Gen-AI Data Scientist

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.