Data Scientists / Extraction

Req ID:

We are currently seeking a Data Scientists / Extraction to join our team in Gurgaon, Haryāna (IN-HR), India (IN).

Job Title: Senior Data Scientist / Document Extraction Specialist
\n Job Summary:
\n 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.
\n Key Responsibilities:
\n • Design, develop, and optimize intelligent document processing solutions for extracting structured data from unstructured financial documents
\n • Build and enhance NLP and Document AI pipelines using spaCy, Hugging Face, and LangChain
\n • Develop and maintain OCR pipelines using tools such as Textract and Tesseract
\n • Work with Vision-Language Models (VLMs) and document understanding techniques to improve extraction accuracy
\n • Implement LLM-based extraction and classification workflows for financial documents
\n • Extract, normalize, and validate key data elements from fund notices, capital calls, NAV statements, and related financial documents
\n • Design data preprocessing, post-processing, and quality validation frameworks for extracted output
\n • Collaborate with product, engineering, and domain teams to define extraction rules, taxonomy, and business logic
\n • Improve model accuracy through prompt engineering, model tuning, annotation feedback, and pipeline optimization
\n • Handle semi-structured and unstructured document formats including scanned PDFs, images, and text-heavy documents
\n • Develop reusable Python-based components for document parsing, classification, extraction, and validation
\n • Evaluate and compare OCR, NLP, and LLM approaches for performance, scalability, and cost efficiency
\n • Support deployment, monitoring, and continuous improvement of extraction pipelines in production environments
\n • Create technical documentation for extraction logic, model behavior, and processing workflows
\n • Mentor junior team members and contribute to AI/ML best practices across the team
\n Required Skills and Qualifications:
\n • 9+ years of experience in Data Science, NLP, Document AI, or intelligent document processing roles
\n • Strong hands-on experience in Python
\n • Deep expertise in NLP and Document AI
\n • Experience with spaCy, Hugging Face, and LangChain
\n • Strong experience building OCR pipelines
\n • Hands-on experience with Textract and Tesseract
\n • Experience working with VLMs for document understanding and extraction
\n • Strong knowledge of LLM-based extraction and classification
\n • Proven experience extracting structured data from unstructured financial documents
\n • Strong understanding of financial document types such as fund notices, capital calls, and NAV statements
\n • Experience with text preprocessing, entity extraction, classification, document parsing, and validation workflows
\n • Ability to work with scanned, low-quality, and layout-complex financial documents
\n • Strong analytical, debugging, and problem-solving skills
\n • Experience collaborating with cross-functional teams in enterprise environments
\n Preferred Qualifications:
\n • Experience in financial services, asset management, private equity, or investment operations
\n • Familiarity with prompt engineering and evaluation of LLM-driven extraction systems
\n • Experience with cloud-based document AI or OCR services
\n • Exposure to model deployment, MLOps, and production monitoring
\n • Knowledge of data validation, confidence scoring, and human-in-the-loop review workflows
\n • Experience with table extraction, layout analysis, and document classification frameworks
\n Key Competencies:
\n • Intelligent document processing
\n • NLP and document understanding
\n • OCR and extraction pipeline design
\n • LLM-based classification and information extraction
\n • Financial document data extraction
\n • Python-based AI/ML development
\n • Accuracy optimization and production deployment
\n Sample Tech Stack:
\n • Programming: Python
\n • NLP / AI: spaCy, Hugging Face, LangChain
\n • OCR / Document AI: Textract, Tesseract, VLMs
\n • Use Cases: Structured data extraction from fund notices, capital calls, NAV statements
\n • Advanced AI: LLM-based extraction and classification
\n Education:
\n • Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Engineering, or related field preferred

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