Data Scientist

AXA UK; West of England; Hybrid; GBP 65,000 - 95,000; Full time

Job summary

AXA UK is seeking an experienced Data Scientist to join the Commercial team. You will design end-to-end data science solutions within a cloud-based data lake, building advanced ML and GenAI models to drive measurable business impact.

You will collaborate with business stakeholders, deploy production-ready solutions, and mentor junior colleagues while contributing to the DS strategy and standards across AXA Commercial.

Qualifications

• Commercial experience in data science with machine learning or applied statistics.
• Advanced Python proficiency and production-grade solution development.
• Hands-on Databricks and Azure experience; Power BI is a plus.

Responsibilities

• Build, deploy and monitor production-ready ML and GenAI solutions with business stakeholders.
• Contribute to analytics hopper with new use cases.
• Identify opportunities for analytics-driven business problems.
• Be a point of contact for data science projects with stakeholders.
• Advocate for advanced analytics and data-based decision making across teams.
• Stay updated on market trends and guide DS strategy and standards.
• Mentor junior team members.

Skills

Advanced Python

Databricks

Azure ecosystem

GenAI/LLMs

MLOps (MLflow)

communicating to stakeholders

Production ML

Tools

MLflow

Power BI

Databricks tooling

Job description

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 Commercial protects businesses, from multinationals to micro start-ups, giving them the confidence to thrive.

Job overview:

We have a fantastic opportunity for an experienced Data Scientist to join our Commercial team. You'll be building end to end data science solutions to solve some of AXA Commercial's toughest problems and deliver significant business value. It's a really exciting time to join as you'll leverage our cloud-based data lake, design our advanced machine learning and AI models and influence the business in respect of its understanding and use of data.

Key responsibilities:

• Build, deploy and monitor production-ready machine learning and GenAI solutions, working with business stakeholders to define and measure their impact.
• Contribute to the analytics hopper, helping keep it updated and refreshed with new use cases.
• Identify opportunities or business problems where analytics can be solved with data science.
• Be a point of contact for data science projects, including meetings with stakeholders.
• Sell the vision of advanced analytics and data-based decision making to wider stakeholders, managing engagement with both technical and non-technical teams.
• Keep up to speed with latest trends in the market and ensure AXA Commercial Data Science team are leading the way.
• Help develop, roll out and drive data science strategy and standards across team.
• Support and mentor junior members of 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%) from December 2026. 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:

• Commercial experience in data science, machine learning or applied statistics, with excellent software engineering skills.
• Advanced Python capability, with experience building robust, production ready solutions.
• Hands on experience working with Databricks and the Azure ecosystem; experience using Power BI is desirable.
• Proven experience developing and deploying machine learning models using modern Python frameworks and libraries.
• Experience with LLMs and Generative AI, including practical implementation in real business use cases.
• Applied experience with MLOps practices and tools, such as MLflow, to take models from experimentation into production.
• Ability to communicate complex technical findings clearly to non-technical audiences and senior stakeholders.
• Demonstrated track record of delivering AI solutions that drive measurable business impact.

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.

For our support, please send an email to [e-mail].