Data Scientist With Genai

Tata Consultancy Services; Addison (TX); On-site; USD 100,000 - 110,000; Full time

Job summary

Tata Consultancy Services Limited in Addison, TX is seeking a Data Scientist to design, develop, and maintain document capture and NLP-driven processing solutions. You will build enterprise-scale ML/NLP models and GenAI capabilities to transform large-scale data into actionable insights and automated workflows.

The role requires a strong software engineering background and hands-on ML/NLP delivery in Agile teams, collaborating with cross-functional stakeholders to deliver scalable solutions

Qualifications

• 7+ years of experience as a Data Scientist or in a related role.
• Bachelor's degree in CS, Data Science, or related field.
• 5+ years of Python programming for ML/NLP development.
• Experience building supervised and unsupervised ML models with feature engineering and evaluation.
• Hands-on experience creating ML/NLP pipelines for large-scale structured and unstructured data.
• 2+ years delivering enterprise ML/NLP solutions (NER, Document Classification, Summarization, Topic Modeling, Sentiment, Dialog).
• Exposure to OCR technologies and GenAI frameworks (Hugging Face, LangChain).
• Experience in Agile software development.

Responsibilities

• Design, build, and deploy ML/NLP models for document processing and analysis.
• Develop end-to-end ML pipelines: ingestion, cleansing, feature engineering, model selection, evaluation.
• Implement GenAI-driven document understanding features (summarization, classification, entity extraction).
• Leverage OCR to process scanned and unstructured documents.
• Develop scalable systems to handle large volumes of data.
• Collaborate with cross-functional teams across Lines of Business, Risk, and Technology.
• Contribute to CI/CD, testing, and deployment best practices.
• Work in an Agile delivery model with sprint planning and releases.

Skills

Data Science

NLP

ML

Agile

Education

Bachelor's degree in CS / Data Science

Tools

Python

Hugging Face

LangChain

OCR

Job description

Job Description

Must Have Technical/Functional Skills

Primary: Data science

Secondary: Data science, NLP, ML, Agile tools

Experience: 7 to 10 yrs

Roles & Responsibilities

Position Summary

The DCRS Inbound Correspondence Team is seeking a highly skilled Data Scientist to design, develop, and maintain document capture and intelligent processing solutions. This role combines machine learning, NLP, and emerging GenAI capabilities to transform large-scale structured and unstructured data into actionable insights and automated workflows.

The ideal candidate brings a strong foundation in software engineering, hands-on experience building enterprise-scale ML/NLP solutions, and exposure to modern open-source Gen AI models. This individual will operate within an Agile environment, partnering across technology and business teams to deliver impactful solutions.

Key Responsibilities

• Design, build, and deploy machine learning and NLP models for document processing and correspondence analysis
• Develop and maintain end-to-end ML pipelines, including:
  • Data ingestion, cleansing, and transformation
  • Feature engineering and model selection
  • Performance tuning, evaluation, and visualization
• Implement GenAI-driven solutions for document understanding (e.g., summarization, classification, entity extraction)
• Build and optimize solutions leveraging OCR technologies for scanned and unstructured documents
• Develop scalable systems to process large volumes of structured and unstructured data
• Partner with cross-functional teams across Line of Business, Risk, and Technology to deliver solutions aligned with business needs
• Contribute to software engineering best practices, including CI/CD, testing, and production deployment
• Work within an Agile delivery model, supporting sprint planning, development, and release cycles

Required Qualifications

• 7+ years of experience as a Data Scientist or in a related role
• Bachelor's degree in computer science, Data Science, or a related technical field
• 5+ years of programming experience, with strong proficiency in Python for ML/NLP development
• Proven experience developing supervised and unsupervised ML models, including:
  • Data analysis and feature engineering
  • Model training, validation, and performance optimization
  • Ensemble techniques and evaluation metrics
• Hands-on experience building ML/NLP pipelines for large-scale datasets (structured & unstructured)
• 2+ years of experience developing enterprise ML/NLP solutions in one or more of the following:
  • Named Entity Recognition (NER)
  • Document Classification
  • Document Summarization
  • Topic Modeling
  • Sentiment Analysis
  • Dialog Systems
• Experience working with OCR technologies and document processing solutions
• Exposure to open-source GenAI models and frameworks (e.g., Hugging Face, LLaMA, Mistral, LangChain)
• Experience working in Agile software development environments

Prefer red Qualifications

• Master's degree in computer science, Data Science, or a related field
• Strong experience collaborating with diverse stakeholders across multiple Lines of Business
• Demonstrated ability to own and deliver initiatives independently
• Strong analytical thinking and problem-solving capabilities
• Experience navigating enterprise data ecosystems and large-scale platforms
• Excellent communication and presentation skills for technical and non-technical audiences
• Ability to prioritize and manage multiple initiatives in a fast-paced environment
• Client-focused mindset with a strong emphasis on delivering business value

Salary Range: $100,000-$110,000 a year

Location

Addison, TX

Function

TECHNOLOGY

Role

Data Scientist

ID

437917

Skills

Artificial Intelligence | Data Science

Salary Range

$100,000 - $110,000

Desired Candidate Profile

Qualifications

BACHELOR OF COMPUTER SCIENCE