AXA XL recognizes digital, data, and information assets are critical for the business, both in terms of managing risk and enabling new business opportunities. Data Science and Applied AI assets should not only be high quality but also drive a sustained enterprising advantage and deliver an excellent experience to our internal, and external customers, and improve efficiency. Our Innovation, Data & Analytics (IDA) function is focused on driving innovation by optimizing how we leverage digital, data, and AI to drive strategy and differentiate ourselves from the competition. As we develop an enterprise-wide data and digital strategy that moves us toward a greater focus on the use of data and strengthening our digital, AI capabilities, we are seeking a Scientist for Data Platform Optimization. In this role, you will research and apply engineering best practices and the latest technology to lead physical design for data layers and evolve ways of working to support rapid growth in data inventory as well as the variety and number of deployed data science applications. The platform is expected to enable scalable data acquisition and transformation, BI and web app serving, insight generation, full data, and ML engineering lifecycle including controlled deployment to production and ongoing monitoring and operations. Our tech stack continues to evolve: Azure Data Factory, Azure Data Lake, Azure Synapse, Power BI, Collibra, Databricks, Pyspark, Harness CI/CD, OpenShift, GitHub, JIRA DISCOVER your opportunity
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