I&F Decision Sci Practitioner Specialist

 About The Role  


Skill required: Delivery - Supply Chain Analytics


Designation: I&F Decision Sci Practitioner Specialist


Qualifications:Any Graduation


Years of Experience:7 to 11 years
What would you do?
Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities. Visit us at www.accenture.com.We are seeking a highly skilled and self-driven individual contributor to join our Decision Science team. The ideal candidate will have extensive experience in extracting structured, unstructured, and handwritten data from diverse document formats including PDFs, scanned images, and other digital artifacts. This role demands deep expertise in Natural Language Processing (NLP), Optical Character Recognition (OCR), and Python-based automation to build scalable solutions for intelligent document understanding.


What are we looking for?
5+ years of hands-on experience in Python programming Strong proficiency in OCR tools (e.g., Tesseract, Google Vision, Azure Form Recognizer) Solid understanding of NLP techniques (e.g., tokenization, named entity recognition, topic modeling) Experience with document processing libraries e.g., PyMuPDF, pdfminer, OpenCV Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch) is a plus Ability to work independently and manage end-to-end solution delivery


Roles and Responsibilities: Design and implement robust pipelines for extracting data from structured, semi-structured, and unstructured documents Apply OCR techniques to digitize and interpret handwritten and scanned content using tools like Tesseract, EasyOCR, or AWS Textract Develop NLP models for entity recognition, document classification, and semantic understanding Build and maintain Python-based frameworks for document parsing, preprocessing, and feature engineering Collaborate with cross-functional teams to integrate document intelligence into business workflows Evaluate and optimize model performance for accuracy, latency, and scalability Maintain documentation and ensure compliance with data governance and security standards

 Qualification Any Graduation