Data scientist with GenAI

Role: Data Scientist

Required Skills: Artificial Intelligence | Data Science

Qualification: BACHELOR OF COMPUTER SCIENCE

Experience: 8 - 10 Years

Function: TECHNOLOGY

Apply By: 2026-12-28

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:

o Data ingestion, cleansing, and transformation

o Feature engineering and model selection

o 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:

o Data analysis and feature engineering

o Model training, validation, and performance optimization

o 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:

o Named Entity Recognition (NER)

o Document Classification

o Document Summarization

o Topic Modeling

o Sentiment Analysis

o 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