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Data Scientist, Actuarial GenAI

  • Location:

    Hong Kong

  • Sector:

    Informationstechnologie

  • Job type:

    Permanent

  • Salary:

    Negotiable

  • Contact:

    Jackie Vargas

  • Contact email:

    jackie.vargas@oliverjames.com

  • Job ref:

    JOB-092024-257262_1728348614

  • Published:

    etwa 2 Stunden her

  • Expiry date:

    2024-11-07

Our client, a leading insurance company, is looking for a skilled Data Scientist to join their team. In this role, you use your expertise in Generative AI to develop cutting-edge solutions that drive the company's digital transformation. As the ideal candidate, you have hands-on experience in building and deploying AI/ML models. You understand how to apply Generative AI techniques to solve complex business problems and can take ideas from conception to production, making a real impact.

Responsibilities:

  • Develop and implement cutting-edge GenAI solutions tailored to specific business needs and objectives.
  • Utilize generative AI techniques, such as LLMs, to develop innovative solutions for enterprise industry use cases.
  • Conduct research and experimentation to explore new GenAI techniques and algorithms.
  • Identify where Gen AI can be implemented and applied to increase efficiency.
  • Work closely with various business teams to identify areas where AI can help optimize business processes.
  • Explore new approaches that can improve services and make them more efficient.
  • Collaborate with Data Scientists to develop AI-powered systems such as recommendation engines, chatbots, or virtual assistants that provide tailored insurance solutions and responsive customer support.
  • Stay updated with the latest advancements in Generative AI and continuously explore new techniques, tools, and practices to enhance model performance.


Qualifications:

  • Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, or a related discipline.
  • Experience with generative AI models and techniques.
  • 2-5 years of experience in data science, with a focus on AI/ML applications.
  • Strong proficiency in Python and/or R, and experience with Machine Learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch) and NLP/GenAI tools (e.g., NLTK, Hugging Face Transformers, LangChain, LlamaIndex).
  • Proven experience in developing AI solutions and applications.
  • Solid understanding of AI concepts and techniques, without requiring extensive coding or modeling expertise.
  • Good communication skills and the ability to collaborate closely with both business and technology teams.
  • Problem-solving mindset and the ability to think critically.

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