Hi,
Our client is looking for a
Gen-AI Data Scientist - Underwriter/Claims domain (ML Ops, NLP) for Contract project in New York / New Jersey / Atlanta (Hybrid) below is the detailed requirement.
If you are interested kindly share your
updated resume to proceed further.
Job Role: Gen-AI Data Scientist - Underwriter/Claims domain (ML Ops, NLP) Location: New York / New Jersey / Atlanta (Hybrid)Mode of Hiring: Long Term Contract Domain Exp: Insurance Required Skills: - Bachelor's degree in Computer science or equivalent, with minimum 12+ Years of relevant experience.
- Experience: 5+ years of experience working as a Data Scientist in the insurance domain, particularly in Underwriting/Claims.
- GenAI Expertise: Strong background in Generative AI techniques and tools, with a proven ability to apply these technologies to insurance use cases.
- Machine Learning (ML) & NLP: Expertise in ML algorithms and NLP techniques for document classification, entity extraction, text summarization, and sentiment analysis.
- ML Ops: Proficient in ML Ops practices, including model deployment, version control, automated testing, and performance monitoring in production environments.
- Programming Languages: Proficiency in Python (preferred), R, and libraries such as TensorFlow, PyTorch, scikit-learn, and spaCy.
- Data Processing Tools: Strong experience with data wrangling, feature engineering, and working with SQL, NoSQL, and big data technologies like Hadoop or Spark.
- Domain Knowledge: Understanding of the Underwriting and Claims lifecycle in the insurance industry, with an ability to translate business challenges into AI-driven solutions.
- Cloud & Deployment: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and deploying models using Docker, Kubernetes, and other containerization technologies.
- Communication Skills: Ability to communicate complex technical concepts to non-technical stakeholders effectively.
Preferred Skills: - Familiarity with Deep Learning techniques, such as transformers (BERT, GPT), for text analysis.
- Experience in the insurance industry, specifically within claims management and underwriting processes.
- Knowledge of regulatory compliance and data privacy standards relevant to the insurance industry.