Job Description

Job Responsibilities:

Although no two days at Accenture are the same, as an

Organizational Analytics (OA) Scientist (NLP)

in our Talent & Organization (T&O) practice, a typical day might include:

Fetching information from various sources and analyzing it to better understand people behaviors Use of Natural Language Processing (NLP) Algorithm- Static and Dynamic Word Embeddings, Transfer Learning using Deep Learning Framework Working knowledge on development, deployment and prototyping Gen AI / LLM solutions to improve the product landscape Working with cloud platforms and services for GenAI development, such as Azure for using OpenAI models. Train NLP Models for prescribed requirements: Supervised and Unsupervised topic modeling Web Scraping for data mining using state-of-the-art methods Run numeric simulations leveraging different statistic techniques Selecting features, building and optimizing classifiers using machine learning techniques Processing, cleansing, and verifying the integrity of data used for analysis Doing ad-hoc analysis and presenting results in a clear manner Doing custom analytics to deliver insights to clients Contribute to authoring of Thought leadership and research papers Contribute to innovation and new product development in the people and organization analytics space

Key Qualifications:

Bachelor/Master's degree in Statistics, Mathematics, Computer Science, Engineer, or Social Sciences 3 to 5 years of experience in Natural Language Processing (NLP), Machine Learning and research 1 year GenAI model/application development experience using methodologies like Retrieval Augmented Generation(RAG), Few shot learning etc. LLM Engineering skills for enabling teams to quickly and efficiently deploy GenAI applications within cloud environment like Azure, AWS etc. Data fluency and working knowledge of statistical methodologies Data interpretation with working knowledge of analytic models and digital tools (coding experience desirable) Fluency in English Ability to perform in a non-structured and dynamic environment Desirable: Code (e.g., Python, R ) developer experience, including writing and testing code, debugging programs
and deploying the models or integrating applications with third-party web services