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S&C Global Network -AI -CG&S -Manager Data Science

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Job Description

Job Description

Job Title: Industry & Function AI Decision Science Manager + S&C GN

Management Level: 07 - Manager

Location: Primary Bengaluru, Secondary Gurugram

Must-Have Skills: Consumer Goods & Services domain expertise, AI & ML, Proficiency in Python, R, PySpark, SQL, Experience in cloud platforms (Azure, AWS, GCP), Expertise in Revenue Growth Management, Pricing Analytics, Promotion Analytics, PPA/Portfolio Optimization, Trade Investment Optimization.

Good-to-Have Skills: Experience with Large Language Models (LLMs) like ChatGPT, Llama 2, or Claude 2, Familiarity with optimization methods, advanced visualization tools (Power BI, Tableau), and Time Series Forecasting

Job Summary:

As a Decision Science Manager, you will lead the design and delivery of AI solutions in the Consumer Goods & Services domain. This role involves working closely with clients to provide advanced analytics and AI-driven strategies that deliver measurable business outcomes. Your expertise in analytics, problem-solving, and team leadership will help drive innovation and value for the organization.

Roles & Responsibilities:

  • Analyze extensive datasets and derive actionable insights for Consumer Goods data sources (e.g., Nielsen, IRI, EPOS, TPM).
  • Evaluate AI and analytics maturity in the Consumer Goods sector and develop data-driven solutions.
  • Design and implement AI-based strategies to deliver significant client benefits.
  • Employ structured problem-solving methodologies to address complex business challenges.
  • Lead data science initiatives, mentor team members, and contribute to thought leadership.
  • Foster strong client relationships and act as a key liaison for project delivery.
  • Build and deploy advanced analytics solutions using Accenture's platforms and tools.
  • Apply technical proficiency in Python, Pyspark, R, SQL, and cloud technologies for solution deployment.
  • Develop compelling data-driven narratives for stakeholder engagement.
  • Collaborate with internal teams to innovate, drive sales, and build new capabilities.
  • Drive insights in critical Consumer Goods domains such as:
    • Revenue Growth Management
    • Pricing Analytics and Pricing Optimization
    • Promotion Analytics and Promotion Optimization
    • SKU Rationalization/ Portfolio Optimization
    • Price Pack Architecture
    • Decomposition Models
    • Time Series Forecasting

Professional & Technical Skills:


  • Proficiency in AI and analytics solutions (descriptive, diagnostic, predictive, prescriptive, generative).
  • Expertise in delivering large scale projects/programs for Consumer Goods clients on Revenue Growth Management - Pricing Analytics, Promotion Analytics, Portfolio Optimization, etc.
  • Deep and clear understanding of typical data sources used in RGM programs POS, Syndicated, Shipment, Finance, Promotion Calendar, etc.
  • Strong programming skills in Python, R, PySpark, SQL, and experience with cloud platforms (Azure, AWS, GCP) and proficient in using services like Databricks and Sagemaker.
  • Deep knowledge of traditional and advanced machine learning techniques, including deep learning.
  • Experience with optimization techniques (linear, nonlinear, evolutionary methods).
  • Familiarity with visualization tools like Power BI, Tableau.
  • Experience with Large Language Models (LLMs) like ChatGPT, Llama 2.
  • Certifications in Data Science or related fields.

Additional Information:


  • The ideal candidate has a strong educational background in data science and a proven track record in delivering impactful AI solutions in the Consumer Goods sector.
  • This position offers opportunities to lead innovative projects and collaborate with global teams.
  • Join Accenture to leverage cutting-edge technologies and deliver transformative business outcomes.

About Our Company | Accenture

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Experience: Minimum 7-9 years of experience in data science, particularly in the Consumer Goods sector

Educational Qualification: Bachelor's or Master's degree in Statistics, Economics, Mathematics, Computer Science, or MBA (Data Science specialization preferred)

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Job ID: 144859393