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