AI Data Scientist (KTP Associate) in Essex

AI Data Scientist (KTP Associate) in Essex

Essex Full-Time 41300 - 41300 € / year (est.) Home office (partial)
University of Essex

At a Glance

  • Tasks: Design and deploy cutting-edge AI systems for data management and communication optimisation.
  • Company: Join RevWise Ltd, a forward-thinking company partnered with the University of Essex.
  • Benefits: Enjoy a competitive salary, personal development budget, and mentoring opportunities.
  • Other info: Hybrid working available with excellent career growth and access to university resources.
  • Why this job: Make a real impact in AI while collaborating with industry leaders and academics.
  • Qualifications: BSc in Computer Science or related fields; experience in ML and AI is a plus.

The predicted salary is between 41300 - 41300 € per year.

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.

The Project

The University of Essex in partnership with RevWise Ltd offers an exciting opportunity to a graduate with the relevant skills and knowledge to design, trial and embed an agentic AI system for data management and communication optimisation.

Duties of the Post

  • Design, develop and deploy agentic AI systems to support data management, decision-making and communication optimisation within RevWise’s affiliate marketing operations.
  • Stay up to date with emerging developments in agentic AI, large language models (LLMs), and autonomous systems, ensuring the project leverages state-of-the-art techniques.
  • Work closely with RevWise stakeholders to ensure solutions are aligned with business needs and deliver measurable value.
  • Support the implementation of a unified data strategy, ensuring consistent and high-quality data ingestion across the organisation.
  • Take responsibility for the end-to-end delivery of the KTP project, ensuring milestones, timelines and objectives are achieved.
  • Work collaboratively with the academic and company supervisors to monitor progress, manage risks and adapt plans where required.

A full list of duties and responsibilities can be found within the job pack.

Key Requirements

Qualifications
  • BSc in Computer Science, Mathematics, Data Science, or related fields.
Experience/Knowledge
  • Experience of designing applied ML and agentic AI for prediction, automation and real-time decision support.
  • Operational knowledge in distributed systems design, backend engineering and scalable event-driven architectures.
  • Practical expertise with cloud platforms, containerisation, scalable DBs and modern languages (i.e. Python, JS, etc.).
  • Experience handling large, complex datasets, including sales and customer data.
  • Strong knowledge of machine learning.
  • Experience designing, testing, and deploying AI and machine learning models in a controlled environment.
Skills/Abilities
  • Ability to quickly adapt to internal systems, data structures, and regulatory requirements.
  • Strong commercial awareness, ensuring AI solutions align with commercial priorities.
  • Excellent stakeholder engagement skills; able to explain technical concepts to non-technical audiences.
  • Strong time management and organisational skills.
  • Self-motivated, capable of working independently and in a team.

Benefits

  • A personal development budget of £5,667 (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

RevWise Ltd, Innovation Centre, Knowledge Gateway, Boundary Road, Colchester, Essex, CO4 3ZQ. Please note that the role holder will be based at RevWise Ltd offices located in Colchester (hybrid working is offered) but may be expected to travel to the University of Essex Colchester Campus from time to time.

£41,300 per annum

AI Data Scientist (KTP Associate) in Essex employer: University of Essex

RevWise Ltd offers an exceptional working environment for the AI Data Scientist (KTP Associate) role, combining innovative projects with a supportive culture that prioritises employee growth and development. With a personal development budget, management training, and access to world-class academic resources, employees are empowered to thrive in their careers while contributing to cutting-edge AI solutions. Located in the vibrant Innovation Centre at the Knowledge Gateway in Colchester, this position provides a unique opportunity to collaborate with diverse stakeholders and make a meaningful impact in the field of data management and communication optimisation.

University of Essex

Contact Detail:

University of Essex Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land AI Data Scientist (KTP Associate) in Essex

Tip Number 1

Network like a pro! Reach out to people in the industry, attend events, and connect with alumni from your university. You never know who might have the inside scoop on job openings or can put in a good word for you.

Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those related to AI and data science. This will give potential employers a taste of what you can do and set you apart from the crowd.

Tip Number 3

Prepare for interviews by practising common questions and scenarios specific to AI and data science roles. We recommend doing mock interviews with friends or mentors to build your confidence and refine your answers.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.

We think you need these skills to ace AI Data Scientist (KTP Associate) in Essex

Agentic AI Design
Machine Learning
Data Management
Decision-Making Support
Cloud Platforms
Containerisation
Distributed Systems Design

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the AI Data Scientist role. Highlight your experience with machine learning, agentic AI, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your background makes you a perfect fit. Don’t forget to mention your understanding of the KTP initiative and how you can contribute to RevWise.

Showcase Your Technical Skills:Be specific about your technical skills in your application. Mention your experience with cloud platforms, distributed systems, and any programming languages you’re proficient in. We love seeing practical examples of your work!

Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!

How to prepare for a job interview at University of Essex

Know Your AI Stuff

Make sure you brush up on the latest trends in agentic AI and large language models. Be ready to discuss how these technologies can be applied to data management and communication optimisation, as this will show your passion and expertise in the field.

Showcase Your Technical Skills

Prepare to talk about your experience with machine learning, distributed systems, and cloud platforms. Have specific examples ready that demonstrate your ability to design and deploy AI systems, as well as handle complex datasets. This will help you stand out as a strong candidate.

Engage with Stakeholders

Since stakeholder engagement is key for this role, think of ways to illustrate your communication skills. Prepare examples where you've successfully explained technical concepts to non-technical audiences, as this will highlight your ability to bridge the gap between tech and business needs.

Time Management is Key

Be ready to discuss how you manage your time and organise projects. Share strategies you've used to meet deadlines and achieve milestones in previous roles. This will reassure the interviewers that you can handle the end-to-end delivery of the KTP project effectively.