Senior Data Analyst II - Applied Augmented Intelligence w Wrocław, Dolnośląskie sprżedam

AXA XL recognizes data and information as critical business assets, both in terms of managing risk and enabling new business opportunities. This data should not only be high quality, but also actionable – enabling AXA XL’s executive leadership team to maximize benefits and facilitate sustained competitive advantage. Our Chief Data Office also known as our Enterprise Data Solutions team (EDS) is focused on driving innovation through optimizing how we leverage data to drive strategy and create a new business model – disrupting the insurance market. As we develop an enterprise-wide data and digital strategy that moves us toward greater focus on the use of data and data-driven insights, we are seeking a Senior Data Analyst II supporting our Applied Augmented Intelligence Center of Excellence (CoE). In this role you will drive strategy and awareness of AI within our function and with our customers. We seek candidates who have the skills and research experience to join a new team in order to push the boundaries of pure mathematics, theoretical statistics (incl. parametric and non-parametric Bayesian statistics) and machine learning (incl. deep learning and reinforcement learning). Identify, develop and implement Machine Learning and Artificial Intelligence capabilities within AXA XL’s Data Ecosystem Engagement Platform (DEEP) Develop solutions to work within AXA XL’s Cloud, Digital, Innovation and Accelerate programmes in order to ensure there are not redundant solutions across the organization Develop flexible and robust run time algorithms (in Python, C++, Java, etc.) Develop and maintain augmented intelligence systems, including natural language processing (NLP) and/or computer vision (CV) solutions Develop robust and reusable augmented intelligence frameworks (using micro-services) You will report to the Senior CoE Lead for Applied Augmented Intelligence. 3-5 years of experience in production level NLP and CV systems A minimum of an Undergraduate Degree in computer science, engineering, statistics, mathematics, and allied disciplines. Strong software engineering skills Strong grounding in programming and systems design Strong grounding in machine learning (ML) approaches and techniques Strong interest in researching and implementing new ML technologies for NLP and CV Insurance domain knowledge a plus Strong communication skills

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