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

mid

AnalyticsData & AI

1 views0 saves0 applied

Apply Now

Quick Summary

Key Responsibilities

Although no two days at Accenture are the same, as an Organizational Analytics (OA) Scientist (NLP) in our Talent & Organization (T&O) practice,

Requirements Summary

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,

Technical Tools

AnalyticsData & AI

Responsibilities

~1 min read

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

Requirements

~1 min read

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

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 at www.accenture.com

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.