AI Research Engineer

About [Employer hidden — sign up to reveal] Group

Since its inception, [Employer hidden — sign up to reveal] Group has sought a different approach to insurance. We are on a mission to be the ‘most inspiring specialty (re)insurance group in the world’. At the heart of [Employer hidden — sign up to reveal] are our people. Working together in dynamic, service-focused teams, we prioritise our customers in everything we do. Collaboration fuels our success, courage drives our innovation and continuous improvement keeps us ahead in a rapidly evolving industry. Our shared commitment is to revolutionise insurance for the better, one day at a time. We also believe that investing in our people is investing in our future. By empowering people across the Group to develop their careers, advance within the Group, and embrace new challenges, we build an environment where growth and learning never stop. Our competitive benefits package, offered via a flexible benefits platform, reflects this. Beyond core benefits, employees have the freedom to tailor their benefits to meet their individual needs, supporting their unique goals and ambitions.

Role Summary

As an AI Research Engineer, you will design and deploy behavioural learning models that emulate and predict human decision patterns across the digital suite. You will bring together machine learning, statistical modelling, causal inference, and real‑world behavioural analytics to influence how digital products make decisions, adapt to users, and improve workflows. Your models will power Digital Twin components, agentic decision systems, and intelligent automation across our digital suite. This role sits at the intersection of data science, behavioural modelling, software engineering, and product integration making your impact both technical and deeply strategic.

Key Responsibilities

• Develop behaviour‑driven learning models, including sequence models, timing models, and imitation learning architectures.
• Apply causal inference to identify, isolate, and measure the impact of specific decisions or workflow actions.
• Build probabilistic and sequential models capable of predicting next actions, intents, or outcomes.
• Collaborate closely with engineering teams to integrate behavioural intelligence into our digital suite product workflows.
• Conduct exploratory behavioural analyses to uncover patterns, heuristics, anomalies, and latent signals.
• Partner with ML engineers on Digital Twin and agentic model development, contributing behavioural dynamics and decision‑process modelling.
• Validate behavioural models using historical replay, A/B testing, simulation frameworks, and controlled experiments.
• Ensure model outputs are production‑ready, scalable, and aligned with real‑world product constraints.

Role Requirements

• Strong foundation in statistics, applied mathematics, or machine learning research.
• Experience with sequence models (LSTM, GRU, Transformers), Markov processes, or reinforcement‑learning‑based methods.
• Familiarity with imitation learning, behavioural cloning, and decision‑process modelling.
• Practical experience with causal inference frameworks such as DoWhy, CausalML, EconML, or similar.
• Proficient in Python and core scientific & ML libraries (NumPy, SciPy, PyTorch or TensorFlow).
• Strong exploratory data analysis skills and experience running hypothesis‑driven model development loops.
• Ability to work within engineering‑driven product environments, contributing to integration, validation, and iteration.

Additional Information

We are an equal opportunity employer, and we are proud to share that 93% of our employees say they can be themselves at work. We aim to hire our industry's finest people because the best people drive the best outcomes. And we forever challenge the status quo because we know there are always ways to improve things. Because together, we're limitless. We value applicants from all backgrounds and foster a culture of inclusivity. We understand the need for flexibility, so work in a hybrid model. Please let us know if you require any reasonable adjustments during the recruitment process.

FCA Conduct Rules Under the Senior Managers and Certification Regime the FCA and [Employer hidden — sign up to reveal] expects that: 1. You must act with integrity. 2. You must act with due skill, care and diligence. 3. You must be open and cooperative with the FCA, the PRA and other regulators. 4. You must pay due regard to the interests of customers and treat them fairly. 5. You must observe proper standards of market conduct. 6. You must act to deliver good outcomes for retail customers.