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Zurich Insurance
Senior Data Scientist / Data Scientist
November 5, 2024
- Strategic Problem Solving: Identify and define key business challenges that can be tackled using advanced machine learning and NLP techniques. Convert complex requirements into actionable data science projects.
- Advanced Model Development: Design, develop, and deploy sophisticated NLP models, including large language models (LLMs) and retrieval systems, for tasks such as answer generation and conversational AI. Use retrieval-augmented generation (RAG) methods to boost model performance and accuracy.
- Algorithmic Expertise: Leverage your deep understanding of machine learning algorithms, statistical methods, and mathematical principles to craft innovative solutions addressing real-world problems and enhancing user engagement.
- Collaboration and Leadership: Collaborate closely with business stakeholders to grasp requirements, define success metrics, and align with business goals. Work with cross-functional teams to deliver end to end solutions.
- System Architecture and Scalability: Manage the integration of machine learning models into production systems. Collaborate with engineering teams to build scalable, high-performance data pipelines and ensure robust model deployment in live environments.
- Research and Innovation: Stay updated on the latest research in NLP, AI, and related fields. Contribute to advancing the company's technology stack and explore new methodologies to maintain a competitive industry edge.
- Master degree in Computer Science, Data Science, Statistics, or a related field. and 6 or more years of experience in data science
- Expertise in machine learning frameworks (e.g., Tensor Flow, Py Torch), NLP libraries (e.g., spa Cy, Hugging Face Transformers), and experience with retrieval-augmented generation (RAG) techniques. Proficiency in programming languages such as Python and familiarity with big data technologies (e.g., Hadoop, Spark) is required.
- Excellent verbal and written communication skills. Ability to convey complex technical concepts to non-technical stakeholders and collaborate effectively across teams.
- Strong problem-solving skills.
Join us as we constantly explore new ways to protect our customers and the planet.
- Location(s): HK - Hong Kong
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