Lead Data Scientist at AXA

Ipswich City, Queensland, Australia -

Full Time

Start Date

Immediate

Expiry Date

05 Mar, 26

Salary

0.0

Posted On

05 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Artificial Intelligence, Machine Learning, Predictive Modelling, Statistical Analysis, Python, R, SQL, Azure, Databricks, MLOps, Stakeholder Engagement, Mentoring, Continuous Learning, Cloud Computing, Generative AI

Industry

Insurance

Description

Are you passionate about turning data into actionable insights? Do you thrive on leading innovative projects that make a real difference? AXA Commercial is seeking a talented Lead Data Scientist to join our dynamic Commercial Data Science team. You'll be at the forefront of applying advanced analytics and artificial intelligence to create tangible value for our customers and the business. Your expertise will help shape data-driven strategies, optimise processes, and enhance customer experiences across the organisation. As our Lead Data Scientist, you'll have the chance to collaborate with a skilled team of Data Scientists, Analysts, and Engineers, harnessing cutting-edge tools like Azure Databricks to uncover insights and develop scalable solutions. This is an exciting opportunity to explore diverse datasets, solve complex use cases, and lead end-to-end projects that drive strategic decision-making and operational excellence. 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: Act as a technical leader in data science and AI, setting standards and guiding best practices. Design, build, and productionise machine learning models and analytics products that deliver business value. Collaborate with senior stakeholders to identify opportunities, define requirements, and translate business challenges into data-driven solutions. Oversee the performance and reliability of deployed models, ensuring continuous improvement and scalability. Mentor and support junior Data Scientists, fostering a culture of learning and innovation. Apply advanced techniques such as predictive modelling, generative AI, and statistical analysis to solve complex problems. Work with cloud-based platforms and tools such as Azure, Databricks, and ML services, to deliver robust solutions. Ensure models are embedded into operational processes through MLOps best practices. Communicate insights and recommendations effectively to technical and non-technical audiences. 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: Proven experience in delivering end-to-end data science projects, from ideation to production. Strong technical expertise in machine learning, AI, and advanced analytics techniques. Proficiency in Python, R, SQL, and familiarity with cloud and ML tools such as Azure, Databricks, and Vector DB. Experience with MLOps and integrating models into production environments. Ability to assess model performance and apply techniques like data mining, predictive modelling, and generative AI. Skilled in stakeholder engagement and translating business needs into actionable solutions. Collaborative mindset with the ability to mentor and guide junior team members. Commitment to continuous learning and staying ahead of developments in the data science 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 10 x annual salary) Private medical 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 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 leanne.white@axa-insurance.co.uk. #LI-DNI 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.

Responsibilities

As a Lead Data Scientist, you will act as a technical leader, designing and building machine learning models that deliver business value. You will collaborate with stakeholders to identify opportunities and mentor junior team members.