Data Scientists / Extraction

Req ID: 377880 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, 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. 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. NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact\-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.