Data Architect Lead Consultant

Req ID: 377878

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.

We are currently seeking a Data Architect Lead Consultant to join our team in Gurgaon, Haryāna (IN-HR), India (IN).

Job Title: Senior Data Scientist / Document Extraction Specialist
Job Summary:
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.
Key Responsibilities:
•    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
Required Skills and Qualifications:
•    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
Preferred Qualifications:
•    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
Key Competencies:
•    Intelligent document processing
•    NLP and document understanding
•    OCR and extraction pipeline design
•    LLM-based classification and information extraction
•    Financial document data extraction
•    Python-based AI/ML development
•    Accuracy optimization and production deployment
Sample Tech Stack:
•    Programming: Python
•    NLP / AI: spaCy, Hugging Face, LangChain
•    OCR / Document AI: Textract, Tesseract, VLMs
•    Use Cases: Structured data extraction from fund notices, capital calls, NAV statements
•    Advanced AI: LLM-based extraction and classification
Education:
•    Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Engineering, or related field preferred

About NTT DATA

NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.

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