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NTT DATA Logo NTT DATA · IT - Software Development

Senior Data Scientist / Document Extraction Specialist

India, Gurgaon · Job Posted July 04, 2026
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Job Description

We are seeking a highly experienced Senior Data Scientist / Document Extraction Specialist with 9+ years of experience in building intelligent document processing and data extraction solutions. The ideal candidate will have deep expertise in NLP, Document AI, OCR pipelines, and LLM-based extraction and classification, with strong hands-on experience in Python. This role requires proven ability to extract structured data from unstructured financial documents such as fund notices, capital calls, and NAV statements using advanced AI/ML and document understanding techniques.

Job Responsibility

  • Design, develop, and optimize intelligent document processing solutions for extracting structured data from unstructured financial documents
  • Build and enhance NLP and Document AI pipelines using spaCy, Hugging Face, and LangChain
  • Develop and maintain OCR pipelines using tools such as Textract and Tesseract
  • Work with Vision-Language Models (VLMs) and document understanding techniques to improve extraction accuracy
  • Implement LLM-based extraction and classification workflows for financial documents
  • Extract, normalize, and validate key data elements from fund notices, capital calls, NAV statements, and related financial documents
  • Design data preprocessing, post-processing, and quality validation frameworks for extracted output
  • Collaborate with product, engineering, and domain teams to define extraction rules, taxonomy, and business logic
  • Improve model accuracy through prompt engineering, model tuning, annotation feedback, and pipeline optimization
  • Handle semi-structured and unstructured document formats including scanned PDFs, images, and text-heavy documents
  • Develop reusable Python-based components for document parsing, classification, extraction, and validation
  • Evaluate and compare OCR, NLP, and LLM approaches for performance, scalability, and cost efficiency
  • Support deployment, monitoring, and continuous improvement of extraction pipelines in production environments
  • Create technical documentation for extraction logic, model behavior, and processing workflows
  • Mentor junior team members and contribute to AI/ML best practices across the team

Requirements

  • 9+ years of experience in Data Science, NLP, Document AI, or intelligent document processing roles
  • Strong hands-on experience in Python
  • Deep expertise in NLP and Document AI
  • Experience with spaCy, Hugging Face, and LangChain
  • Strong experience building OCR pipelines
  • Hands-on experience with Textract and Tesseract
  • Experience working with VLMs for document understanding and extraction
  • Strong knowledge of LLM-based extraction and classification
  • Proven experience extracting structured data from unstructured financial documents
  • Strong understanding of financial document types such as fund notices, capital calls, and NAV statements
  • Experience with text preprocessing, entity extraction, classification, document parsing, and validation workflows
  • Ability to work with scanned, low-quality, and layout-complex financial documents
  • Strong analytical, debugging, and problem-solving skills
  • Experience collaborating with cross-functional teams in enterprise environments

Nice to have

  • Experience in financial services, asset management, private equity, or investment operations
  • Familiarity with prompt engineering and evaluation of LLM-driven extraction systems
  • Experience with cloud-based document AI or OCR services
  • Exposure to model deployment, MLOps, and production monitoring
  • Knowledge of data validation, confidence scoring, and human-in-the-loop review workflows
  • Experience with table extraction, layout analysis, and document classification frameworks
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