique UK-wide activity that help businesses to improve their competitiveness and productivity by making better use of the knowledge, technology and skills within universities, colleges and research organisations.  Further information is available at: www.ktponline.org.uk

THE PROJECT
The University of Essex in partnership with Neotas Limited offers an exciting opportunity to a graduate with the relevant skills and knowledge to utilise a novel combination of natural language processing (NLP) and image analysis to accelerate and automate the collection of Open Source Intelligence (OSINT), i.e., social media postings like Twitter and any other textual/visual user postings on the web, providing end users with advanced insight into individuals, without invading individual privacy.

This post is fixed term for 36 months and is predominantly based at Neotas Limited offices in London. Regular visits to the University of Essex for academic exchange and advice are conducted on a weekly basis.

DUTIES OF THE POST

The duties of the post will include:

* Develop a novel approach for Open Source Intelligence (OSINT), i.e., social media postings like Twitter and any other textual/visual user postings on the web.
* Apply and improve existing methods for text analysis, applied computer vision, and their combination for multi-modal analysis.
* Expand the knowledge and technical competence of the [company] by applying a range of the text and vision analysis methods and techniques in operational environment.
* Research and identify the latest trends in text and vision analysis, building these into the KTP plan to achieve key project deliverables.
* Develop a progressive strategy to enhance the level of meaningful data of Neotas Limited’s platform.
* Develop new or expand existing algorithms, and develop competency in evaluating which will be most commercially beneficial for Neotas Limited within specific contexts.
* Develop commercially relevant solutions to complex data-oriented challenges, and communicate them and the concepts on which they are based in meaningful ways to both company staff and others, where appropriate.
* Liaise with commercial partners, suppliers, customers and academic staff.

KEY REQUIREMENTS

The post holder must have:

* MSc in Computer Science, Data Analytics or Data Science
* In-depth knowledge in Text Analytics and applied knowledge in Visual Content Analytics
* Good theoretical and applied knowledge in a range of statistical and computational techniques, particularly Natural Language Processing, classification methods and/or machine learning for visual content
* Very good knowledge and experience of high level programming languages such as Python
* Knowledge and experience of working with machine learning libraries including Deep Learning
* Knowledge and experience of working with relational databases

BENEFITS

As a KTP Associate, the post will offer the following benefits:

* Management training and mentoring by an Innovate UK KTP Adviser.
* An interesting and challenging role, with exposure to a variety of stakeholders, particularly for accelerating knowledge exchange and transfer from the university to the company.
* Full access to university resources to complete the project and encouragement for scientific publication of the project results.
* World-leading Academic and Company project supervision, with project support by a dedicated, sector leading KTP Office.

LOCATION

Neotas Limited
23 Austin Friars
London
EC2N 2QP

At the University of Essex internationalism is central to who we are and what we do. We are committed to being a cosmopolitan, internationally-oriented university that is welcoming to staff and students from all countries and a university where you can find the world in one place.

Please apply by following the link to the University of Essex website.

https://bit.ly/2K9KZdp

Tagged as: , ,

You can apply to this job and others using your online resume. Click the link below to submit your online resume and email your application to this employer.