Data Scientists / Extraction
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 Scientists / Extraction to join our team in Gurgaon, Haryana (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.
Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client's needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.
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