Job Description

It's an exciting time in our Pricing & Analytics department! Our transformation programme has recently been relaunched, aligned to AXA Retail's first ever Pricing & Analytics strategy. AXA are investing a lot in growing our department in size and capability - across our IT systems, analytical toolset and learning and development. We'd love to hear from motivated people who can help us deliver our commitments to our business, our customers, and our people.


Within AXA Retail we're looking for a Senior Machine Learning (ML) Operations Engineer to own and facilitate high frequency, high quality and high accuracy rating changes to Python deployments for our business. The role will involve playing a key role in building frameworks, tools and APIs which allow us to scale out our Python deployment processes, a key element of our quote & buy architecture.


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:

Own and help steer the development and operation of Python rating engines as part of ML Operations team. Enable P&A department to deliver value via creating seamless, efficient and controlled, through harmonious and simple routes for rating changes. Develop tools for the team and external teams to increase our rating capability. Contribute to architectural and technical documentation. Engage with stakeholders regularly and distil requirements into technical details. Work effectively both independently and as part of a collaborative team. Take ownership of AXA Retail business performance and how ML teams can contribute to that.

Due to the number of applications we expect to receive for this role, we reserve the right to close this advert earlier than the listed closing date to ensure we're able to effectively manage interest. Therefore, if you're interested in joining us at AXA, please don't hesitate to apply.

What you'll bring:

Excellent logical reasoning skills with a degree in a mathematical/technical related (e.g.: Mathematics, Computer Science, or Physics) or evidence of equivalent proficiency. Demonstrable experience in previous data science or software roles. Critical and analytical approach to problem structuring. Ability to continually learn and develop. Strong drive to deliver and comfortable collaborating in a team. Effective communication to technical and non-technical audiences. Strong initiative and desire to steer technical change. Experience working with Git.

As a precondition of employment for this role, you must be eligible and authorised to work in the United Kingdom.

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 66,000 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

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 martin.eels@axa-uk.co.uk.


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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.