Lead Data Scientist

AXA Health is seeking a Lead Data Scientist to lead our data science initiatives and drive innovation in the healthcare industry. You’ll have the opportunity to leverage your expertise in data analysis and machine learning within our dynamic and forward-thinking team, to shape the future of healthcare. If you’re passionate about making a real impact and are ready to lead a team of talented data scientists, we want to hear from you.

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 40% of your week away from home, moving to the majority of your working week from September 2025. Away from home means either attendance at either our Tunbridge Wells or Bristol office, visiting clients or attending industry events.

What you’ll be doing:

• Lead a team of data scientists in developing and implementing advanced data analytics, machine learning and traditional and generative AI solutions, to address complex challenges in healthcare.
• Collaborate with cross-functional teams to identify business opportunities, define data science strategies, and drive the development of innovative products and services.
• Oversee the end-to-end process of data collection, preprocessing, analysis, and model development to derive actionable insights and improve decision-making.
• Drive the development and deployment of scalable and efficient machine learning models and algorithms to enhance healthcare services and optimize business operations.
• Mentor and coach junior data scientists, fostering a culture of continuous learning, innovation, and excellence in data science practices.

What you’ll bring:

• In depth experience coaching and leading junior data scientists within a senior data science role.
• Demonstrable experience of developing complex AI projects with minimal supervision, working in line with best practices.
• Working knowledge of extracting business value from data science methods using both quantitative and qualitative metrics.
• Strong mathematical and statistical background.
• Deep knowledge of Python and data science packages such as Scikit learn, Keras, Tensor flow, and PySpark.
• Experience and understanding of mixed technical teams such as engineering, architects, business analysts.
• Familiar with MLOps industry best practices.
• Good stakeholder communication skills with proven ability to translate complex scientific findings to non-technical stakeholders.
• Understanding of the financial industry, in particular insurance, would be advantageous.

What we offer:

At AXA UK, we’re appreciative of the people who work for us and our rewards package is reviewed regularly to reflect that. You can expect to receive:

•       Competitive annual salary of up to £90,000 dependent on experience
•        Annual company & performance-based bonus
•        Contributory pension scheme (up to 12% employer contributions)
•       Life Assurance (up to 10 x annual salary)
•        28 days annual leave plus Bank Holidays
•        Opportunity to buy up to 5 extra days leave or sell up to 5 days leave
•        AXA employee discounts
•       Gym benefits

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.

Who we are:

At AXA Health, we help our members be the best version of themselves by providing access to health and wellbeing support for mind and body. We’re transforming our business by developing easy, efficient, digital experiences for our customers. We’re a collective of specialists passionate about helping our members flourish, whether that’s individuals and families, small businesses or huge corporates.