At a Glance
- Tasks: Lead a team to design and develop enterprise data models that drive our data strategy.
- Company: Join AXA, a global leader in insurance and financial services.
- Benefits: Flexible working arrangements, competitive salary, and opportunities for professional growth.
- Other info: Dynamic work environment with a focus on innovation and collaboration.
- Why this job: Make a real impact by turning complex data into clear, scalable models.
- Qualifications: Expertise in data modelling and experience in a technical leadership role.
The predicted salary is between 70000 - 90000 £ 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.
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 looking for a talented Lead Data Modeller to join our Data Modelling function, leading a team of modellers to drive our data strategy forward.
You'll provide expert technical leadership and practical hands-on support in designing, developing, and standardising enterprise data models.
Your expertise will ensure our data remains consistent, efficient, and perfectly aligned with business needs and architectural standards.
If you thrive on turning complex data requirements into clear, scalable models, we'd love to hear from you!
Key responsibilities
- Act as a technical authority on data modelling, establishing and upholding best practices, standards, and guidelines across all teams.
- Design and develop high-level conceptual, logical, and physical data models for critical enterprise data domains.
- Provide guidance and mentorship to both onshore and offshore Data Modeller teams, including technical oversight, design reviews, and quality assurance.
- Work closely with business analysts, solution architects, and data engineers to translate business needs into robust and scalable data models.
- Conduct data analysis and profiling to support the design and optimisation of data models.
- Ensure data models are integrated with metadata management tools such as Collibra or Erwin, to maintain a comprehensive data catalogue.
- Keep up to date with emerging data modelling techniques and technologies, recommending their adoption where suitable.
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
- Expertise in data modelling techniques across conceptual, logical, and physical levels, with a solid understanding of various methodologies.
- Proven experience in a technical leadership role, including mentoring and guiding teams of data professionals.
- Proficiency with data modelling tools such as Erwin or similar platforms.
- Knowledge of database design principles, including relational, dimensional, and No SQL databases.
- Excellent analytical skills with a keen eye for detail, ensuring accurate and optimised data models.
- Ability to clearly explain complex technical concepts to both technical and non-technical stakeholders.
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.
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Lead Data Modeller employer: AXA Group
AXA is an exceptional employer, offering a supportive and dynamic work environment in Tunbridge Wells for nurses looking to make a meaningful impact. With a strong focus on employee growth, we provide comprehensive training, flexible working arrangements, and the opportunity to work from home, ensuring a healthy work-life balance. Join our dedicated health support team and enjoy the benefits of being part of a global leader in insurance, where your contributions truly matter.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Modeller
✨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!
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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.
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We think you need these skills to ace Lead Data Modeller
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.
