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About AXA:
AXA is a global leader in insurance and financial services, dedicated to helping customers protect what matters most to them. As the sixth-largest insurance company in the world, we provide a wide range of services, including health, car, home, and business insurance. We support millions of customers worldwide, helping them navigate life's uncertainties with confidence.
AXA Health supports members to put their health first, from individuals to huge corporates, with fast access to diagnosis and treatment when they need it.
Job overview:
As part of our ambitious strategy, AXA Health is seeking a skilled Data Scientist to join our dynamic and innovative team. You’ll play a key role in designing, developing, and deploying data science and AI solutions that deliver real commercial value and improve the health and well-being of our customers. If you're passionate about using data and AI to make a genuine difference, we want to hear from you!
Key responsibilities:
- Lead and deliver data science and AI projects across the full lifecycle, from problem definition and business case development through to model deployment.
- Apply a broad range of AI and data science methodologies across multi-modal data sources, tackling complex challenges spanning the entire customer journey, from acquisition and retention through to servicing, claims, and beyond.
- Communicate findings and results clearly and compellingly to non-technical audiences, while educating and inspiring stakeholders on the transformative potential of AI and data science.
- Take full ownership of existing ML/AI models, ensuring robust and ongoing monitoring of performance, data drift, scoring latency, and continuous optimization.
- Ensure full compliance with regulatory frameworks and data privacy standards, while proactively championing AXA's Responsible AI principles throughout every stage of the project lifecycle.
- Commit to continuous professional development, staying at the forefront of emerging trends in AI and data science and actively sharing knowledge across the team.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Work arrangements:
At AXA, we work smart, empowering our people to balance their time between home and the office in a way that works best for them, their team, and our customers. You'll work at least two days a week (40%) away from home, moving to three days a week (60%) in the future. Away from home means attending the office, visiting clients, or attending industry events. We’re also happy to consider flexible working arrangements, which you can discuss with Talent Acquisition.
Your skills & experience:
- Master's degree or equivalent in a highly numerical field such as data science, AI, mathematics, statistics, or computer science.
- A strong foundation in supervised, unsupervised, and deep learning methods, with a proven track record of applying these techniques to solve complex business problems, ideally within financial services or a regulated industry.
- Hands-on expertise developing and deploying generative AI projects, including LLMs, prompt engineering, fine-tuning, RAG techniques, and AI agents.
- Proficiency in cloud environments, particularly Azure and Databricks, with familiarity with Azure DevOps tools such as Boards, Repos, and Pipelines.
- Strong knowledge of explainable AI methods and best practices in MLOps and LLMOps.
- Advanced programming skills in Python and SQL, with a solid understanding of data visualization techniques.
- Experience working in agile and cross-functional teams, with a strong collaborative approach and a genuine commitment to ethical and responsible AI practices.
- As a precondition of employment for this role, you must be eligible and authorized to work in the United Kingdom.


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How to apply:
To apply, click on the ‘apply now’ button, you’ll then need to log in or create a profile to submit your CV. We’re proud to be an Equal Opportunities Employer and don’t discriminate against employees or potential employees based on protected characteristics. If you have a long-term condition or disability and require adjustments during the application or interview process, we’re proud to offer access to the AXA Accessibility Concierge. For our support, please send an email to leanne.white@axa-insurance.co.uk.
We encourage you to apply for this opportunity as soon as possible, as we may close this advert earlier than the listed closing date.
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