Job Description
47 days ago
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.
All applications applied through our system will be delivered directly to the advertiser and privacy of personal data of the applicant will be ensured with security.
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.
All applications applied through our system will be delivered directly to the advertiser and privacy of personal data of the applicant will be ensured with security.
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