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

Accenture; Hinoba-an; Hybrid; PHP 2,309,000 - 4,618,000; Full time

Job summary

Accenture is seeking a Decision Science Manager to lead AI-driven solutions for Consumer Goods & Services. You will design, implement and scale analytics strategies, partnering with clients to drive measurable business outcomes.

You will mentor a team of data scientists, collaborate with cross-functional teams, and apply advanced analytics to revenue growth, pricing, promotions, portfolio optimization and time series forecasting.

Qualifications

• Extensive experience delivering AI/analytics in Consumer Goods.
• Strong data sources knowledge (POS, syndicated, EPOS, finance).
• Proven track record leading large analytics programs.

Responsibilities

• Analyze large datasets from CG data sources to derive insights.
• Evaluate AI maturity and deliver data-driven solutions.
• Design AI-based strategies to deliver client value.
• Apply problem-solving methodologies to business challenges.
• Lead data science initiatives and mentor team members.
• Maintain strong client relationships and lead project delivery.
• Develop analytics solutions using Accenture platforms and tools.
• Utilize Python, PySpark, R, SQL and cloud tech for deployment.
• Create compelling data narratives for stakeholders.
• Collaborate with internal teams to drive sales and capabilities.
• Drive CG domain insights in RGM, pricing, promotions, portfolio optimization.

Skills

Domain expertise in Consumer Goods & e

AI & ML

Python

R

PySpark

SQL

Cloud platforms (Azure, AWS, GCP)

Revenue Growth Management

Pricing Analytics

Promotion Analytics

PPA/Portfolio Optimization

Trade Investment Optimization

LLMs (ChatGPT, Llama 2, Claude 2)

Power BI / Tableau

Time Series Forecasting

Education

Bachelor’s or Master’s in Statistics / Economics / Mathematics / CS / MBA (Data Science)

Tools

Databricks

Sagemaker

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

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)

Equal Employment Opportunity Statement

All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

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