Organizational Analytics (OA) Data Scientist (NLP/LLM/GEN AI) – Management Consultant (Talent & Organization)

Job title: Organizational Analytics (OA) Data Scientist (NLP/LLM/GEN AI) – Management Consultant (Talent & Organization)

Company: Accenture


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 FrameworkWorking knowledge on development, deployment and prototyping Gen AI / LLM solutions to improve the product landscapeWorking 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 modelingWeb Scraping for data mining using state-of-the-art methodsRun numeric simulations leveraging different statistic techniquesSelecting features, building and optimizing classifiers using machine learning techniquesProcessing, cleansing, and verifying the integrity of data used for analysisDoing ad-hoc analysis and presenting results in a clear mannerDoing custom analytics to deliver insights to clientsContribute to authoring of Thought leadership and research papersContribute to innovation and new product development in the people and organization analytics spaceQualifications:Bachelor/Master’s degree in Statistics, Mathematics, Computer Science, Engineer, or Social Sciences3 to 5 years of experience in Natural Language Processing (NLP), Machine Learning and research1 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 methodologiesData interpretation with working knowledge of analytic models and digital tools (coding experience desirable)Fluency in EnglishAbility to perform in a non-structured and dynamic environmentDesirable: 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 servicesAbout Accenture We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other.We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work.At Accenture, we see well-being holistically, supporting our people’s physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We’re proud to be consistently recognized as one of the World’s Best Workplaces™.Join Accenture to work at the heart of change.Visit us atEqual Employment Opportunity StatementAll employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.Accenture is committed to providing veteran employment opportunities to our service men and women.

Expected salary:

Location: Kuala Lumpur

Job date: Fri, 25 Jul 2025 06:57:33 GMT

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