Data Scientist - Underwriter/Claims Domain (ML Ops, NLP) - New York / New Jersey / Atlanta (Hybrid)
Our client is looking Data Scientist - Underwriter/Claims domain (ML Ops, NLP) for Long term project in New York / New Jersey / Atlanta (Hybrid) below is the detailed requirements.
Job Title : Data Scientist - Underwriter/Claims domain (ML Ops, NLP)
Location : New York / New Jersey / Atlanta (Hybrid)
Duration : Long term
Job description:
• Bachelor's degree in Computer science or equivalent, with minimum 12+ Years of relevant IT experience.
• Proven experience as a Data Scientist, with a strong background in Underwriting and/or Claims domains within the insurance industry.
• Proficiency in traditional data science methodologies, including statistical analysis, machine learning, and predictive modeling.
• Strong expertise in Natural Language Processing (NLP), specifically for processing insurance-related unstructured data (e.g., claims reports, policyholder communication).
• Hands-on experience with ML Ops practices, including model deployment, monitoring, and version control.
• Expertise in programming languages such as Python, R, or SQL for data manipulation, analysis, and model building.
• Experience with machine learning frameworks and libraries such as scikit-learn, TensorFlow, Keras, PyTorch, and spaCy for NLP tasks.
• Solid understanding of model evaluation metrics and the ability to apply them effectively for business decision-making.
• Experience working with cloud platforms (e.g., AWS, Azure, or Google Cloud) for model deployment and management.
• Strong problem-solving skills and ability to interpret complex data to make actionable business recommendations.
• Excellent communication skills, with the ability to translate technical concepts into business-friendly insights.
• Excellent communication and teamwork skills. Demonstrate excellent communication skills including the ability to effectively communicate with internal and external customers.
• Ability to use strong industry knowledge to relate to customer needs and dissolve customer concerns and high level of focus and attention to detail.
Our client is looking Data Scientist - Underwriter/Claims domain (ML Ops, NLP) for Long term project in New York / New Jersey / Atlanta (Hybrid) below is the detailed requirements.
Job Title : Data Scientist - Underwriter/Claims domain (ML Ops, NLP)
Location : New York / New Jersey / Atlanta (Hybrid)
Duration : Long term
Job description:
• Bachelor's degree in Computer science or equivalent, with minimum 12+ Years of relevant IT experience.
• Proven experience as a Data Scientist, with a strong background in Underwriting and/or Claims domains within the insurance industry.
• Proficiency in traditional data science methodologies, including statistical analysis, machine learning, and predictive modeling.
• Strong expertise in Natural Language Processing (NLP), specifically for processing insurance-related unstructured data (e.g., claims reports, policyholder communication).
• Hands-on experience with ML Ops practices, including model deployment, monitoring, and version control.
• Expertise in programming languages such as Python, R, or SQL for data manipulation, analysis, and model building.
• Experience with machine learning frameworks and libraries such as scikit-learn, TensorFlow, Keras, PyTorch, and spaCy for NLP tasks.
• Solid understanding of model evaluation metrics and the ability to apply them effectively for business decision-making.
• Experience working with cloud platforms (e.g., AWS, Azure, or Google Cloud) for model deployment and management.
• Strong problem-solving skills and ability to interpret complex data to make actionable business recommendations.
• Excellent communication skills, with the ability to translate technical concepts into business-friendly insights.
• Excellent communication and teamwork skills. Demonstrate excellent communication skills including the ability to effectively communicate with internal and external customers.
• Ability to use strong industry knowledge to relate to customer needs and dissolve customer concerns and high level of focus and attention to detail.
