National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Research Scientist

Marston
3 weeks ago
Create job alert

We’re Aioi R&D Lab - Oxford, research and development centre in one of the fastest-growing insurance companies. And we’re proud of our warm and inclusive culture. We’re building a diverse community, with a unique blend of strengths, to take our business to the next level.

You’ll be a research scientist using the expertise about data science and the collaboration with business partners, technical partners and academic partners, developing new AI solution for insurance industry and contributing to solve societal problems over the world.

If you’re looking to go further, faster join us and enjoy every opportunity.

CHALLENGED NOW AND-EXPERT NEXT.

Responsibilities:

  • Conduct feasibility assessments and validate the suitability of cutting-edge technologies, such as machine learning, big data analytics, generative AI, multi-agent systems, and quantum computing, within the insurance and risk consulting domain.

  • Collaborate with cross-functional teams to identify social and business challenges in the industry and develop innovative solutions that leverage the identified technologies.

  • Analyze complex data sets and provide insights to support strategic decision-making processes for clients in the insurance sector.

  • Design and implement proof-of-concept projects to demonstrate the potential value and practical implementation of the identified technologies.

  • Stay up-to-date with the latest advancements and emerging trends in technology, specifically related to the insurance industry, and provide recommendations on their potential impact on our services.

  • Support business development efforts by participating in client meetings, presentations, and proposals, showcasing the benefits and capabilities of our technology solutions.

    Knowledge, Experience and Qualifications:

    Essential

  • You have experience with some modelling paradigms and techniques such as active learning, transfer learning, agent-based modelling, optimisation, Bayesian inference, entity extraction/resolution, spatio-temporal modelling.

  • Enjoy developing models from first principles and are unbiased in your choice of modelling techniques.

  • Experience across some of the lifecycle of a model including requirements gathering, converting these into actionable tasks, model implementation, validation and deployment.

  • Ability to conduct research, produce conceptual models, develop prototypes and mentor others in the process.

  • Experience communicating complex modelling concepts to a range of audiences both technical and non-technical.

  • Experience assuming a technical leadership role on projects.

  • You have a good first degree in a STEM subject with a significant mathematical component. A PhD is not required but is an advantage.

  • Programming skills in Python.

  • Experience handling large datasets, suitable software techniques and hardware requirements.

  • Knowledge of software development lifecycle and Agile methodologies.

  • Other programming languages (Java, JavaScript/TypeScript).

  • Ability to communicate complex ideas at varying levels of depth according to audience

    Desirable

  • Initiating projects from scratch including the consideration of business model.

  • Deep knowledge for insurance industry.

  • Strong interest for global business, especially in Japan.

    Why Join Us?

    We're all about helping you grow, with plenty of support to develop in your current role whilst also creating opportunities to explore new ones and advance your career.

    We realise that we need to be a good fit for you above all else – so here’s what you can enjoy about AND-E:

  • Recognised as the Best Large Insurance Employer: We are proud to have been named the Best Large Insurance Employer for 2023 at the prestigious British Insurance Awards.

  • Unmatched Work-Life Balance.

  • Competitive Salaries and Benefits Package: We offer competitive salaries that recognise your skills and expertise.

    Our community’s unwritten rule is to be as flexible as we can be. We understand life happens, and on occasion, we all need a bit of give and take in our day. We don’t want you missing your child’s school play, or the new fridge being delivered. We believe our colleagues should have choice, flexibility, and balance in their home and work life, and we are committed to fostering a diverse, equitable, and inclusive environment where everyone feels valued and supported, including embracing neurodiversity and ensuring all individuals have the tools and opportunities they need to thrive. Our colleagues should have choice, flexibility and balance in their home and work life.

    We like to think our benefits package is one of the best, focusing on colleagues’ health, wealth, and lifestyle. We offer:

  • 28 Days annual leave with the option to buy/sell up to 5 days holiday*

  • 15% Discretionary Annual Bonus*

  • Private Medical & Permanent Health Insurance*

  • 4 x Annual salary Life Assurance*

  • Health and Wellbeing Benefits: Including money back on health-related expenses (optician, dental, physio, etc.), Flu Jab vouchers, Virtual GP service, Employee Assistance Programme, and enhanced family-friendly policies (baby bonus & pension advisory service)

  • Financial and Lifestyle Support: Offers financial flexibility through Wagestream*, annual season ticket loans*, cycle scheme*, and £250 towards driving lessons for you and dependents*.

  • Subject to company performance and completion of probation

    Aioi Nissay Dowa Europe is committed to promoting equal opportunities in employment. Employees and job applicants will receive equal treatment regardless of age, disability, gender reassignment, marital or civil partner status, pregnancy or maternity, race, colour, nationality, ethnic or national origin, religion or belief, sex or sexual orientation (Protected Characteristics)

Related Jobs

View all jobs

Research Scientist, Quantum Chemistry and Machine Learning, London London

Research Scientist in Quantum Algorithms at Quantinuum, UK

Research Scientist, Quantum Algorithms

Biosensor Research Scientist (Nanotechnology)

Quantum Research Manager

Senior Quantum Technology Recruitment Consultant

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Return-to-Work Pathways: Relaunch Your Quantum Computing Career with Returnships, Flexible & Hybrid Roles

Re-entering the workforce after a career break can feel especially ambitious in a cutting-edge field like quantum computing. Whether you paused your professional journey for parenting, caring responsibilities or another life chapter, the UK’s quantum sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, targeted upskilling and supportive networks to ease your transition back. In this guide, you’ll learn how to: Understand the current demand for quantum computing talent in the UK Translate your organisational, communication and problem-solving skills into quantum contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to quantum computing Find roles that accommodate family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to quantum Draw inspiration from real returner success stories Get answers to common questions in our FAQ section Whether you aim to return as a quantum algorithm developer, hardware engineer, applications specialist or research scientist, this article will map out the steps and resources you need to reignite your quantum computing career.

LinkedIn Profile Checklist for Quantum Computing Jobs: 10 Tweaks to Attract Top Recruiters

Quantum computing is revolutionising fields from cryptography to materials science, and demand for skilled quantum engineers and researchers is soaring. Recruiters search for candidates proficient in qubit technologies, quantum algorithms, error correction and hybrid quantum-classical workflows. To stand out, your LinkedIn profile must be optimised for quantum-specific keywords and showcase your technical impact. This step-by-step LinkedIn for quantum computing jobs checklist delivers ten precise tweaks to attract top recruiters. Whether you’re designing quantum circuits, developing algorithms in Qiskit or leading quantum hardware projects, these actionable optimisations will ensure your profile shines in search results and recruiter feeds.

Part-Time Study Routes That Lead to Quantum Computing Jobs: Evening Courses, Bootcamps & Online Masters

Quantum computing promises to revolutionise fields from cryptography and optimisation to materials modelling and drug discovery. By harnessing quantum phenomena—superposition, entanglement and tunnelling—quantum algorithms can tackle problems that classical computers find intractable. As quantum hardware matures and software stacks evolve, UK organisations in finance, defence, pharmaceuticals and national research centres are seeking quantum computing experts—research scientists, quantum software engineers and quantum algorithm developers. However, many ambitious professionals cannot take sabbaticals for full-time study. Thankfully, part-time learning pathways—Evening Courses, Intensive Bootcamps and Flexible Online Master’s Programmes—enable you to learn quantum computing while working. This extensive guide outlines every route: foundational modules, immersive bootcamps, accredited online MScs, plus funding options, planning strategies and a practical case study. Whether you’re a physicist, software developer or data scientist, you can build quantum expertise alongside your current career.