Description
We're looking for a Data Science and AI Manager to join our new Analytics team at AXA Commercial. You'll play a crucial part in leveraging data, analytics, and AI to provide value to our customers and AXA Commercial. Your responsibilities will include driving advancements in AI, utilising internal technology capabilities, developing AI solutions, and leading the introduction of machine learning into our customer journeys, internal processes, and analytics models. You'll collaborate with a team of passionate Data Scientists, Analysts, and Engineers who are dedicated to utilising Azure Databricks architecture to extract insights and create value across various areas of the analytics landscape.
AXA Commercial has a transformational opportunity to revolutionise its business and operations through the strategic use of data, analytics, and artificial intelligence capabilities, supported by a robust and scalable architecture and infrastructure. We're excited by the opportunity to harness the power of data to unlock value across all areas of our business, enabling faster, more efficient and better-informed decision making through automation, augmentation and advanced analytics.
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 40% of your week away from home, moving to the majority of your working week from September 2025. Away from home means either attendance at one of our office locations, visiting clients or attending industry events.
What you'll be doing:
• Be a thought leader in both traditional and new Data Science and Artificial Intelligence.
• Proactively share analytics knowledge and train colleagues to be capable of delivery value through advanced techniques, including AI and ML.
• Line and delivery management of team members to deliver valuable analytics and support their development.
• Oversee the effectiveness of the team's analytics models, including AI & ML models, and develops the team's ability to apply statistics, data mining and predictive modelling techniques to gain insights, predict behaviours and generate value.
• Provide a work environment and resources that allow individuals and workgroups to perform their tasks efficiently, and encourages transparency, open communication, and high levels of engagement.
• Delivery of analytics models to provide value to AXA customers and the organisation. This includes the design, build, and productionisation of Machine Learning models and products.
• Undertake and supports team members in the refinement of requirements, whilst also, validating, training and evolving models over time to discover deeper insights, make predictions, or generate recommendations.
• Lead the monitoring and maintenance of productionised models to deliver high-quality, reliable analytics products.
• Stakeholder engagement to keep up to date on AXA, maintain relationships, and develop opportunities to provide value to customers, colleagues, and the business.
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:
• Skilled in assessing and providing guidance on the performance of AI and machine learning models, including their effectiveness and the application of various advanced techniques such as statistics, data mining, predictive modelling, generative AI, and more.
• Working experience of investigating business opportunities, developing hypotheses, and leading analytics projects to robust, scientific standards.
• Strong experience in applying AI and machine learning techniques to new and existing problems and datasets as well as assessing whether AI and Machine Learning is likely to provide an effective solution using specialised programming techniques and languages including Python, R, and SQL.
• Familiar in working with Cloud, Storage, and ML tools and technologies such as GCP, Azure, ML services, Databricks, Vector DB, MongoDB.
• Demonstrable understanding of delivering and leading through MLOps and embedding and integrating models into operationalised processes and software.
• Knowledgeable and experienced in productionising analytics products at different scales and in different systems, to a consistently reliable standard.
• Ability to lead a small team of Data Scientists including the management of the team's operational delivery and capability development.
• Drive to continually develop skills, learn new analytics techniques and technologies, and keep up to date with developments in the analytics landscape.
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 dependent on experience
• Annual company & performance-based bonus
• Contributory pension scheme (up to 12% employer contributions)
• Life Assurance (up to 10x annual salary)
• Private health cover
• 28 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 health condition or disability and require reasonable 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.
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Who we are:
AXA Commercial protects businesses, from multinationals to micro start-ups, giving them the confidence to thrive. We're currently making our biggest ever investment to develop the expertise and skills we need to be the best. We're a vibrant community where everyone is supported to learn, develop, and take ownership of their work.
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