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Accenture

Advises businesses and runs their technology

AI CG&S Manager Data Science

Data ScienceConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • Requires a minimum of 7–9 years of experience in data science, particularly in the Consumer Goods sector.
  • Requires a Bachelor's or Master's degree in Statistics, Economics, Mathematics, or Computer Science.
  • Requires proficiency in AI and analytics solutions, including descriptive, diagnostic, predictive, prescriptive, and generative analytics.
  • Requires experience delivering large-scale projects or programs for Consumer Goods clients in Revenue Growth Management, including Pricing Analytics, Promotion Analytics, and Portfolio Optimization.
  • Requires understanding of data sources used in Revenue Growth Management programs, including point of sale, syndicated, shipment, finance, and promotion calendar data.
  • Requires strong programming skills in Python, R, PySpark, and SQL; experience with cloud platforms Azure, AWS, or GCP; and proficiency with services such as Databricks and SageMaker.
  • Requires deep knowledge of traditional and advanced machine learning techniques, including deep learning.
  • Requires experience with optimization techniques, including linear, nonlinear, and evolutionary methods.
  • Requires certification in Data Science or a related field.

Responsibilities

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

Desired Qualifications

  • Experience with Large Language Models such as ChatGPT, Llama 2, or Claude 2.
  • Familiarity with optimization methods, advanced visualization tools such as Power BI and Tableau, and Time Series Forecasting.
  • An MBA with a Data Science specialization is preferred.

About the Company

Accenture

Advises businesses and runs their technology

Accenture advises large businesses and public agencies on strategy, builds their technology systems and runs ongoing operations. Its teams connect business planning with implementation, covering areas such as cloud migration, cybersecurity and customer experience. Consultants work with clients to redesign processes, while engineers integrate software from technology partners and maintain the resulting systems for multinational organizations. Clients pay for project work or continuing services, including application support and business processes such as finance and customer service. Accenture was founded in 1989 and has its headquarters in Dublin, Ireland.

Company size
10,001+
Company stage
IPO
Headquarters
Dublin, Ireland
Founded
1989

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