Society of Exploration Geophysicists
Data Scientist - LLM
Society of Exploration Geophysicists, New York, New York, us, 10261
Our client are a leading innovator in the insurance industry and they are hiring a Data Scientist with skills in Large Language Models to join their team in New York. The successful candidate will develop rapid testing capabilities for emerging technologies and translate cutting-edge research into actionable solutions across the organization.
Responsibilities
As the Data Scientist, you will contribute to the development and implementation of Deep Learning and Generative AI models to foster innovation across different products.Create and enhance high-quality prompts and templates for Large Language Models to ensure precise, relevant and fluent responses.Analyze and map data from various sources, including insurance contracts and customer service logs.Deploy AI/ML solutions to optimize underwriting risk assessment, claims processing and customer service.Handle unsupervised pre-training, fine-tuning and retrieval augmentation for large-scale model experimentation.Evaluate LLM models using multiple metrics and actively participate in the development and refinement of the data science team and use cases.
Skillset
PhD or Master’s degree in Computer Science, Data Science or equivalent.Practical experience with deep learning, LLMs, prompt engineering and NLP.Skilled in Python, PyTorch, TensorFlow and GPU/distributed computing.Proven experience in data analysis, statistical modelling and developing data science solutions.A strong interest in AI/ML algorithms and their role in addressing complex business challenges.
Salary: Max. $150k
Interested? Apply now in the link below.
46768#J-18808-Ljbffr
Responsibilities
As the Data Scientist, you will contribute to the development and implementation of Deep Learning and Generative AI models to foster innovation across different products.Create and enhance high-quality prompts and templates for Large Language Models to ensure precise, relevant and fluent responses.Analyze and map data from various sources, including insurance contracts and customer service logs.Deploy AI/ML solutions to optimize underwriting risk assessment, claims processing and customer service.Handle unsupervised pre-training, fine-tuning and retrieval augmentation for large-scale model experimentation.Evaluate LLM models using multiple metrics and actively participate in the development and refinement of the data science team and use cases.
Skillset
PhD or Master’s degree in Computer Science, Data Science or equivalent.Practical experience with deep learning, LLMs, prompt engineering and NLP.Skilled in Python, PyTorch, TensorFlow and GPU/distributed computing.Proven experience in data analysis, statistical modelling and developing data science solutions.A strong interest in AI/ML algorithms and their role in addressing complex business challenges.
Salary: Max. $150k
Interested? Apply now in the link below.
46768#J-18808-Ljbffr