Data Solutions Architect (KTP Associate, Domestic Abuse Victim Support)

City St George’s, University of London (CSGUoL) is the University of business, practice and the professions and brings together the expertise and excellence of City, University of London and St George’s, University of London into one institution.

The combined university is one of the largest suppliers of the health workforce in the capital, as well as one of the largest higher education destinations for London students.

Combining a breadth of disciplines across health, business, law, creativity, communications, science and technology, we are creating a ‘health powerhouse’ for students, researchers, the NHS and partners in uniting a world-leading specialist health university. We are now one of the UK’s largest health educators, where staff and students have access to an expanded team of brilliant academic and professional services colleagues, combined resources and facilities and more interdisciplinary opportunities.

Background

CSGUoL and the National Centre for Domestic Violence (NCDV) are recruiting for a candidate to develop data science capabilities that enhance automation, scalability, and efficiency at NCDV, enabling improved support, faster response times, and better outcomes for victims of domestic abuse.

NCDV is a not-for-profit organisation helping victims/survivors of domestic abuse to obtain protection through the court system. The KTP will support NCDV to increase the capacity at NCDV to generate more court document bundles and therefore help more victims of domestic abuse attain non molestation orders against perpetrators of abuse.

Responsibilities

The candidate will apply their knowledge of Large Language Models (LLMs) and Retrieval Augmented Generation (RAG) to NCDV’s data science architecture to identify and build efficiencies and added value.

Specifically, the candidate will structure and query 'siloed' datasets using natural language inputs, integrating digital tools to automate processes within the collection and collation of data and information from multiple sources, and embed transcription of audio data using automated speech recognition (ASR) tools such as Whisper or Amazon Transcribe, followed by manual QA for accuracy.

Person Specification

We are looking for a candidate with an MSc (distinction/merit) or other higher degree in Data Science or AI. Knowledge of applying Python, PyTorch/TensorFlow and SQL in a commercial environment is essential, as is experience working with Large Language Models (LLMs) and Natural Language Processing (NLP).

The ideal candidate will have experience of Retrieval Augmented Generation (RAG) and experience of working in commercial environments applying Data Science tools and methodologies, as well as knowledge of Azure/AWS.

Additional Information

Closing date for application: 23 November 2025 at 11:59pm.

City St George’s offers a sector-leading salary, pension scheme and benefits including a comprehensive package of staff training and development.

City St George’s, University of London is committed to promoting equality, diversity and inclusion in all its activities, processes, and culture for our whole community, including staff, students and visitors.

We welcome applications regardless of age, caring responsibilities, disability, gender identity, gender reassignment, marital status, nationality, pregnancy, race and ethnic origin, religion and belief, sex, sexual orientation and socio-economic background.

City St George’s operates a guaranteed interview scheme for disabled applicants.

The role is based at NCDV’s offices in Guildford, Surrey.

Regardless of where colleagues are working, City St George’s, University of London’s premises will be their primary and contractual place of work.

The University of business, practice and the professions.

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