At a Glance
- Tasks: Lead innovative data science projects and mentor a talented team.
- Company: Join AXA, a global leader in insurance and financial services.
- Benefits: Flexible working arrangements, competitive salary, and career development opportunities.
- Other info: Dynamic work environment with a focus on innovation and collaboration.
- Why this job: Make a real impact with cutting-edge AI and data solutions.
- Qualifications: Expertise in data science, machine learning, and mentoring skills required.
The predicted salary is between 49500 - 60500 £ per year.
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.
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 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.
- Help develop and promote the team’s data science strategies and standards.
- Manage and support a team of data scientists, helping them grow and develop their skills.
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
- Proven expertise in data science techniques and machine learning models, with hands-on experience in developing and deploying ML solutions in a business setting.
- Practical knowledge of MLOps practices to facilitate seamless model development, deployment, and ongoing monitoring.
- Working knowledge of Agentic and Generative AI and their usage within regulated environments, such as Financial Services.
- Experience with Databricks model serving on the Azure cloud platform.
- Previous experience with mentoring junior team members within a data science environment.
- Demonstrated success in leading end-to-end data science projects that deliver measurable business value.
- Proficiency in Python, including familiarity with machine learning libraries, data visualisation tools, and version control systems.
- Excellent communication skills, capable of engaging 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
We’re proud to be an Equal Opportunities Employer and don’t discriminate against employees or potential employees based on protected characteristics.
#J-18808-Ljbffr
Lead Data Scientist in London employer: AXA Group
AXA XL in London is an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation within the insurance sector. Employees benefit from comprehensive professional development opportunities, competitive compensation, and a strong emphasis on work-life balance, making it an ideal environment for those looking to advance their careers in underwriting while enjoying the vibrant atmosphere of London.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Scientist in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like AXA Group!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Lead Data Scientist at AXA Group.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like AXA Group.
✨Apply Directly through Our Website
When you find a suitable opening like Lead Data Scientist at AXA Group, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Lead Data Scientist in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at AXA Group, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at AXA Group. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at AXA Group
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at AXA Group!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
