Job Description

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  YOUR ROLE
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 Although no two days at Accenture are the same, as an
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  Organizational Analytics (OA) Scientist (NLP)
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 in our Talent &amp; Organization (T&amp;O) practice, a typical day might include:
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  Fetching information from various sources and analyzing it to better understand people behaviors
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  Use of Natural Language Processing (NLP) Algorithm- Static and Dynamic Word Embeddings, Transfer Learning using Deep Learning Framework
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  Working knowledge on development, deployment and prototyping Gen AI / LLM solutions to improve the product landscape
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  Working with cloud platforms and services for GenAI development, such as Azure for using OpenAI models.
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  Train NLP Models for prescribed requirements: Supervised and Unsupervised topic modeling
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  Web Scraping for data mining using state-of-the-art methods
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  Run numeric simulations leveraging different statistic techniques
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  Selecting features, building and optimizing classifiers using machine learning techniques
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  Processing, cleansing, and verifying the integrity of data used for analysis
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  Doing ad-hoc analysis and presenting results in a clear manner
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  Doing custom analytics to deliver insights to clients
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  Contribute to authoring of Thought leadership and research papers
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  Contribute to innovation and new product development in the people and organization analytics space
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  Qualifications
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  Bachelor/Master&rsquo;s degree in Statistics, Mathematics, Computer Science, Engineer, or Social Sciences
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  3 to 5 years of experience in Natural Language Processing (NLP), Machine Learning and research
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  1 year GenAI model/application development experience using methodologies like Retrieval Augmented Generation(RAG), Few shot learning etc.
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  LLM Engineering skills for enabling teams to quickly and efficiently deploy GenAI applications within cloud environment like Azure, AWS etc.
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  Data fluency and working knowledge of statistical methodologies
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  Data interpretation with working knowledge of analytic models and digital tools (coding experience desirable)
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  Fluency in English
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  Ability to perform in a non-structured and dynamic environment
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  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
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