S&C GN - T&O - OA – NLP Data Science & GenAI - Analyst

2 - 4 years

0 Lacs

Posted:1 week ago| Platform: Linkedin logo

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Job Type

Full Time

Job Description

Job Title -

Organizational Analytics-

NLP Gen AI -

Analyst- T&O- (S&C GN)

Management Level: 11 - Analyst

Location: Gurgaon, Mumbai, Bangalore

Must 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 clients

Roles & 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.
About Our Company | Accenture

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