Organizational Analytics (OA) Data Scientist (NLP/LLM/GEN AI) - Management Consultant (Talent & Organization)
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
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
About Accenture
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Accenture Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Accenture and has not been reviewed or approved by Accenture.
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Healthcare Strength — Pay is considered competitive when paired with robust insurance options and other perks that compare well with large consulting and IT services peers. Multiple national medical plan options plus dental and vision are positioned as a core strength of the overall package.
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Retirement Support — Retirement support is positioned as a standout feature through a 401(k) dollar-for-dollar match up to a set percentage after eligibility. The package is reinforced by additional financial programs such as savings tools and related resources.
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Parental & Family Support — Parental and caregiving supports are presented as a meaningful benefit differentiator through substantial paid parental leave and multiple caregiver-oriented programs. Backup care and fertility/adoption/surrogacy navigation and reimbursements add breadth to family support beyond leave alone.
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