KTP Associate in Multimodal Content Analytics, Machine Learning, and Rule-Based Generative AI

The project aims to implement the latest advances in Artificial Intelligence (AI) to develop a novel Intelligent Insurance Fraud Detection System (IIFDS). This will identify high-risk behaviours and patterns enabling the early detection of potentially fraudulent activity to transform Domestic and General (D&G)'s approach to insurance fraud.
Key areas of focus include:
+ Building risk-scoring models based on internal and external data to flag high risk individuals and/or claims early - potentially refusing sales or charging higher premiums
+ Network analytics: developing models to tie together individual and device details with the aim of identifying duplicate accounts (currently being used to mask fraudulent activity)
+ Call transcript analytics- to identify fraud indicators from customer phone calls and build Generative AI (Gen-AI) models to flag these indicators from transcripts.
+ Creating a fraud detection ecosystem which expedites the work of operational teams.
The project applies the latest AI techniques in a transformative way for D&G, innovative to the industry, by mitigating risk and fraud in insurance claims and improving operational efficiency.
Candidate Profile: At least MSc degree in Data Science, preferably a PhD, together with a demonstrable level of project/research expertise.

+ Robust knowledge in data science, machine learning (ML), and predictive analytics particularly in NLP
+ Experience using rule-based Generative AI (Gen-AI) models
+ Significant experience in solving language-based problems
+ A proven background of working with large datasets, and exposure to commercial environments
+ Industry experience alongside relevant academic background
Desirable:
+ Knowledge of network analytics and voice analytics
+ User centric Graphical User interface (GUI) and User Experience
+ Producing academic publications of the highest standards
+ Technical writing and reporting, etc.
Personal attributes:
+ An aptitude to learn and solve technical challenges.
+ The capability to work both independently and collaboratively.
+ Effective communication skills for transferring technology insights from Aston into D&G.
+ Strong skills in documentation, report writing and presenting for a range of audiences
+ Project management skills with the ability to develop workplans and work to deadlines.

+ Up to £6,000 for personal and professional development for the duration of the project
+ Annual leave (25 days p/a)
+ Professional support and mentorship
+ Mental Health and wellbeing: https://www.aston.ac.uk/staff-public/hr/Benefits-and-Rewards/health-wellbeing
+ Career prospects: 60% of our KTP associates are being offered employment by the companies at the end of the KTP.
This is a Knowledge Transfer Partnership (KTP) funded by Domestic & General Insurance Plc and Innovate UK. It is essential you understand how KTP works and the vital role you will play if you secure this position. To learn more please visit: www.aston.ac.uk/ktp
The Company: Domestic & General (D&G) has been a trusted provider of aftercare insurance for millions of domestic appliances e.g. boiler and heating/white goods etc. for more than 100 years. It is the UK's leading provider of appliance breakdown protection via access to a network of expert engineers (both independent and specific to appliance manufacturers) with unlimited repairs, including replacement of goods beyond economic repair. More about the company: https://www.domesticandgeneral.com/
Aston University: You will work in a project team with Dr Amal Htait and Prof Abdul Sadka at Aston University and the Senior Management Team at D&G with the support of the IUK-KTN's Knowledge Transfer Adviser.