Data Scientist in Royal Tunbridge Wells

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 optimisation.
• 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.

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 businessproblems, 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 Dev Ops 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 visualisation 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 authorised to work in the United Kingdom.

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.

We encourage you to apply for this opportunity as soon as possible, as we may close this advert earlier than the listed closing date. #LI-Hybrid

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