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

Location: Domestic & General Insurance Plc (D&G), Swan Court, 11 Worple Road, Wimbledon, London, SW19 4JS

Contract Type: Fixed Term (36 months)

Closing Date: 23.59 hours GMT on Sunday 05 January 2025

Interview Date: To be confirmed

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.

Skills/ experience required include:

• 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.

Additional Benefits and support:

• 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. 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. https://www.domesticandgeneral.com/ 

Location: You will be based predominantly at D&G in London. Some travel to Aston University in Birmingham and key clients across the UK may be required. The company has adopted a hybrid working mode, but you will be expected to work on site for at least 2 days a week. 

This role is likely to meet the criteria for endorsement under the ‘Endorsed Funder’ route of the Global Talent visa. Please see the published Home Office guidance: https://www.gov.uk/global-talent. 

Further details: Job Details

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