S&c Gn - T&o - Oa - Nlp Data Science & Genai - Analyst @ Accenture

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S&c Gn - T&o - Oa - Nlp Data Science & Genai - Analyst

Accenture
2 - 4 years
Noida, Gurugram
3 days ago
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Job Description

About The Role About The Role Job Title - Organizational Analytics- NLP Gen AI - Analyst- T&O- (S&C GN)Management Level:11 - Analyst Location:Gurgaon, Mumbai, BangaloreMust have skills:NLP OR Natural Language Processing OR Gen AI OR Generative AI OR LLM
Good to have skills:Workforce, people analytics Experience:Minimum 2-4 year(s) of experience is required
Educational Qualification:Any Master's degree Full time Job Summary:Although no two days at Accenture are the same, as an Organizational Analytics (OA) Analyst in our Talent & Organization (T&O) practice, a typical day might include:Comfortable with developing and deploying data-driven solutions to People transformation efforts for Accenture's Global and Local clientsRoles & Responsibilities:

Engage with clients to understand their challenges, requirements and concerns to determine the best OA solution

Identify, analyze, and interpret trends or patterns in complex data sets to develop business solutions

Define data-backed people strategies to support business transformational programs

Co-create solutions and assist clients in developing action plans

Build strong relationships with clients and foster business growth

Contribute to T&O practice-building efforts

Professional and Technical Skills:

2 to 4 years of experience in people analytics and people management-related programs (workforce transformation, workforce M&A strategy, culture transformations, I&D strategy etc.)

Working knowledge on interpreting Natural Language Processing (NLP) based ML model results

Good to have NLP project exposure on any domain. Knowing to run python-based ML algorithms is an added advantage.

Data fluency and working knowledge of statistical methodologies.

Understanding of generative AI techniques such as variational autoencoders (VAEs), generative adversarial networks (GANs), and autoregressive models.

Data interpretation with working knowledge of analytic models and digital tools

Fluency in English is required, additional language capabilities are highly advantageous

Ability to perform in a non-structured and dynamic environment

Additional Information:

Natural leader; easily establishes relationships with clients and colleagues.

Team Player; enjoys the intellectual stimulation of collaborating with colleagues around the world.

Determined; appreciates a challenge and overcoming obstacles to achieve results.

Digitally savvy; continuous learner.

A transparent career path designed for rapid career progression.

A supportive culture that is serious about training, coaching and continuous learning.

A global network where only state-of-the-art tools and technologies will do.

A bighearted environment with opportunities to give back to our local communities.

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