Data Scientists / Extraction

Req ID: 377878

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 RD.

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.