Applies knowledge of sophisticated analytics techniques to manipulate large structured and unstructured data sets to generate insights to inform business decisions. Designs, develops and deploys Natural Language Processing (NLP) models and algorithms such as transformers, encoder and decoder models in projects. Follows the latest models, algorithms and trends in NLP field. Explores and applies Computer vision algorithms in insurance domain. Applies machine learning models to support risk selection and pricing decisions in insurance. Identifies and tests hypotheses, ensuring statistical significance, as part of building and developing predictive models for business application. Translates quantitative analyses and findings into accessible visuals for non-technical audiences, providing a clear view into interpreting the data. Documents and presents work progress, findings, and potential chances to both technical and non-technical audience. Enables the business to make clear trade-offs between and among choices, with a reasonable view into likely outcomes. Responsible for part of components of highly complex projects; Guide others as a technical consultant for the team. Customizes analytic solutions to specific client needs. Responsible for smaller components of projects of moderate-to-high complexity. Regularly engages with the data science community and participates in cross-functional working groups. Telecommuting permitted up to 100%.