About The RoleWe are seeking an innovative Data Scientist specializing in Natural Language Processing (NLP) to join our technology team in Bangalore. The ideal candidate will harness the power of language models and document extraction techniques to transform legal information into accessible, actionable insights for our clients.
ResponsibilitiesDevelop and implement NLP solutions to automate legal document analysis and extractionCreate and optimize prompt engineering strategies for large language modelsDesign search functionality leveraging semantic understanding of legal documentsBuild document extraction pipelines to process unstructured legal text dataDevelop data visualizations using PowerBI and Tableau to communicate insightsCollaborate with product and legal teams to enhance our tech-enabled servicesContinuously improve model performance and user experienceRequirementsBachelor's degree in relevant field1-5 years of professional experience in data science, with focus on NLP applicationsDemonstrated experience working with LLM APIs (e. g.
, OpenAI, Anthropic, )Proficiency in prompt engineering and optimization techniquesExperience with document extraction and information retrieval systemsStrong skills in data visualization tools, particularly PowerBI and TableauExcellent programming skills in Python and familiarity with NLP librariesStrong understanding of legal terminology and document structures (preferred)Excellent communication skills in EnglishWhat We OfferCompetitive salary and benefits packageOpportunity to work at India's largest legal tech companyProfessional growth in the fast-evolving legal technology sectorCollaborative work environment with industry expertsModern office located in BangaloreFlexible work arrangementsQualified candidates are encouraged to apply with a resume highlighting relevant experience with NLP, prompt engineering, and data visualization tools. Location:
Bangalore, IndiaSkills: - Machine Learning (ML), Data Science, Generative AI, Artificial Intelligence (AI), Natural Language Processing (NLP) and Large Language Models (LLM) tuning
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