Lead Data Scientist
Not disclosed
Salary
Not disclosed by employer
£55,100
Going rate
Skilled Worker going rate
This role likely qualifies for a Skilled Worker visa
SOC 2433 (85% match) is an eligible occupation, with a going rate of £55,100, and Women in Data® is a licensed sponsor. That is our reading of the rules. Whether they issue a Certificate of Sponsorship is still their call.
This could also be SOC 2133 (IT business analysts, architects and systems designers, Data scientist in computing/IT context with MLOps focus). We read the code off the advert, so it is our best guess, not the employer's.
About the role
- Locations: 20 Gracechurch Street, LONDON, GB, EC3V 0BG
- Salary: £85,000 to £95,000 dependent on experience
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 UK Support Functions look after our three customer-facing business units, providing the infrastructure and expertise to make sure we can be there for our customers.
Job overview:
We’re seeking a talented Lead Data Scientist to work on some of our most exciting and complex challenges, developing innovative data science solutions that really make a difference. You'll get to work with our state-of-the-art, cloud-based data lake, build sophisticated machine learning and Agentic AI models, and mentor a squad of talented data scientists. Having a real say in how the business understands and uses data, you’ll help shape the future of AXA. It’s an exciting time to join us and make a tangible impact!
Key responsibilities:
- Lead and deliver data science projects from start to finish, that provide valuable insights and benefits for the business.
- Create data science solutions, making sure models are developed, deployed, and monitored effectively using strong LLMOps/MLOps practices.
- Find opportunities and problems where data science can make a real difference.
- Stay informed about the latest trends and advancements in AI, data science and machine learning through reading, conferences, and industry news.
- Share knowledge and ideas by researching best practices, testing new concepts, and working with industry experts.
- Build connections with universities and contribute to open-source projects to keep the team innovative.
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:
- Expertise in Agentic and Generative AI and their application within regulated environments, such as Financial Services.
- Proven proficiency in LLMOps/MLOps practices to enable seamless development, deployment, and continuous monitoring of LLMs, agentic systems, and machine learning models in production.
- Demonstrated knowledge of data science techniques and machine learning models, with practical experience in creating and deploying ML solutions within a business context.
- Experience with Databricks model serving on the Azure cloud platform.
- Previous roles involving mentoring junior team members within a data science environment.
- Success in leading end-to-end data science projects that generate measurable business value.
- Strong proficiency in Python, including familiarity with machine learning libraries, data visualisation tools, and version control systems.
- Excellent communication skills, with the ability to engage effectively with both technical colleagues and non-technical stakeholders.
As a precondition of employment for this role, you must be eligible and authorised to work in the United Kingdom.
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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This description is the source posting as it read when we added it. We are not affiliated with Women in Data®, so check their own site for the current details.
Where this offer sits in the market
SOC 2433 · UK · ONS ASHE 2025 · ~40k in sampleSimilar sponsored roles
See all UK visa jobsNo close matches live right now.
Browse more sponsored jobs at Women in Data®About sponsorship for this role
Does this job guarantee visa sponsorship?
Not necessarily. Women in Data® holds a sponsor licence, but sponsorship for a specific hire is always the employer's decision. Be upfront in your application that you'll require it.
What salary is needed for this role to be eligible?
The offer must clear both the general threshold and the SOC 2433 going rate of £55,100. New-entrant and shortage discounts can lower it.