Senior Data Scientist
AXA UK
- Manchester, England, United Kingdom
- Manchester, England, United Kingdom
Über
What you’ll be doing Within AXA Retail we’re looking for a Senior Data Scientist. You’ll support initiatives that leverage internal data assets and innovative techniques to develop features and insights that enhance pricing models and strategic decision-making. You’ll be involved in exploring, experimenting with, and optimizing internal data to generate high-value features that improve model performance and business outcomes.
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 either attendance at one of our office locations, visiting clients or attending industry events. We’re also happy to consider flexible working arrangements, which you can discuss with Talent Acquisition.
What you’ll be doing: responsibilities
Assist in identifying and developing innovative features and insights from internal data sources to enhance business value.
Support the design, testing, and refinement of features derived from internal data.
Collaborate with data engineering teams to operationalize features within scalable production environments.
Maintain a good understanding of internal data assets, ensuring quality, consistency, and accessibility.
Contribute to strategies for data cataloguing, lineage, and documentation to support exploration and reuse.
Work with IT and data platform teams to help develop scalable, robust data pipelines.
Support the application of advanced analytical techniques (spatial analysis, text mining, interaction features) to uncover hidden value.
Partner with pricing, underwriting, claims, and fraud teams to understand data needs and communicate findings.
As a precondition of employment for this role, you must be eligible and authorised to work in the United Kingdom.
What you’ll bring
Strong statistical modelling, data manipulation and financial analysis skills
Proficient in open-source predictive analytics software such as R and Python for advanced data analysis.
Ability to work effectively under pressure, meet strict deadlines, and maintain high levels of accuracy and reliability.
Proven ability to plan and prioritise own work. Ability to work under pressure and to strict deadlines whilst maintaining reliability and accuracy.
Excellent numerical and mathematical skills, with a degree in a related discipline or equivalent proficiency.
Detailed understanding of appropriate statistical techniques for insurance risk analysis and demand pricing
Ability to grasp the significance and meaning of a range of technical and complex issues relating to underwriting, claims handling, pricing, reserving and financial analysis of insurance.
What we offer
Competitive annual salary dependent on experience
Annual company & performance-based bonus
Contributory pension scheme (up to 12% employer contributions)
Life Assurance (up to 10 x annual salary)
Private medical cover
25 days annual leave plus Bank Holidays
Opportunity to buy up to 5 extra days leave or sell up to 5 days leave
Wellbeing services & resources
AXA employee discounts
How to apply To apply, click on the ‘apply for this job’ 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 saraya.cussons@axa-uk.co.uk.
Who we are AXA Retail helps people live the life they love, knowing we’ve got their back, at home and on the road. Our people are vital to us becoming more digital, faster and easier to access. We’re a dynamic team of experts completely committed to making sure our customers ‘get back to the good stuff’ when the unexpected happens.
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Sprachkenntnisse
- English
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