Natural Language Processing (NLP) Data Scientist (KTP Associate)

FTE: 1.0fte (working 37.5 hours per week, Monday – Friday 09:00 – 17:30)

Duration of Contract: Fixed term for 24 months

Salary: Between £38,600 and £42,041, depending on skills and experience

Annual Leave: 23 days per annum plus UK bank holidays

Location: Remote with monthly in-person project meetings at the DemandScience office at Stock Exchange Tower, 125 Old Broad St, London EC2N 1AR 

Due to the structure of KTP funding, appointees will be able to commence employment only after confirmation of their having UK right to work that covers the entirety of the project. 

About the programme: This position forms part of the Knowledge Transfer Partnership programme (KTP) funded by Innovate UK (IUK). A KTP is a 3-way collaboration between a graduate (or post-graduate), a business (or not for profit organisation) and a university or research institution. KTPs are designed to deliver an innovation project and bring about lasting, transformative change. 

The University of Hertfordshire wish to recruit a motivated, highly skilled, and qualified graduate to lead and deliver a project with DemandScience UK Limited in securely integrating Large Language Models (LLMs) in the area of B2B Software as a Service (SaaS) marketing software, using data-secure and compliant techniques.

Please visit: https://demandscience.com/ for more information

Main duties and responsibilities

The Associate will support the research team by undertaking research and development to develop a new product or service, attending and leading project meetings as required. You will handle data collection and analysis and contribute on the design and organisation of the project as well as work with academic team members on peer reviewed papers and presentations. You will be expected to disseminate the results and outputs of the project and ensure the collating and writing of final project are of a high standard. You will take an active part in the academic life of the School through participation in seminars and other similar events. 

Skill and experience required

You will be methodical, have good attention to detail, able to work to deadlines as a team and independently, as well as be able to handle sensitive data with strict confidence. The successful candidate must have experience or knowledge of ML techniques and handling large and complex datasets and proficiency in contemporary deep learning packages (e.g. Pytorch or Tensorflow). Skills in programming languages, such as Python and/or C++, is essential. The candidate should demonstrate strong theoretical and practical knowledge in their research areas. Previous work experience with LLMs would be desirable.

Qualifications required

Educated with both a bachelor’s degree and a postgraduate degree in Computer Science or a related subject such as Data Science, Statistical Machine Learning, Natural Language Processing, Mathematics or Information Security.

Please view the job description and person specification for a full list of the duties and essential criteria. Please attach a personal statement showing clearly how your skills and experience match the Person Specification.

An appointment to this role may require an Academic Technology Approval Scheme (ATAS) certificate.

Contact Details/Informal Enquiries: Kieran Hogan, Accounts and Operations Officer, k.hogan3@herts.ac.uk

Closing Date: 02 September 2024

Interview Date: To be confirmed

Apply online via the above ‘Apply’ button.

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