At a Glance
- Tasks: Lead an innovative AI project in the reinsurance industry, focusing on LLM and data management.
- Company: Join UCL School of Management, renowned for its cutting-edge research and education in business and technology.
- Benefits: Enjoy 41 days holiday, a pension scheme, and professional development opportunities.
- Why this job: Be part of a transformative project that merges academia with industry, enhancing your career prospects.
- Qualifications: Postgraduate/doctoral degree in Computer Science, Machine Learning, or related fields required.
- Other info: Opportunity to publish work and access a network of professionals in various disciplines.
The predicted salary is between 38607 - 44840 £ per year.
The UCL School of Management is home to UCL's business and management research and education programmes. The School has forged a reputation for world-leading research and teaching in the areas of innovation management, the creation and growth of technology-intensive organisations, business analytics, and entrepreneurship.
This role, funded through a Knowledge Transfer Partnership (KTP), offers a springboard to a career in both industry and academia to candidates interested in LLM, data analytics, and programming. The successful candidate will get to apply their experience with LLM projects and ML tools daily to a cutting-edge AI initiative in the reinsurance industry.
This is an exciting opportunity for someone with a postgraduate/doctoral degree in Computer Science, Machine Learning, NLP, Computer Linguistics, or a closely related field. The post holder will lead a cutting-edge innovation project that aims to revolutionise the non-catastrophe insurance market by leveraging LLMs to streamline and enhance the efficiency of data management and analysis. Based at Howden Re, the fastest growing reinsurance broker, the KTP Associate will develop and deliver a state-of-the-art LLM-driven automated workflow for data profiling in the reinsurance industry.
The objectives of the project include:
- Developing and fine-tuning an automated pipeline for extracting semi-structured and unstructured data using LLM-based methods.
- Extending the pipeline to support multilingual and regional applications.
- Creating a user-friendly interface that makes advanced tools accessible to non-expert users.
Plus, the successful candidate will be part of the prestigious 50-year-old national Knowledge Transfer Partnership programme offering a dedicated professional development budget, a network of fellow Associates from many disciplines, and training and mentoring opportunities. The Associate will also have the opportunity to write publications about their work alongside the academic and company teams.
Salary details: The post is offered with a salary on UCL Grade 6B with a salary starting at £38,607 pa (including London Allowance). Appointment at Grade 7 is dependent upon having been awarded a PhD and will be offered with a starting salary of £44,840 pa (including London Allowance). We expect the appointed candidate to start in July 2025.
Please include a supporting statement outlining your qualifications and experience, and explaining how they make you a suitable candidate for the position. Also, a curriculum vitae, including a list of publications (if available) and links to GitHub, GitLab, or other repositories showcasing relevant work (if applicable).
If you need reasonable adjustments or a more accessible online format to apply for this job, please contact mgmt.-hrsom@ucl.ac.uk.
For informal enquiries about the role, please contact Dr Deyu Ming (deyu.ming.16@ucl.ac.uk).
The successful candidate will need to demonstrate strong communication and programming skills, a collaborative and self-motivated attitude, and good project management skills will ensure the KTP Associate fully enjoys the benefits of their unique position at the interface between industry and academia, including their close access to marketing and data analytics experts.
As well as the exciting opportunities this role presents, we also offer some great benefits, some of which are below:
- 41 Days holiday (27 days annual leave, 8 bank holidays, and 6 closure days)
- An additional 5 days' annual leave purchase scheme
- Defined benefit career average revalued earnings pension scheme (CARE)
- Cycle to work scheme and season ticket loan
- Immigration loan
- Relocation scheme for certain posts
- Enhanced maternity, paternity, and adoption pay
- Employee assistance programme: Staff Support Service
- Discounted medical insurance
Our commitment to Equality, Diversity and Inclusion: As London's Global University, we know diversity fosters creativity and innovation, and we want our community to represent the diversity of the world's talent. We are committed to equality of opportunity, to being fair and inclusive, and to being a place where we all belong. We therefore particularly encourage applications from candidates who are likely to be underrepresented in UCL's workforce. These include people from Black, Asian, and ethnic minority backgrounds; disabled people; LGBTQI+ people; and, for our Grade 9 and 10 roles, women.
Knowledge Transfer Partnership (KTP) Associate in Artificial Intelligence employer: UCL
Contact Detail:
UCL Recruiting Team
mgmt.-hrsom@ucl.ac.uk
StudySmarter Expert Advice 🤫
We think this is how you could land Knowledge Transfer Partnership (KTP) Associate in Artificial Intelligence
✨Tip Number 1
Familiarise yourself with the latest advancements in LLM and machine learning tools. Being well-versed in current trends will not only boost your confidence during discussions but also demonstrate your genuine interest in the field.
✨Tip Number 2
Network with professionals in the reinsurance industry and academia. Attend relevant conferences or webinars to connect with potential colleagues and mentors who can provide insights into the role and the company culture.
✨Tip Number 3
Prepare to discuss your previous projects involving data analytics and programming. Be ready to explain your thought process, challenges faced, and how you overcame them, as this will showcase your problem-solving skills.
✨Tip Number 4
Research Howden Re and their approach to innovation in the reinsurance market. Understanding their business model and how your skills can contribute to their goals will help you stand out as a candidate who is aligned with their vision.
We think you need these skills to ace Knowledge Transfer Partnership (KTP) Associate in Artificial Intelligence
Some tips for your application 🫡
Tailor Your Supporting Statement: Craft a supporting statement that specifically addresses the qualifications and experience outlined in the job description. Highlight your expertise in LLM, data analytics, and programming, and explain how these skills make you an ideal candidate for the role.
Showcase Relevant Experience: Include examples of past projects or work that demonstrate your proficiency with LLM projects and ML tools. If you have publications or contributions to repositories like GitHub or GitLab, make sure to include links to these as they can significantly strengthen your application.
Highlight Communication and Project Management Skills: Since strong communication and project management skills are essential for this role, provide specific examples of how you've successfully collaborated on projects in the past. This could include teamwork experiences, leadership roles, or any relevant coursework.
Review and Edit: Before submitting your application, take the time to review and edit your CV and supporting statement. Ensure there are no grammatical errors and that all information is clear and concise. A polished application reflects your attention to detail and professionalism.
How to prepare for a job interview at UCL
✨Showcase Your Technical Skills
Be prepared to discuss your experience with LLM projects and machine learning tools. Highlight specific examples of how you've applied these skills in previous roles or academic projects, as this will demonstrate your capability to lead the innovation project.
✨Communicate Clearly
Strong communication skills are essential for this role. Practice explaining complex technical concepts in simple terms, as you may need to make advanced tools accessible to non-expert users. This will show your ability to bridge the gap between technical and non-technical stakeholders.
✨Demonstrate Collaboration
Emphasise your collaborative attitude during the interview. Share examples of how you've worked effectively in teams, especially in interdisciplinary settings, as this role involves close collaboration with marketing and data analytics experts.
✨Prepare Thoughtful Questions
Have a list of insightful questions ready to ask the interviewers. Inquire about the specific challenges they face in the reinsurance industry and how they envision the KTP Associate contributing to overcoming these challenges. This shows your genuine interest in the role and the company.