Data Scientist

Overview

As a Data Scientist in AXA Commercial, you will build end-to-end data science solutions that unlock business value using our cloud data lake and advanced ML/GenAI. You’ll partner with stakeholders to deploy production-ready models, shape analytics strategy, and drive data-driven decisions across the team. This role blends hands-on modelling with strategic influence to keep AXA Commercial at the forefront of analytics. You’ll mentor colleagues and help scale data science standards, delivering measurable impact at scale.

Pay / Benefits

• flexible working arrangements
• hybrid/remote work options

Responsibilities

• Build, deploy and monitor production-ready machine learning and GenAI solutions with stakeholder impact measurement
• Contribute to the analytics hopper by refreshing and expanding use cases
• Identify business problems solvable with data science and opportunities for analytics
• Serve as a point of contact for data science projects and stakeholder meetings
• Advocate for advanced analytics and data-based decision making across technical and non-technical teams
• Stay up to date with market trends to keep the team leading in analytics
• Help develop, roll out and drive data science strategy and standards
• Mentor and support junior team members

Key requirements

• Commercial experience in data science, ML or applied statistics
• Advanced Python capabilities for production-ready solutions
• Hands-on experience with Databricks and Azure ecosystem; Power BI desirable
• Proven experience developing and deploying ML models using modern Python frameworks
• Experience with LLMs and Generative AI in real business use cases
• Applied experience with MLOps tools (e.g., MLflow)
• Ability to communicate complex findings to non-technical audiences and senior stakeholders
• Proven track record delivering AI solutions with measurable business impact
• Eligible and authorised to work in the United Kingdom

• communication to non-technical audiences
• stakeholder management
• mentoring and coaching
• Python (production-ready)
• Databricks
• Azure ecosystem

…