National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Scientist (KTP Associate), CSEE

University of Essex
Colchester
1 year ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist - AI / ML, Python, Scripting, Cyber Security

Data Scientist - Inside IR35 contract

Data Scientist

Data Scientist - Commodities

Data Scientist

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:

THE PROJECT

The University of Essex in partnership with Trunk Logistics offers an exciting opportunity to a graduate with the relevant skills and knowledge to develop the next generation of an existing software package into a highly innovative, AI-enabled platform suitable for a first widescale commercialisation.

This post is fixed term for 27 months and is based at Trunk Logistics offices in Grays.

DUTIES OF THE POST

The duties of the post will include:

Review the current workflow in the company and specification of the functional requirements of the new system. Embedding technology and upskilling company staff. Supporting company scale up and exploitation of new technology. Participate in academic or industrial conferences and other events, to disseminate and present research outcomes to the wider community. Design, develop, and testing an initial prototype of AI engine. Investigation and implementation of prototype into existing system and validation. Prepare reports, evaluate, handover, and sign off the project. Active engagement in personal development.

These duties are a guide to the work that the post holder will initially be required to undertake. They may be changed from time to time to meet changing circumstances.

KEY REQUIREMENTS

MSc in Computer Science, Artificial Intelligence, Data Science, or similar or equivalent experience. Knowledge/experience of computational/artificial intelligence. Understanding of UI centred product design, as well as data extraction and interrogation. Knowledge/interest in data science, machine learning algorithms and methods and cyber security techniques. Knowledge/interest in optimisation, modelling, and algorithm development. Appreciation of the importance of data security and an understanding of data security challenges and possible support mechanisms. Strong mathematical foundation. Knowledge/interest in data visualisation. Experience and knowledge of best practice in data storage, processing and handling. Experience of handling and manipulating large and complex data. Experience and knowledge of higher-level programming languages such as Python, R and Java. Experience of version control using Git. Understanding of front-end technologies, such as JavaScript, HTML5, and CSS3. Strong knowledge of the common PHP or web server exploits and their solutions. Working within a highly traditional sector which is slow to adopt new technologies; working with colleagues who may be resistant to change. Understanding the complex and specialist requirements of removal logistics. An understanding of the need to balance academic and commercial outputs. Ability to communicate complex technical concepts to a range of technical and non-technical stakeholders. Ability to manage expectations in a multi-partner project. Excellent time management skills. Excellent command of written and spoken English. Ability to work independently and as part of a team. Ability to lead a complex project with competing deadlines and priorities. Ability to contribute to the drafting of academic papers.

BENEFITS

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

A personal development budget of £4500 (exclusive of salary). Management training and mentoring by an Innovate UK KTP Adviser. An interesting and challenging role, with exposure to a variety of stakeholders. Full access to university resources to complete the project. World-leading Academic and Company project supervision, with project support by a dedicated, sector leading KTP Office.

LOCATION

Trunk Logistics

Unit 54, Towers Road

Globe Industrial Estate

Grays

Essex

England

RM17 6ST

(Hybrid working offered)

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

LinkedIn Profile Checklist for AI Jobs: 10 Tweaks That Triple Recruiter Views

In today’s fiercely competitive AI job market, simply having a LinkedIn profile isn’t enough. Recruiters and hiring managers routinely scout for top talent in machine learning, data science, natural language processing, computer vision and beyond—sometimes before roles are even posted. With hundreds of applicants vying for each role, you need a profile that’s optimised for search, speaks directly to AI-specific skills, and showcases measurable impact. By following this step-by-step LinkedIn for AI jobs checklist, you’ll make ten strategic tweaks that can triple recruiter views and position you as a leading AI professional. Whether you’re a fresh graduate aiming for your first AI position or a seasoned expert targeting a senior role, these actionable changes will ensure your profile stands out in feeds, search results and recruiter queues. Let’s dive in.

Part-Time Study Routes That Lead to AI Jobs: Evening Courses, Bootcamps & Online Masters

Artificial intelligence (AI) is reshaping industries at an unprecedented pace. From automating mundane tasks in finance to driving innovation in healthcare diagnostics, the demand for AI-skilled professionals is skyrocketing. In the United Kingdom alone, AI is forecast to deliver over £400 billion to the economy by 2030 and generate millions of new jobs across sectors. Yet, for many ambitious professionals, taking time away from work to upskill can feel like an impossible ask. Thankfully, part-time learning options have proliferated: evening courses, intensive bootcamps and flexible online master’s programmes empower you to learn AI while working. This comprehensive guide explores every route—from short tasters to deep-dive MScs—showcasing providers, course formats, funding options and practical tips. Whether you’re a career changer, a busy manager or a self-taught developer keen to go further, you’ll discover a pathway to fit your schedule, budget and goals.