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Lead Data Scientist
3 months ago
Shape the Future of Insurance with Data Science at Aon
Aon is a global leader in risk management, and we're revolutionizing vehicle insurance through cutting-edge data science. As Head of Data Science for our Future Mobility team, you'll lead the charge in harnessing real-time telematics data to create innovative products that redefine how people experience insurance.
Your ImpactYou'll be at the forefront of our technical and strategic vision, driving the development and implementation of advanced analytics solutions. Your leadership will shape the future of our data-driven products and set the direction for how we leverage technology to achieve our goals.
Key Responsibilities- Technical Visionary: Establish and drive the technical strategy for analytics and data science across the team. Ensure our approaches are scalable, innovative, and aligned with our mission to redefine mobility insurance.
- Team Leadership: Lead a high-caliber team of data scientists, fostering an environment of creativity and excellence. Your leadership will encourage a culture of continuous learning and development, empowering your team to innovate and excel.
- Model Development & Deployment: Design, train, deploy, and own predictive models in production. Monitor their performance and ensure their reliability and effectiveness through the use of best-in-class MLOps practices. Your work will directly influence our product offerings and the future of telematics-based insurance products.
- Strategic Collaboration: Work alongside our product team and a team of talented engineers on our cutting-edge platform to ensure that our data strategies complement business objectives, driving growth and innovation.
You possess deep experience with:
- Python development, with a portfolio of large-scale production-grade ML services.
- Deep understanding of machine learning, applied statistics, and relevant data science Python libraries.
- Proven expertise in deep learning and ownership of production models.
- Proven track record of running high-functioning data science teams
Nice-to-Haves: Experience in telematics, signal processing, geo-spatial analytics, autonomous vehicles, insurance analytics & pricing or accident modeling. Familiarity with distributed computing frameworks.
